Risk Prediction and Machine Learning A Case-Based Overview

被引：4
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
  • [1] Cybersecurity and Risk Prediction Based on Machine Learning Algorithms
    Yang, Haoliang
    Zhu, Jianan
    Li, Jiaqing
    Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [2] Machine Learning and Case-Based Reasoning for Real-Time Onboard Prediction of the Survivability of Ships
    Louvros, Panagiotis
    Stefanidis, Fotios
    Boulougouris, Evangelos
    Komianos, Alexandros
    Vassalos, Dracos
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 11 (05)
  • [3] Hybrid Approach Using Ontology-Supported Case-Based Reasoning and Machine Learning for Defect Rate Prediction
    Ji, Bongjun
    Ameri, Farhad
    Choi, Junhyuk
    Cho, Hyunbo
    ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: PRODUCTION MANAGEMENT FOR THE FACTORY OF THE FUTURE, PT I, 2019, : 291 - 298
  • [4] Case-based repeatability of machine learning classification performance on breast MRI
    Vieceli, Michael
    Van Dusen, Amy
    Drukker, Karen
    Abe, Hiroyuki
    Giger, Maryellen L.
    Whitney, Heather M.
    MEDICAL IMAGING 2020: COMPUTER-AIDED DIAGNOSIS, 2020, 11314
  • [5] Credit Risk Prediction Based on Machine Learning Methods
    Li, Yu
    14TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND EDUCATION (ICCSE 2019), 2019, : 1011 - 1013
  • [6] The role of machine learning in HIV risk prediction
    Fieggen, Joshua
    Smith, Eli
    Arora, Lovkesh
    Segal, Bradley
    FRONTIERS IN REPRODUCTIVE HEALTH, 2022, 4
  • [7] Machine learning based models for Cardiovascular risk prediction
    Rajliwall, Nitten S.
    Davey, Rachel
    Chetty, Girija
    2018 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND DATA ENGINEERING (ICMLDE 2018), 2018, : 142 - 148
  • [8] Stroke Risk Prediction with Machine Learning Techniques
    Dritsas, Elias
    Trigka, Maria
    SENSORS, 2022, 22 (13)
  • [9] Machine Learning for Colorectal Cancer Risk Prediction
    Zheng, Ling
    Eniola, Elijah
    Wang, Jiacun
    2021 INTERNATIONAL CONFERENCE ON CYBER-PHYSICAL SOCIAL INTELLIGENCE (ICCSI), 2021,
  • [10] Study on Case-based reasoning-inspired approaches to machine-learning
    Teng Zhe
    Chen Jian
    Xia Huicheng
    2015 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA AND SMART CITY (ICITBS), 2016, : 760 - 763
12345