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Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 100 of 159 outbound references and 1 inbound Pith citation observation for arXiv:2412.10288.
A citation records a reference. It does not transfer a finding from one paper to another.
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Source: paper_references, paper_reference_links, observed 2026-08-11T16:15:15.934984Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:35:02.263404Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T23:35:07.504993Z
100 of 159 outbound references displayed
External citation measurements
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance Clinical prediction models: diagnosis versus prognosis
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance Risk factors for a permanent stoma after resection of left-sided obstructive colon cancer - A prediction model
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance Deep learning of electrocardiograms in sinus rhythm from US veterans to predict atrial fibrillation
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance The measurement of performance in probabilistic diagnosis
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance The measurement of performance in probabilistic diagnosis
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance The measurement of performance in probabilistic diagnosis
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance An experimental comparison of performance measures for classification
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance Assessing the performance of prediction models: a framework for traditional and novel measures
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance Assessing the performance of classification methods
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance A unified view of performance metrics: translating threshold choice of into expected classification loss
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance Evaluation of Sepsis Prediction Models before Onset of Treatment
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance Perspectives on validation of clinical predictive algorithms
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance Comparison of the ADNEX and ROMA risk prediction models for the diagnosis of ovarian cancer: a multicentre external validation in patients who underwent surgery
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance External correspondence: Decompositions of the mean probability score
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance Therapeutic decision making: a cost-benefit analysis
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance The foundations of cost-sensitive learning
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance Decision Curve Analysis: A Novel Method for Evaluating Prediction Models
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance An improved measure for comparing diagnostic tests
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance ESGO/ISUOG/IOTA/ESGE consensus statement on preoperative diagnosis of ovarian tumors
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance A simple, step-by-step guide to interpreting decision curve analysis
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance A simulation study of preditive ability measures in a survival model I: explained variation measures
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance Loss Functions for Binary Class Probability Estimation and Classification: Structure and Applications
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance Assessing diagnostic tests by a strictly proper scoring rule
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
Reference 93
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance A Review of the F-Measure: Its History, Properties, Criticism, and Alternatives
Reference 94
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance Assessing the accuracy of prediction algorithms for classification: an overview
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation
Reference 96
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance Decision-making in health and medicine: integrating evidence and Values
Reference 97
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests
Reference 98
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance Assessing the clinical impact of risk models for opting out of treatment
Reference 99
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Performance evaluation of predictive AI models to support medical decisions: Overview and guidance Calibration of risk prediction models: impact on decision-analytic performance
Reference 100
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Critical Appraisal of Fairness Metrics in Clinical Predictive AI Performance evaluation of predictive AI models to support medical decisions: Overview and guidance
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