Cardiovascular disease incidence prediction by machine learning and statistical techniques: a 16-year cohort study from eastern Mediterranean region

被引：0
|
作者：
Kamran Mehrabani-Zeinabad
Awat Feizi
Masoumeh Sadeghi
Hamidreza Roohafza
Mohammad Talaei
Nizal Sarrafzadegan
机构：
[1] Cardiovascular Research Center,Biostatistics and Epidemiology Department, School of Health
[2] Cardiovascular Research Institute,Cardiac Rehabilitation Research Center
[3] Isfahan University of Medical Sciences,School of Population and Public Health, Faculty of Medicine
[4] Isfahan University of Medical Sciences,undefined
[5] Cardiovascular Research Institute,undefined
[6] Isfahan University of Medical Sciences,undefined
[7] Wolfson Institute of Population Health,undefined
[8] Barts and The London School of Medicine and Dentistry,undefined
[9] Queen Mary University of London,undefined
[10] University of British Columbia,undefined
来源：
BMC Medical Informatics and Decision Making | / 23卷
关键词：
Cardiovascular; Machine learning; Statistical models; Cohort study; Eastern Mediterranean region; Feature selection; Missing values;
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] Cardiovascular disease incidence prediction by machine learning and statistical techniques: a 16-year cohort study from eastern Mediterranean region
    Mehrabani-Zeinabad, Kamran
    Feizi, Awat
    Sadeghi, Masoumeh
    Roohafza, Hamidreza
    Talaei, Mohammad
    Sarrafzadegan, Nizal
    BMC MEDICAL INFORMATICS AND DECISION MAKING, 2023, 23 (01)
  • [2] Prediction of Cardiovascular Disease by Feature Selection and Machine Learning Techniques
    Ranade, Aditya
    Pise, Nitin
    ARTIFICIAL INTELLIGENCE: THEORY AND APPLICATIONS, VOL 2, AITA 2023, 2024, 844 : 457 - 472
  • [3] Cardiovascular Disease Risk Prediction with Supervised Machine Learning Techniques
    Dritsas, Elias
    Alexiou, Sotiris
    Moustakas, Konstantinos
    ICT4AWE: PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES FOR AGEING WELL AND E-HEALTH, 2022, : 315 - 321
  • [4] Popularity prediction of movies: from statistical modeling to machine learning techniques
    Syed Muhammad Raza Abidi
    Yonglin Xu
    Jianyue Ni
    Xiangmeng Wang
    Wu Zhang
    Multimedia Tools and Applications, 2020, 79 : 35583 - 35617
  • [5] Popularity prediction of movies: from statistical modeling to machine learning techniques
    Abidi, Syed Muhammad Raza
    Xu, Yonglin
    Ni, Jianyue
    Wang, Xiangmeng
    Zhang, Wu
    MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 79 (47-48) : 35583 - 35617
  • [6] A Cardiovascular Disease Prediction Model Based on Routine Physical Examination Indicators Using Machine Learning Methods: A Cohort Study
    Qian, Xin
    Li, Yu
    Zhang, Xianghui
    Guo, Heng
    He, Jia
    Wang, Xinping
    Yan, Yizhong
    Ma, Jiaolong
    Ma, Rulin
    Guo, Shuxia
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2022, 9
  • [7] Cardiovascular Disease Prediction from Electrocardiogram by Using Machine Learning
    Nayan, Nazrul Anuar
    Ab Hamid, Hafifah
    Suboh, Mohd Zubir
    Jaafar, Rosmina
    Abdullah, Noraidatulakma
    Yusof, Nurul Ain Mhd
    Hamid, Mariatul Akma
    Zubiri, Nur Farawahida
    Arifin, Azwa Shawani Kamalul
    Abd Daud, Syakila Mohd
    Kamaruddin, Mohd Arman
    Jamal, A. Rahman A.
    INTERNATIONAL JOURNAL OF ONLINE AND BIOMEDICAL ENGINEERING, 2020, 16 (07) : 34 - 48
  • [8] OPPORTUNITIES AND CHALLENGES OF MACHINE LEARNING AND DEEP LEARNING TECHNIQUES IN CARDIOVASCULAR DISEASE PREDICTION: A SYSTEMATIC REVIEW
    Omkari, D. Yaso
    Shinde, Snehal B. B.
    JOURNAL OF BIOLOGICAL SYSTEMS, 2023, 31 (02) : 309 - 344
  • [9] Cardiovascular risk prediction: from classical statistical methods to machine learning approaches
    Sperti, Michela
    Malavolta, Marta
    Polacco, Federica Staunovo
    Dellavalle, Annalisa
    Ruggieri, Rossella
    Bergia, Sara
    Fazio, Alice
    Santoro, Carmine
    Deriu, Marco A.
    MINERVA CARDIOLOGY AND ANGIOLOGY, 2022, 70 (01) : 102 - 122
  • [10] Enhanced Cardiovascular Disease Prediction Modelling using Machine Learning Techniques: A Focus on CardioVitalnet
    Ejiyi, Chukwuebuka Joseph
    Qin, Zhen
    Nneji, Grace Ugochi
    Monday, Happy Nkanta
    Agbesi, Victor K.
    Ejiyi, Makuachukwu Bennedith
    Ejiyi, Thomas Ugochukwu
    Bamisile, Olusola O.
    NETWORK-COMPUTATION IN NEURAL SYSTEMS, 2024,
12345