Using machine learning methods and leveraging electronic health records for acute kidney injury detection and management

被引：0
|
作者：
Ghazi, L. [1 ]
El-Khoury, J. [2 ]
机构：
[1] Univ Alabama Birmingham, Birmingham, AL USA
[2] Yale Univ, New Haven, CT 06520 USA
来源：
CLINICA CHIMICA ACTA | 2024年 / 558卷
关键词：
D O I：
10.1016/j.cca.2024.118598
中图分类号：
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号：
1001 ;
摘要：
引用
收藏
页数：1
相关论文
共 50 条
  • [41] Individualized melanoma risk prediction using machine learning with electronic health records
    Wan, G.
    Nguyen, N.
    Yan, B.
    Khattab, S.
    Estiri, H.
    Semenov, Y.
    JOURNAL OF INVESTIGATIVE DERMATOLOGY, 2024, 144 (08) : S35 - S35
  • [42] Predicting the Risk of Inpatient Hypoglycemia With Machine Learning Using Electronic Health Records
    Ruan, Yue
    Bellot, Alexis
    Moysova, Zuzana
    Tan, Garry D.
    Lumb, Alistair
    Davies, Jim
    van der Schaar, Mihaela
    Rea, Rustam
    DIABETES CARE, 2020, 43 (07) : 1504 - 1511
  • [43] Using Electronic Health Records and Machine Learning to Predict Incident Psychiatric Hospitalization
    DeFerio, Joseph
    Banerjee, Samprit
    Alexopoulos, George
    Pathak, Jyotishman
    BIOLOGICAL PSYCHIATRY, 2020, 87 (09) : S68 - S69
  • [44] Development and validation of models for detection of postoperative infections using structured electronic health records data and machine learning
    Colborn, Kathryn L.
    Zhuang, Yaxu
    Dyas, Adam R.
    Henderson, William G.
    Madsen, Helen J.
    Bronsert, Michael R.
    Matheny, Michael E.
    Lambert-Kerzner, Anne
    Myers, Quintin W. O.
    Meguid, Robert A.
    SURGERY, 2023, 173 (02) : 464 - 471
  • [45] Machine learning models for atrial fibrillation detection in primary care using electronic health records: systematic review
    Chalati, Mhd Diaa
    Shirvankar, Chetan
    Rahimi, Samira
    ANNALS OF FAMILY MEDICINE, 2024, 22
  • [46] Machine learning in infection management using routine electronic health records: tools, techniques, and reporting of future technologies
    Luz, C. F.
    Vollmer, M.
    Decruyenaere, J.
    Nijsten, M. W.
    Glasner, C.
    Sinha, B.
    CLINICAL MICROBIOLOGY AND INFECTION, 2020, 26 (10) : 1291 - 1299
  • [47] Development of Inpatient Risk Stratification Models of Acute Kidney Injury for Use in Electronic Health Records
    Matheny, Michael E.
    Miller, Randolph A.
    Ikizler, T. Alp
    Waitman, Lemuel R.
    Denny, Joshua C.
    Schildcrout, Jonathan S.
    Dittus, Robert S.
    Peterson, Josh F.
    MEDICAL DECISION MAKING, 2010, 30 (06) : 639 - 650
  • [48] DETECTING INCIDENTS OF INJECTION FROM ELECTRONIC MEDICAL RECORDS USING MACHINE LEARNING METHODS
    Okamoto, K.
    Goka, K.
    Hirose, M.
    Yamamoto, T.
    Hiragi, S.
    Yamamoto, G.
    Sugiyama, O.
    Nambu, M.
    Kuroda, T.
    VALUE IN HEALTH, 2018, 21 : S372 - S372
  • [49] Text Classification Model in Chinese Electronic Medical Records Using Machine Learning Methods
    Zhang, Ping
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 127 : 123 - 123
  • [50] Detecting Severe Incidents from Electronic Medical Records Using Machine Learning Methods
    Okamoto, Kazuya
    Yamamoto, Takashi
    Hiragi, Shusuke
    Ohtera, Shosuke
    Sugiyama, Osamu
    Yamamoto, Goshiro
    Hirose, Masahiro
    Kuroda, Tomohiro
    DIGITAL PERSONALIZED HEALTH AND MEDICINE, 2020, 270 : 1247 - 1248
12345