Disease insights from medical data using interpretable risk prediction models

被引：0

作者：

Tang, Alice ^{[1
]}

Sirota, Marina ^{[1
]}

机构：

[1] Univ Calif San Francisco, Bakar Computat Hlth Sci Inst, San Francisco, CA 94143 USA

来源：

NATURE AGING | 2024年 / 4卷 / 03期

关键词：

D O I：

10.1038/s43587-024-00585-4

中图分类号：

Q2 [细胞生物学];

学科分类号：

071009 ; 090102 ;

摘要：

Our study demonstrates how clinical data can be used to build machine-learning models to predict the risk of Alzheimer's disease (AD) onset and can be integrated with knowledge networks to gain insights into the pathophysiology of AD, with a focus on a better understanding of disease sex differences.

引用

页码：293 / 294

页数：2

共 50 条

[1] Disease insights from medical data using interpretable risk prediction models
Nature Aging, 2024, 4 : 293 - 294
[2] Interpretable and accurate prediction models for metagenomics data
Prifti, Edi
Chevaleyre, Yann
Hanczar, Blaise
Belda, Eugeni
Danchin, Antoine
Clement, Karine
Zucker, Jean-Daniel
GIGASCIENCE, 2020, 9 (03):
[3] Polyaxial Rock Failure Criteria: Insights from Explainable and Interpretable Data-Driven Models
Fathipour-Azar, Hadi
ROCK MECHANICS AND ROCK ENGINEERING, 2022, 55 (04) : 2071 - 2089
[4] Polyaxial Rock Failure Criteria: Insights from Explainable and Interpretable Data-Driven Models
Hadi Fathipour-Azar
Rock Mechanics and Rock Engineering, 2022, 55 : 2071 - 2089
[5] Research on Disease Prediction Models Based on Imbalanced Medical Data Sets
Chen X.
Liu P.-H.
Sun Y.-Z.
Shen X.
Zhang L.
Wang X.-Q.
Sun X.-P.
Cheng W.
Jisuanji Xuebao/Chinese Journal of Computers, 2019, 42 (03): : 596 - 609
[6] Intelligent diagnosis of Kawasaki disease from real-world data using interpretable machine learning models
Duan, Yifan
Wang, Ruiqi
Huang, Zhilin
Chen, Haoran
Tang, Mingkun
Zhou, Jiayin
Hu, Zhengyong
Hu, Wanfei
Chen, Zhenli
Qian, Qing
Wang, Haolin
HELLENIC JOURNAL OF CARDIOLOGY, 2025, 81 : 38 - 48
[7] Individual risk prediction using data beyond the medical clinic
Califf, Robert M.
Harrell, Frank E., Jr.
CANADIAN MEDICAL ASSOCIATION JOURNAL, 2018, 190 (32) : E947 - E948
[8] Assessing Risk Prediction Models Using Individual Participant Data From Multiple Studies
Pennells, Lisa
Kaptoge, Stephen
White, Ian R.
Thompson, Simon G.
Wood, Angela M.
AMERICAN JOURNAL OF EPIDEMIOLOGY, 2014, 179 (05) : 621 - 632
[9] EVALUATING RISK-PREDICTION MODELS USING DATA FROM ELECTRONIC HEALTH RECORDS
Wang, Le
Shaw, Pamela A.
Mathelier, Hansie M.
Kimmel, Stephen E.
French, Benjamin
ANNALS OF APPLIED STATISTICS, 2016, 10 (01): : 286 - 304
[10] Interpretable prediction of mRNA abundance from promoter sequence using contextual regression models
Wang, Song
Wang, Wei
NAR GENOMICS AND BIOINFORMATICS, 2024, 6 (02)

← 1 2 3 4 5 →