Risk Prediction and Machine Learning A Case-Based Overview

被引:5
作者
Balczewski, Emily A. A. [1 ,2 ]
Cao, Jie [2 ]
Singh, Karandeep [3 ,4 ,5 ,6 ]
机构
[1] Univ Michigan, Med Sch, Med Scientist Training Program, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Med Sch, Dept Computat Med & Bioinformat, Ann Arbor, MI 48109 USA
[3] Univ Michigan, Med Sch, Dept Learning Hlth Sci, Ann Arbor, MI 48109 USA
[4] Univ Michigan, Med Sch, Dept Internal Med, Ann Arbor, MI 48109 USA
[5] Univ Michigan, Sch Informat, Ann Arbor, MI 48109 USA
[6] Univ Michigan, Dept Learning Hlth Sci, 1161H NIB,300 N Ingalls St, Ann Arbor, MI 48109 USA
来源
CLINICAL JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY | 2023年 / 18卷 / 04期
关键词
artificial intelligence and machine learning in nephrology series; risk prediction; machine learning;
D O I
10.2215/CJN.0000000000000083
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
引用
收藏
页码:524 / 526
页数:3
相关论文
共 50 条
[21]   Pareto-based multiobjective machine learning: An overview and case studies [J].
Jin, Yaochu ;
Sendhoff, Bernhard .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2008, 38 (03) :397-415
[22]   Integrating machine learning and deep learning for enhanced supplier risk prediction [J].
Rezki, Nisrine ;
Mansouri, Mohamed .
ACTA LOGISTICA, 2024, 11 (03) :387-396
[23]   Machine learning-based prediction of diabetes risk by combining exposome and electrocardiographic predictors [J].
Shahbazi, Zeinab ;
Camacho, Marina ;
Ruiz, Esmeralda ;
Atehortua, Angelica ;
Lekadir, Karim .
18TH INTERNATIONAL SYMPOSIUM ON MEDICAL INFORMATION PROCESSING AND ANALYSIS, 2023, 12567
[24]   MACHINE LEARNING-BASED RISK PREDICTION AND SAFETY MANAGEMENT FOR OUTDOOR SPORTS ACTIVITIES [J].
Lu, Yan .
SCALABLE COMPUTING-PRACTICE AND EXPERIENCE, 2024, 25 (05) :3934-3941
[25]   Machine Learning in the detection and prediction of livestock diseases: an overview [J].
Vieto-Vega, Marco ;
Moreno-Gonzalez, Yaliska .
MEMORIA INVESTIGACIONES EN INGENIERIA, 2024, (27) :46-59
[26]   Causative factors and risk prediction model of hydrogen leakage accidents: Machine learning based on case evidence [J].
Lu, Ying ;
Zhang, Xibei ;
Wang, Jingwen ;
Zhang, Xiankai .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2024, 63 :294-307
[27]   Machine learning for mortality risk prediction with changing patient demographics [J].
Wainwright, Richard ;
Shenfield, Alex .
2023 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, CIBCB, 2023, :116-122
[28]   Cardiovascular Disease Risk Prediction with Supervised Machine Learning Techniques [J].
Dritsas, Elias ;
Alexiou, Sotiris ;
Moustakas, Konstantinos .
ICT4AWE: PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES FOR AGEING WELL AND E-HEALTH, 2022, :315-321
[29]   Early Stage Diabetes Risk Prediction via Machine Learning [J].
Abu Al-Haija, Qasem ;
Smadi, Mahmoud ;
Al-Bataineh, Osama M. .
PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND PATTERN RECOGNITION (SOCPAR 2021), 2022, 417 :451-461
[30]   Comparative Analysis of Machine Learning Algorithms for CKD Risk Prediction [J].
Yang, Weilin ;
Ahmed, Nasim ;
Barczak, Andre L. C. .
IEEE ACCESS, 2024, 12 :171205-171220