Using Machine Learning Algorithms for High-Risk Patient Identification in Atypical Femoral Fractures

被引：0
|
作者：
Mattikalli, Tarun [1 ]
Madi, Rashad [2 ,3 ]
Graham, Steven [4 ]
Quintana, Julio Ojea [4 ]
Rosenblatt, Hannah [5 ]
Kneeland, Bruce J. [4 ]
Khan, Amna Nabeel [4 ]
Newman, Benjamin T. [6 ]
Taratuta, Elena [2 ]
Al Mukaddam, Mona [7 ,8 ]
Rajapakse, Chamith S. [2 ]
机构：
[1] Univ Penn, Dept Radiol & Orthopaed Surg, Perelman Sch Med, Philadelphia, PA USA
[2] Univ Penn, Dept Radiol, Perelman Sch Med, Philadelphia, PA USA
[3] Univ Penn, Dept Orthopaed Surg, Perelman Sch Med, Philadelphia, PA USA
[4] Univ Penn, Philadelphia, PA USA
[5] Perelman Sch Med, Philadelphia, PA USA
[6] Univ Virginia, Charlottesville, VA USA
[7] Univ Penn, Perelman Sch Med, Ctr Res FOP & Related Disorders, Dept Orthoped Surg, Philadelphia, PA USA
[8] Univ Penn, Perelman Sch Med, Ctr Res FOP & Related Disorders, Dept Med, Philadelphia, PA USA
来源：
JOURNAL OF BONE AND MINERAL RESEARCH | 2024年 / 39卷
关键词：
D O I：
暂无
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
SAT-389
引用
收藏
页码：164 / 164
页数：1
相关论文
共 50 条
  • [1] The Identification of Elderly People with High Fall Risk Using Machine Learning Algorithms
    Lyu, Ziyang
    Wang, Li
    Gao, Xing
    Ma, Yingnan
    HEALTHCARE, 2023, 11 (01)
  • [2] Prediction of high-risk pregnancy based on machine learning algorithms
    Xinyu Pi
    Junzhi Wang
    Liangliang Chu
    Guochun Zhang
    Wenli Zhang
    Scientific Reports, 15 (1)
  • [3] Strategic Machine Learning Optimization for Cardiovascular Disease Prediction and High-Risk Patient Identification
    Tompra, Konstantina-Vasiliki
    Papageorgiou, George
    Tjortjis, Christos
    ALGORITHMS, 2024, 17 (05)
  • [4] Identification of high-risk COVID-19 patients using machine learning
    Quiroz-Juarez, Mario A.
    Torres-Gomez, Armando
    Hoyo-Ulloa, Irma
    Leon-Montiel, Roberto de J.
    U'Ren, Alfred B.
    PLOS ONE, 2021, 16 (09):
  • [5] Machine Learning for Identification of High-Risk Clonal Haematopoiesis Using Blood Count Data
    Dunn, William G.
    Withnell, Isabella
    Gu, Muxin
    Quiros, Pedro
    Kovilakam, Sruthi Cheloor
    Marando, Ludovica
    Fabre, Margarete
    Mohorianu, Irina
    Vuckovic, Dragana
    Vassiliou, George
    BLOOD, 2023, 142
  • [6] Using Machine Learning Algorithms to Predict High-Risk Factors for Postoperative Delirium in Elderly Patients
    Liu, Yuan
    Shen, Wei
    Tian, Zhiqiang
    CLINICAL INTERVENTIONS IN AGING, 2023, 18 : 157 - 168
  • [7] Population Health Management exploiting Machine Learning Algorithms to identify High-Risk Patients
    Panicacci, Silvia
    Donati, Massimiliano
    Fanucci, Luca
    Bellini, Irene
    Profili, Francesco
    Francesconi, Paolo
    2018 31ST IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS 2018), 2018, : 298 - 303
  • [8] Early identification of high-risk patients admitted to emergency departments using vital signs and machine learning
    Liu, Qingyuan
    Zhang, Yixin
    Sun, Jian
    Wang, Kaipeng
    Wang, Yueguo
    Wang, Yulan
    Ren, Cailing
    Wang, Yan
    Zhu, Jiashan
    Zhou, Shusheng
    Zhang, Mengping
    Lai, Yinglei
    Jin, Kui
    WORLD JOURNAL OF EMERGENCY MEDICINE, 2025, 16 (02) : 113 - 120
  • [9] Early identification of high-risk patients admitted to emergency departments using vital signs and machine learning
    Qingyuan Liu
    Yixin Zhang
    Jian Sun
    Kaipeng Wang
    Yueguo Wang
    Yulan Wang
    Cailing Ren
    Yan Wang
    Jiashan Zhu
    Shusheng Zhou
    Mengping Zhang
    Yinglei Lai
    Kui Jin
    World Journal of Emergency Medicine, 2025, 16 (02) : 113 - 120
  • [10] Identification of exacerbation risk in patients with liver dysfunction using machine learning algorithms
    Peng, Junfeng
    Zhou, Mi
    Chen, Chuan
    Xie, Xiaohua
    Luo, Ching-Hsing
    PLOS ONE, 2020, 15 (10):
12345