Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:21:35.583605Z
Paper Citation Record · LEDGER
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives
As of 22 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2505.09969.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
25 of 25 outbound references displayed
- verified exact0
- verified fuzzy13
- unresolved12
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation eaf69499-91a3-4b9d-be90-33d6e11e51e3 · outbound
This paper cites & Singh, P.
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:21:35.916007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3217afa4-f75f-4fc1-86f3-83584c82c774 · outbound
This paper cites & Thangavelu, M.
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives & Thangavelu, M
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:21:35.903151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9ac67b34-111f-45b5-b6ad-c8bf056088f6 · outbound
This paper cites an unresolved cited work.
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:21:35.889570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ac9bbe04-b334-4f45-846f-9acdc1cdf311 · outbound
This paper cites Artificial intelligence for COVID -19: A Short Article.
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives Artificial intelligence for COVID -19: A Short Article
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:21:35.876664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2c399dd0-b288-4ecc-b182-7b467dd65f2e · outbound
This paper cites Can machine-learning improve cardiovascular risk prediction using routine clinical data? PLoS ONE 2017, 12, e0174944.
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives Can machine-learning improve cardiovascular risk prediction using routine clinical data? PLoS ONE 2017, 12, e0174944
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:21:35.862763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 681e73da-bd03-4ea1-affc-7d5946b00a4f · outbound
This paper cites Deep learning-based smart predictive evaluation for interactive multimedia-enabled smart healthcare.
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives Deep learning-based smart predictive evaluation for interactive multimedia-enabled smart healthcare
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:21:35.848073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f756c15e-ca14-4f59-9608-a192ed7b785d · outbound
This paper cites Decision Tree Algorithms for Prediction of Heart Disease.
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives Decision Tree Algorithms for Prediction of Heart Disease
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:21:35.833158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 15272cd2-ffae-4437-95b6-e32954c3053b · outbound
This paper cites A novel DBSCAN with entropy and probability for mixed data.
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives A novel DBSCAN with entropy and probability for mixed data
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:21:35.818076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 89a61250-9f79-429f-81af-813cb572c36d · outbound
This paper cites A study of the behavior of several methods for balancing machine learning training data.
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives A study of the behavior of several methods for balancing machine learning training data
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:21:35.803214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7caf1c5a-3817-4359-bfce-6af4fc8aed02 · outbound
This paper cites Heart disease prediction system using random forest.
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives Heart disease prediction system using random forest
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:21:35.786915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 498921c3-7376-4115-9fa8-5cd774169c98 · outbound
This paper cites Machine learning and end -to-end deep learning for the detection of chronic heart failure from heart sounds.
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives Machine learning and end -to-end deep learning for the detection of chronic heart failure from heart sounds
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:21:35.771550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation adff6975-beae-4c3e-b4d3-24d59ddd8c9c · outbound
This paper cites A machine learning approach for chronic heart failure diagnosis.
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives A machine learning approach for chronic heart failure diagnosis
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:21:35.756084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 08208a3a-78c0-44ec-af1d-a1d03159d71b · outbound
This paper cites Chronic heart failure detection from heart sounds using a stack of machine -learning classifiers.
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives Chronic heart failure detection from heart sounds using a stack of machine -learning classifiers
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:21:35.740372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4c7fed86-591c-49bb-842f-a507b6b4ecd7 · outbound
This paper cites Predicting the likelihood of heart failure with a multi level risk assessment using decision tree.
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives Predicting the likelihood of heart failure with a multi level risk assessment using decision tree
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:21:35.724805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5cca411c-ded3-4f36-a504-bd837d1f67ea · outbound
This paper cites an unresolved cited work.
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives Unresolved cited work
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:21:35.541762Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d7b629d-841b-4431-a556-863a78974e59 · outbound
This paper cites A., Negaresh, M., Abdollahi, J., Mohammadi, M., Ghobadi, H., Mohammadzadeh, B., & Amani, F.
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives A., Negaresh, M., Abdollahi, J., Mohammadi, M., Ghobadi, H., Mohammadzadeh, B., & Amani, F
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:21:35.545979Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56b52373-062c-4bd9-a104-4029ca62218a · outbound
This paper cites (2024, February).
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives (2024, February)
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:21:35.550018Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1d2e2a1-bd45-4d90-96a8-7d22c647a5ab · outbound
This paper cites an unresolved cited work.
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives Unresolved cited work
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:21:35.554234Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eff7e81f-a116-4b2b-9c39-7cce170c2cc0 · outbound
This paper cites (2024, February).
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives (2024, February)
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:21:35.558355Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7da1676-d5e2-4da5-9322-93443ab912fc · outbound
This paper cites (2024, February).
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives (2024, February)
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:21:35.562214Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee4ce3d8-3d12-4b49-9855-ca667077a0ff · outbound
This paper cites I., & Naji, H.
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives I., & Naji, H
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:21:35.566597Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b78a5f00-3f7a-4b0a-977a-2abc721fec63 · outbound
This paper cites an unresolved cited work.
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives Unresolved cited work
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:21:35.570722Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a39589b-10ef-4e8d-8364-4f34b4d4c30e · outbound
This paper cites Optimizing RPL Routing Using Tabu Search to Improve Link Stability and Energy Consumption in IoT Networks.
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives Optimizing RPL Routing Using Tabu Search to Improve Link Stability and Energy Consumption in IoT Networks
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:21:35.574811Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9c03bde-8c8c-48e6-991e-ed731f2fa3c0 · outbound
This paper cites an unresolved cited work.
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives Unresolved cited work
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:21:35.579673Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 983b6616-fad5-4346-9844-3347cf04a3c0 · outbound
This paper cites an unresolved cited work.
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives Unresolved cited work
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:21:35.583605Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.