Developing a Machine Learning Algorithm Using Routine Clinical Data for the Detection of Hard Cardiovascular Disease Events

被引：0
|
作者：
Kelly, Ian
Whitehill, Jacob R.
Goldberg, Robert
机构：
来源：
CIRCULATION | 2023年 / 148卷
关键词：
Machine Learning; Cardiovascular Risk; Prediction model; Risk Factors; Cardiovascular disease;
D O I：
10.1161/circ.148.suppl_1.14697
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
A14697
引用
收藏
页数：2
相关论文
共 50 条
  • [41] Predicting early-stage coronary artery disease using machine learning and routine clinical biomarkers improved by augmented virtual data
    Koloi, Angela
    Loukas, Vasileios S.
    Hourican, Cillian
    Sakellarios, Antonis, I
    Quax, Rick
    Mishra, Pashupati P.
    Lehtimaeki, Terho
    Raitakari, Olli T.
    Papaloukas, Costas
    Bosch, Jos A.
    Maerz, Winfried
    Fotiadis, Dimitrios, I
    EUROPEAN HEART JOURNAL - DIGITAL HEALTH, 2024, 5 (05): : 542 - 550
  • [42] Detection of Alzheimer Disease Using Machine Learning
    Bhardwaj, Sumit
    Kaushik, Tarun
    Bisht, Manthan
    Gupta, Punit
    Mundra, Shikha
    SMART SYSTEMS: INNOVATIONS IN COMPUTING (SSIC 2021), 2022, 235 : 443 - 450
  • [43] Identification of spinal tuberculosis subphenotypes using routine clinical data: a study based on unsupervised machine learning
    Yao, Yuanlin
    Wu, Shaofeng
    Liu, Chong
    Zhou, Chenxing
    Zhu, Jichong
    Chen, Tianyou
    Huang, Chengqian
    Feng, Sitan
    Zhang, Bin
    Wu, Siling
    Ma, Fengzhi
    Liu, Lu
    Zhan, Xinli
    ANNALS OF MEDICINE, 2023, 55 (02)
  • [44] Phishing Detection Using Machine Learning Algorithm.
    Tanimu, Jibrilla
    Shiaeles, Stavros
    2022 IEEE INTERNATIONAL CONFERENCE ON CYBER SECURITY AND RESILIENCE (IEEE CSR), 2022, : 317 - 322
  • [45] Machine learning for epithelial ovarian cancer platinum resistance recurrence identification using routine clinical data
    Yang, Li-Rong
    Yang, Mei
    Chen, Liu-Lin
    Shen, Yong-Lin
    He, Yuan
    Meng, Zong-Ting
    Wang, Wan-Qi
    Li, Feng
    Liu, Zhi-Jin
    Li, Lin-Hui
    Wang, Yu-Feng
    Luo, Xin-Lei
    FRONTIERS IN ONCOLOGY, 2024, 14
  • [46] Detection of Brain Abnormalities using Machine Learning Algorithm
    Bhandavi, J. N.
    Karki, Maya, V
    2018 4TH INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT), 2018,
  • [47] Routine blood biomarkers for the detection of multiple myeloma using machine learning
    Fan, Gaowei
    Cui, Ruifang
    Zhang, Rui
    Zhang, Shunli
    Guo, Ruipeng
    Zhai, Yuhua
    Yue, Yuhong
    Wang, Qingtao
    INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY, 2022, 44 (03) : 558 - 566
  • [48] Automatic Detection of Stalling Events using Machine Learning Algorithms
    Velez, Andres Fernando Celis
    Herrera, Luis Miguel Castaneda
    Herrera, Jose Luis Arciniegas
    Orozco, Hector Fabio Bermudez
    INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2024, 19 (05)
  • [49] Sensor data classification using machine learning algorithm
    Rose, Lina
    Mary, X. Anitha
    JOURNAL OF STATISTICS & MANAGEMENT SYSTEMS, 2020, 23 (02): : 363 - 371
  • [50] Detection of cardiovascular disease cases using advanced tree-based machine learning algorithms
    Asadi, Fariba
    Homayounfar, Reza
    Mehrali, Yaser
    Masci, Chiara
    Talebi, Samaneh
    Zayeri, Farid
    SCIENTIFIC REPORTS, 2024, 14 (01):
12345