Journal of Advances in Medical and Biomedical Research

en Assessment of Machine Learning Approaches to Predict in-Hospital Mortality in Patients Underwent Prosthetic Heart Valve Replacement Surgery Clinical Medicine Clinical Medicine مقاله پژوهشی Original Research Article Background and Objective: Machine learning and artificial intelligence are useful tools to analyze data with multiple variables. It has been shown that the prediction models obtained by Machine learning have better performance than the conventional statistical methods. This study was aimed to assess the risk factors and determine the best machine learning prediction model/s for in-hospital mortality among patients who underwent prosthetic valve replacement surgery. Materials and Methods: In this retrospective cross-sectional study, patient’s pre-operative, intra-operative and post-operative data underwent univariate analysis. Feature importance determination was carried out using algorithms including principal component analysis (PCA), support vector machine (SVM), random forest (RF) model-based, and recursive feature elimination (RFE).  Then, 13 machine learning classifiers were implemented for in-hospital prediction model. Results: The In-hospital mortality rate was 6.36%. Data from 2455 patients underwent final analysis. The machine learning results revealed that among pre-operative features, Adaptive boost (AB) and RF classifiers (AUC: 0.82±0.033; 0.78±0.028, respectively); among intra-operative features, AB and K-nearest neighbors (KNN) classifiers (AUC: 0.68±0.014); among postoperative features, AB and RF classifiers (AUC: 0.9±0.1; 0.88±0.095, respectively); and among all features, AB and LR classifiers (AUC: 0.93±0.049; 0.93±0.055, respectively) had the best performance in prediction of in-hospital mortality. Conclusion: The AB classifier was determined as the best model in prediction of in-hospital mortality in all 4 datasets. Prosthetic valve replacement, In-hospital mortality, Risk factor, Machine learning 210 220 http://journal.zums.ac.ir/browse.php?a_code=A-10-5252-4&slc_lang=en&sid=1 Maryam Shojaeifard maryam.shojaeifard@yahoo.com 5200319475328460076692 5200319475328460076692 No Echocardiography Research Center, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran Hassan Ahangar hassan.ahangar@yahoo.com 5200319475328460076693 5200319475328460076693 Yes Dept. of Cardiology, Mousavi Hospital, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran Sepehr Gohari sepehr_goharibdb@yahoo.com 5200319475328460076694 5200319475328460076694 No Student Research Center, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran Mehrdad Oveisi mehrdad.oveisi@kcl.ac.uk 5200319475328460076695 5200319475328460076695 No Comprehensive Cancer Centre, School of Cancer & Pharmaceutical Sciences, Faculty of Life Sciences & Medicine, King’s College London, London, United Kingdom Majid Maleki majid33@yahoo.com 5200319475328460076696 5200319475328460076696 No Echocardiography Research Center, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran Tara Reshadmanesh tarar202072@gmail.com 5200319475328460076697 5200319475328460076697 No Student Research Center, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran Shahram Arsang-Jang shahramarsang@gmail.com 5200319475328460076698 5200319475328460076698 No Dept. of Biostatistics, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran Mahsa Mahjani mahsamahjani@gmail.com 5200319475328460076699 5200319475328460076699 No School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran Mozhgan Pourkeshavarz m.pourkeshavarz@gmail.com 5200319475328460076700 5200319475328460076700 No Dept. of Biomedical and Health Informatics, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Science, Tehran, Iran Ghasem Hajianfar hajianfar.gh@gmail.com 5200319475328460076701 5200319475328460076701 No Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, Geneva, Switzerland Saeedeh Mazloomzadeh smazloomzadeh@zums.ac.ir 5200319475328460076702 5200319475328460076702 No Dept. of Biomedical and Health Informatics, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Science, Tehran, Iran Isaac Shiri isaac.sh92@gmail.com 5200319475328460076703 5200319475328460076703 No Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, Geneva, Switzerland Sheida Gohari sheida.gohari777@gmail.com 5200319475328460076704 5200319475328460076704 No Dept. of Systems Science and Industrial Engineering, State University of New York at Binghamton, Binghamton, New York, United States