On the interpretability of machine learning-based model for predicting hypertension

被引：0
|
作者：
Radwa Elshawi
Mouaz H. Al-Mallah
Sherif Sakr
机构：
[1] Institute of Computer Science,Data Systems Group
[2] University of Tartu,undefined
[3] Houston Methodist Center,undefined
来源：
BMC Medical Informatics and Decision Making | / 19卷
关键词：
Machine learning; Interpretability; Hypertension;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] On the interpretability of machine learning-based model for predicting hypertension
    Elshawi, Radwa
    Al-Mallah, Mouaz H.
    Sakr, Sherif
    [J]. BMC MEDICAL INFORMATICS AND DECISION MAKING, 2019, 19 (1)
  • [2] Interpretability of machine learning-based prediction models in healthcare
    Stiglic, Gregor
    Kocbek, Primoz
    Fijacko, Nino
    Zitnik, Marinka
    Verbert, Katrien
    Cilar, Leona
    [J]. WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2020, 10 (05)
  • [3] A Machine Learning-Based Model for Predicting the Risk of Cardiovascular Disease
    Hsiao, Chiu-Han
    Yu, Po-Chun
    Hsieh, Chia-Ying
    Zhong, Bing-Zi
    Tsai, Yu-Ling
    Cheng, Hao-min
    Chang, Wei-Lun
    Lin, Frank Yeong-Sung
    Huang, Yennun
    [J]. ADVANCED INFORMATION NETWORKING AND APPLICATIONS, AINA-2022, VOL 1, 2022, 449 : 364 - 374
  • [4] MACHINE LEARNING-BASED MODEL FOR PREDICTING CONCRETE COMPRESSIVE STRENGTH
    Tu Trung Nguyen
    Long Tran Ngoc
    Hoang Hiep Vu
    Tung Pham Thanh
    [J]. INTERNATIONAL JOURNAL OF GEOMATE, 2021, 20 (77): : 197 - 204
  • [5] A Novel Machine Learning-Based Systolic Blood Pressure Predicting Model
    Zheng, Jiao
    Yu, Zhengyu
    [J]. JOURNAL OF NANOMATERIALS, 2021, 2021
  • [6] A machine learning-based nomogram model for predicting the recurrence of cystitis glandularis
    Liu, Xuhao
    Wang, Yuhang
    Wang, Yinzhao
    Dao, Pinghong
    Zhou, Tailai
    Zhu, Wenhao
    Huang, Chuyang
    Li, Yong
    Yan, Yuzhong
    Chen, Minfeng
    [J]. THERAPEUTIC ADVANCES IN UROLOGY, 2024, 16
  • [7] Interpretability of a Deep Learning-Based Prediction Model for Mandibular Osteoradionecrosis
    Humbert-Vidan, L.
    Patel, V.
    King, A. P.
    GuerreroUrbano, T.
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2023, 117 (02): : E468 - E469
  • [8] Development of a machine learning-based sketch planning model for predicting mobile emissions
    Ko, Sanghyeon
    Son, Hojun Daniel
    Park, Jinchul
    Lee, Dongwoo
    [J]. TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES, 2021, 10
  • [9] A machine learning-based radiomic model for predicting urinary infection stone reply
    Zheng, Junjiong
    Yu, Hao
    Wu, Zhuo
    Zou, Xiaoguang
    Lin, Tianxin
    [J]. KIDNEY INTERNATIONAL, 2021, 100 (05) : 1142 - 1143
  • [10] Development of a machine learning-based model for predicting individual responses to antihypertensive treatments
    Yi, Jiayi
    Wang, Lili
    Song, Jiali
    Liu, Yanchen
    Liu, Jiamin
    Zhang, Haibo
    Lu, Jiapeng
    Zheng, Xin
    [J]. NUTRITION METABOLISM AND CARDIOVASCULAR DISEASES, 2024, 34 (07) : 1660 - 1669
12345