Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets | Paper Citation Record

Observation c40cf6ef-6ece-4305-8f01-2498b87dbbf3 · outbound

This paper cites Incidence of Lower Urinary Tract Symptoms in a Population-Based Study of Men and Women.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Incidence of Lower Urinary Tract Symptoms in a Population-Based Study of Men and Women

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.317181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 44144188-5f8b-46cc-8cf0-76db2307e3d9 · outbound

This paper cites The standardisation of terminology of lower uri- nary tract function: report from the Standardisation Sub-committee of the International Continence Society.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets The standardisation of terminology of lower uri- nary tract function: report from the Standardisation Sub-committee of the International Continence Society

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.282042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f22b8431-d892-4b55-adfd-5b5d6fd6042b · outbound

This paper cites Worldwide prevalence estimates of lower urinary tract symptoms, overactive bladder, urinary incontinence and bladder outlet obstruction.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Worldwide prevalence estimates of lower urinary tract symptoms, overactive bladder, urinary incontinence and bladder outlet obstruction

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.258551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 79d668d4-542d-4786-8f70-260828b9964d · outbound

This paper cites Prevalence, Burden, and Treatment of Lower Urinary Tract Symptoms in Men Aged 50 and Older: A Sys- tematic Review of the Literature.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Prevalence, Burden, and Treatment of Lower Urinary Tract Symptoms in Men Aged 50 and Older: A Sys- tematic Review of the Literature

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.395542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation adcb7c9c-67a1-4093-81f8-a103971f3170 · outbound

This paper cites Fundamentals of urodynamic practice, based on International Continence Society good urodynamic practices recommen- dations.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Fundamentals of urodynamic practice, based on International Continence Society good urodynamic practices recommen- dations

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.380388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 298cf77e-98a6-4e5d-972f-a63feac7c54a · outbound

This paper cites an unresolved cited work.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-05-22T04:46:05.352193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f5c521ec-c33e-402d-8e04-74938d3c7343 · outbound

This paper cites Artifacts in Urodynamic Studies: A Narrative Review.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Artifacts in Urodynamic Studies: A Narrative Review

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.374155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation db6651ef-868b-489e-bac8-55f20a5e39b0 · outbound

This paper cites Anxiety, distress, and pain in pediatric urody- namics.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Anxiety, distress, and pain in pediatric urody- namics

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.320265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 22cc3748-b0f5-4bf6-8d5b-9eac6598f067 · outbound

This paper cites Intraurethral lidocaine use during urodynamics in female patients: A systematic review and meta-analysis.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Intraurethral lidocaine use during urodynamics in female patients: A systematic review and meta-analysis

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.401340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 44614ce7-a5c4-4c3c-80dc-6fdade1b030d · outbound

This paper cites Catheter-Free Urodynamics Testing: Current Insights and Clinical Potential.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Catheter-Free Urodynamics Testing: Current Insights and Clinical Potential

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.346339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 08e64a60-3f56-4683-9b08-d36847a1f3e8 · outbound

This paper cites Real-Time Classification of Bladder Events for Effective Diagnosis and Treatment of Urinary Incontinence.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Real-Time Classification of Bladder Events for Effective Diagnosis and Treatment of Urinary Incontinence

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.339287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7c0d68e0-6598-4b5f-be81-95b298258008 · outbound

This paper cites Feasibility of Real-Time Conditional Sacral Neuro- modulation Using Wireless Bladder Pressure Sensor.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Feasibility of Real-Time Conditional Sacral Neuro- modulation Using Wireless Bladder Pressure Sensor

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.285333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9ffaeca4-b8ed-458d-a37d-7078eacef60a · outbound

This paper cites Ambulatory urodynamic monitoring: state of the art and future directions.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Ambulatory urodynamic monitoring: state of the art and future directions

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.323172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7d672f0d-c071-4734-9c70-43247edeb2a1 · outbound

This paper cites The AUA/SUFU Guideline on Adult Neurogenic Lower Urinary Tract Dysfunction: Diagnosis and Evaluation.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets The AUA/SUFU Guideline on Adult Neurogenic Lower Urinary Tract Dysfunction: Diagnosis and Evaluation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.313980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 58ba1247-5905-482d-9870-7d3802893adc · outbound

This paper cites First in Human Subjects Testing of the UroMonitor: A Catheter-free Wireless Ambulatory Bladder Pressure Monitor.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets First in Human Subjects Testing of the UroMonitor: A Catheter-free Wireless Ambulatory Bladder Pressure Monitor

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.267882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0dff9664-357e-4e9c-8e1b-263e1712a24f · outbound

This paper cites Validation of a Wireless Catheter-Free Ambulatory Urodynamics Device in Women With Neurogenic Bladder.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Validation of a Wireless Catheter-Free Ambulatory Urodynamics Device in Women With Neurogenic Bladder

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.310921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2666fb72-43c4-4f3b-a796-7937772d9e22 · outbound

This paper cites The Feasibility and Safety of the Glean Urodynamics System: The Modern Urodynamics System Efficacy Study.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets The Feasibility and Safety of the Glean Urodynamics System: The Modern Urodynamics System Efficacy Study

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.271882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f37e14f1-7395-4d93-816c-ea7e140dcb64 · outbound

This paper cites Pattern recognition algorithm to identify detrusor overactivity on urodynamics.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Pattern recognition algorithm to identify detrusor overactivity on urodynamics

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.332623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 21c6faaa-d296-46c0-b3ed-de2b2c35cbf9 · outbound

This paper cites Machine Learning for Urodynamic Detection of Detrusor Overactivity.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Machine Learning for Urodynamic Detection of Detrusor Overactivity

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.249786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ac2c39fa-e56b-4384-bf15-d7b5aade95e2 · outbound

This paper cites Deep Learning and Numerical Analysis for Bladder Outflow Obstruction and Detrusor Underactivity Diagnosis in Men: A Novel Urodynamic Evaluation Scheme.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Deep Learning and Numerical Analysis for Bladder Outflow Obstruction and Detrusor Underactivity Diagnosis in Men: A Novel Urodynamic Evaluation Scheme

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.261406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b69aa4a6-45c8-4680-adab-d71f62197fbe · outbound

This paper cites Real-Time Typical Urodynamic Signal Recognition System Using Deep Learning.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Real-Time Typical Urodynamic Signal Recognition System Using Deep Learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.335935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ad80d0c3-f904-4115-b8bf-713607a4a2c3 · outbound

This paper cites Applications of machine learning in urodynamics: A narrative review.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Applications of machine learning in urodynamics: A narrative review

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.326152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bada23f5-1408-43b0-a124-1368e8a90d25 · outbound

This paper cites Can we use machine learning to improve the interpretation and application of urodynamic data?: ICI-RS 2023.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Can we use machine learning to improve the interpretation and application of urodynamic data?: ICI-RS 2023

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.389653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation de3e975f-7baa-4653-83d3-1eabdc69f3ed · outbound

This paper cites The Future of Urodynamics: Innovations, Challenges, and Possibilities.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets The Future of Urodynamics: Innovations, Challenges, and Possibilities

Reference 24

Resolution: verified exact; doi, observed 2026-05-22T04:46:04.453849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b7cbfb0c-1969-45fa-be9a-211be8b1dfb1 · outbound

This paper cites Real-Time, Single-Sensor Urological Event Detection Using Machine Learning on Low-Power Hardware.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Real-Time, Single-Sensor Urological Event Detection Using Machine Learning on Low-Power Hardware

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.343213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7fe81616-1a73-4c86-9fa6-36b527b55985 · outbound

This paper cites Real-Time Wavelet Processing and Classifier Algorithms Enabling Single-Channel Diagnosis of Lower Urinary Tract Dysfunction.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Real-Time Wavelet Processing and Classifier Algorithms Enabling Single-Channel Diagnosis of Lower Urinary Tract Dysfunction

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.278535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 70b7773c-982b-4c9b-b8d3-a1c6c55b0d66 · outbound

This paper cites Estimation of wavelet and short-time Fourier trans- form sonograms of normal and diabetic subjects’ electrogastrogram.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Estimation of wavelet and short-time Fourier trans- form sonograms of normal and diabetic subjects’ electrogastrogram

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.301866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c1c40962-5922-4de6-8409-e3ab262f6398 · outbound

This paper cites A comparison of the wavelet and short-time fourier transforms for Doppler spectral analysis.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets A comparison of the wavelet and short-time fourier transforms for Doppler spectral analysis

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.304954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 77fde9c1-9cc5-4e32-8449-d4be441cf25b · outbound

This paper cites Wavelet-based segmentation and feature extraction of heart sounds for intelligent PDA-based phonocardiography.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Wavelet-based segmentation and feature extraction of heart sounds for intelligent PDA-based phonocardiography

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.253187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 73ecde89-e9f2-4b90-bc94-1d809f5c7163 · outbound

This paper cites Artificial intelligence reading of cystometric traces provides good correlation with human diagnosis.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Artificial intelligence reading of cystometric traces provides good correlation with human diagnosis

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.308019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 88960274-72df-4334-989c-72ae40d2951e · outbound

This paper cites An Efficient and Automatic ECG Arrhythmia Diagnosis System using DWT and HOS Features and Entropy- Based Feature Selection Procedure.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets An Efficient and Automatic ECG Arrhythmia Diagnosis System using DWT and HOS Features and Entropy- Based Feature Selection Procedure

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.291844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 082774be-5968-4bdc-9f7d-e75d34d44ce6 · outbound

This paper cites Wavelet transform feature extraction from human PPG, ECG, and EEG signal responses to ELF PEMF exposures: A pilot study.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Wavelet transform feature extraction from human PPG, ECG, and EEG signal responses to ELF PEMF exposures: A pilot study

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.295067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9d3acd20-e188-4818-bbba-acd346d7eb14 · outbound

This paper cites Functional multi-layer perceptron: a non- linear tool for functional data analysis.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Functional multi-layer perceptron: a non- linear tool for functional data analysis

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.365168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 74909c9a-e714-484b-8685-e956f1e1553b · outbound

This paper cites A novel hybrid classification model of artificial neural networks and multiple linear regression models.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets A novel hybrid classification model of artificial neural networks and multiple linear regression models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.329243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 211f00c7-1f82-47b3-8a49-ccc4af22e969 · outbound

This paper cites A multi-layer perceptron neural network for varied conditional attributes in tabular dispersed data.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets A multi-layer perceptron neural network for varied conditional attributes in tabular dispersed data

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.288720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fcab11b1-6fd0-4a76-a69c-1c491764da02 · outbound

This paper cites Relief-based feature selection: Introduction and review.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Relief-based feature selection: Introduction and review

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.298920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9706df06-4b8e-461d-acca-9be059456d6e · outbound

This paper cites Estimating attributes: Analysis and extensions of RELIEF.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Estimating attributes: Analysis and extensions of RELIEF

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.275038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c4c9d491-d20b-4df6-9b6a-37ec4f868aa3 · outbound

This paper cites an unresolved cited work.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-05-22T04:46:05.264205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1d196f4c-2481-4eb3-9e4d-35bf18268bb6 · outbound

This paper cites Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-22T04:46:04.898577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1c25a8a7-7052-4363-9504-8890d0d6948f · outbound

This paper cites An introduction to ROC analysis.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets An introduction to ROC analysis

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.255812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 234c9384-f36b-4c31-9a57-5e43265379f2 · outbound

This paper cites Predictive modeling with linear machine learning can estimate glioblastoma survival in months based solely on MGMT- methylation status, age and sex.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Predictive modeling with linear machine learning can estimate glioblastoma survival in months based solely on MGMT- methylation status, age and sex

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.392789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3e62e2d9-7a6d-420c-adb2-344b6fb88bba · outbound

This paper cites Machine learning used to determine features of importance linked to overnight stay after patellar tendon repair.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Machine learning used to determine features of importance linked to overnight stay after patellar tendon repair

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.377194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec039893-27f6-40dd-a634-fb1db8f2c0b2 · outbound

This paper cites Investigating the mental health of university students during the COVID-19 pandemic in a UK university: a machine learning approach using feature permutation importance.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Investigating the mental health of university students during the COVID-19 pandemic in a UK university: a machine learning approach using feature permutation importance

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.371603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f22d479c-b071-4e85-89cd-6321f46e40f4 · outbound

This paper cites Permutation-based identification of important biomarkers for complex diseases via machine learning models.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Permutation-based identification of important biomarkers for complex diseases via machine learning models

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.383498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e950428b-de50-48ee-9478-30f7d047d570 · outbound

This paper cites Interrater Reliability in Pediatric Urodynamic Tracings: A Pilot Study.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Interrater Reliability in Pediatric Urodynamic Tracings: A Pilot Study

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.368262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 68a8be13-adae-4ad8-95c3-ee8148ee0435 · outbound

This paper cites Interrater Reliability in Interpretation of Neuro- pathic Pediatric Urodynamic Tracings: An Expanded Multicenter Study.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Interrater Reliability in Interpretation of Neuro- pathic Pediatric Urodynamic Tracings: An Expanded Multicenter Study

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.355020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ea9cf588-c90a-4e6e-a6b3-a2c044337dc2 · outbound

This paper cites Automated quantification of low amplitude rhythmic contractions (LARC) during real-world urodynamics identifies a potential detrusor overactivity subgroup.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Automated quantification of low amplitude rhythmic contractions (LARC) during real-world urodynamics identifies a potential detrusor overactivity subgroup

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.359076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 46503c10-aa14-4cfc-ad2b-af296ae5615a · outbound

This paper cites A Pilot Study: Detrusor Overactivity Diagnosis Method Based on Deep Learning.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets A Pilot Study: Detrusor Overactivity Diagnosis Method Based on Deep Learning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.362050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 69f6b1ed-4a2b-43da-94e5-88d03e04c93e · outbound

This paper cites The AUA/SUFU guideline on the diagnosis and treatment of idiopathic overactive bladder.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets The AUA/SUFU guideline on the diagnosis and treatment of idiopathic overactive bladder

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.349520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e9eb7212-cb11-4b89-a583-0b56af602dd2 · outbound

This paper cites Artefact detection and quality assessment of ambu- latory ECG signals.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Artefact detection and quality assessment of ambu- latory ECG signals

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.386491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 524492de-f906-4fa9-a364-d2a090a79371 · outbound

This paper cites Optimization of activity-driven event detection for long-term ambulatory urodynamics.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Optimization of activity-driven event detection for long-term ambulatory urodynamics

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:46:05.398311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Outbound references

Pith citing papers