Predicting stroke and mortality in mitral stenosis with atrial flutter: a machine learning approach

被引:0
|
作者
Malik, Jahanzeb [1 ]
Rauf, Amer [2 ]
机构
[1] Cardiovasc Analyt Grp, Rawalpindi, Pakistan
[2] Armed Forces Inst Cardiol, Rawalpindi, Pakistan
关键词
mitral valve disease; atrial flutter; valvular heart disease;
D O I
10.1136/heartjnl-2023-BCS.119
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
119
引用
收藏
页码:A135 / A136
页数:2
相关论文
共 50 条
  • [41] Obesity Paradox in Severe Rheumatic Mitral Stenosis: A Prospective Analysis Using a Machine Learning-Based Approach
    Pantaleao, Alexandre Negrao
    Mutarelli, Antonio
    Dardis, Thiago Petrilli Maffei
    Goudot, Guillaume
    Faccioli, Renata Matheus
    de Medeiros Neto, Mauri Brandao
    Sanadgol, Ghazal
    CIRCULATION, 2023, 148
  • [42] Predicting the Risk of Ischemic Stroke in Patients Treated with Novel Oral Anticoagulants: A Machine Learning Approach
    Kostev, Karel
    Wu, Tong
    Wang, Yue
    Chaudhuri, Kal
    Reeve, Russel
    Tanislav, Christian
    NEUROEPIDEMIOLOGY, 2021, 55 (05) : 387 - 392
  • [43] PREDICTING MORTALITY IN PATIENTS WITH CORONARY ARTERY DISEASE REFERRED TO CARDIAC REHABILITATION: A MACHINE LEARNING APPROACH
    De Souza E Silva, Christina G.
    de Souza e Silva, Edmundo
    Arena, Ross
    Myers, Jonathan
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2021, 77 (18) : 1527 - 1527
  • [44] Machine Learning Approach Using Routine Immediate Postoperative Laboratory Values for Predicting Postoperative Mortality
    Cho, Jaehyeong
    Park, Jimyung
    Jeong, Eugene
    Shin, Jihye
    Ahn, Sangjeong
    Park, Min Geun
    Park, Rae Woong
    Park, Yongkeun
    JOURNAL OF PERSONALIZED MEDICINE, 2021, 11 (12):
  • [45] Predicting In-Hospital Mortality Among Patients Admitted With Heart Failure: A Machine Learning Approach
    He, Rosemary
    Jawadi, Zina
    Srivastava, Pratyaksh
    Khalil, Suzan
    Eskin, Eleazar
    Chiang, Jeffrey
    Nsair, Ali
    CIRCULATION, 2022, 146
  • [46] A Machine Learning Approach for Predicting Nicotine Dependence
    Kharabsheh, Mohammad
    Meqdadi, Omar
    Alabed, Mohammad
    Veeranki, Sreenivas
    Abbadi, Ahmad
    Alzyoud, Sukaina
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2019, 10 (03) : 179 - 184
  • [47] Machine Learning Approach for Predicting Bumps on Road
    Ghadge, Manjusha
    Pandey, Dheeraj
    Kalbande, Dhananjay
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON APPLIED AND THEORETICAL COMPUTING AND COMMUNICATION TECHNOLOGY (ICATCCT), 2015, : 481 - 485
  • [48] Predicting chattering alarms: A machine Learning approach
    Tamascelli, Nicola
    Paltrinieri, Nicola
    Cozzani, Valerio
    COMPUTERS & CHEMICAL ENGINEERING, 2020, 143
  • [49] A Machine Learning Approach to Predicting MPN Patients
    Greenfield, Graeme
    Blayney, Jaine
    McMullin, Mary Frances
    Mills, Ken
    BRITISH JOURNAL OF HAEMATOLOGY, 2021, 193 : 61 - 61
  • [50] A Machine Learning Approach to Predicting Diabetes Complications
    Jian, Yazan
    Pasquier, Michel
    Sagahyroon, Assim
    Aloul, Fadi
    HEALTHCARE, 2021, 9 (12)