Assessing the accuracy of survival machine learning and traditional statistical models for Alzheimer's disease prediction over time: a study on the ADNI cohort

The RSF model outperformed other methods, demonstrating superior potential for improving prognostic accuracy in medical diagnostics for MCI to AD progression.

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Publication Details

Journal
BMC Medical Research Methodology
Published
2025-11-05
DOI
https://doi.org/10.1186/s12874-025-02689-w
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Assessing the accuracy of survival machine learning and traditional statistical models for Alzheimer's disease prediction over time: a study on the ADNI cohort

Ghodratollah Roshanaei, Leili Tapak, Sardar Jahani
BMC Medical Research Methodology
Dementia and Cognitive Impairment Research
article

Assessing the accuracy of survival machine learning and traditional statistical models for Alzheimer's disease prediction over time: a study on the ADNI cohort

Ghodratollah Roshanaei, Leili Tapak, Sardar Jahani
article en

Abstract

The RSF model outperformed other methods, demonstrating superior potential for improving prognostic accuracy in medical diagnostics for MCI to AD progression.

BMC Medical Research MethodologyVol. 25(1)
Hamedan University of Medical Sciences (IR), Arak University of Medical Sciences (IR)
Hamadan University of Medical Sciences
Openalex Percentile: Top 61%
Dementia and Cognitive Impairment Research
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