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    Machine Learning Algorithms Identify Pathogen-Specific Biomarkers of Clinical and Metabolomic Characteristics in Septic Patients with Bacterial Infections
                                      
                                            Liang, Huiying,                              Cai, Yi,                              Zheng, Jianbin,                              Wu, Zhiyuan,                              Wu, Xiaohui,                              Liu, Guangjian,                              Zhu, Changxi,                              Lin, Fangqin,                              Zheng, Lingling,                              Xia, Huimin                              
Published in BioMed research international (2020)
                   
      
      
                                                  Published in BioMed research international (2020)
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          Machine learning algorithms’ accuracy in predicting kidney disease progression: a systematic review and meta-analysis
                                      
                                            Lei, Nuo,                              Zhang, Xianlong,                              Wei, Mengting,                              Lao, Beini,                              Xu, Xueyi,                              Zhang, Min,                              Chen, Huifen,                              Xu, Yanmin,                              Xia, Bingqing,                              Zhang, Dingjun,                              Dong, Chendi,                              Fu, Lizhe,                              Tang, Fang,                              Wu, Yifan                              
Published in BMC medical informatics and decision making (01.08.2022)
                   
      
      
                                                  Published in BMC medical informatics and decision making (01.08.2022)
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          A Comprehensive Review on Heart Disease Risk Prediction using Machine Learning and Deep Learning Algorithms
                                      
                                            Karna, Vishnu Vardhana Reddy,                              Karna, Viswavardhan Reddy,                              Janamala, Varaprasad,                              Devana, V. N. Koteswara Rao,                              Ch, V. Ravi Sankar,                              Tummala, Aravinda Babu                              
Published in Archives of computational methods in engineering (01.04.2025)
                   
      
      
                                                  Published in Archives of computational methods in engineering (01.04.2025)
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          Score and Correlation Coefficient-Based Feature Selection for Predicting Heart Failure Diagnosis by Using Machine Learning Algorithms
                                      
                                            Senan, Ebrahim Mohammed,                              Abunadi, Ibrahim,                              Jadhav, Mukti E.,                              Fati, Suliman Mohamed                              
Published in Computational and mathematical methods in medicine (20.12.2021)
                   
      
      
                                                  Published in Computational and mathematical methods in medicine (20.12.2021)
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          Machine-Learning Algorithms to Automate Morphological and Functional Assessments in 2D Echocardiography
                                      
                                            Narula, Sukrit,                              Shameer, Khader,                              Salem Omar, Alaa Mabrouk,                              Dudley, Joel T.,                              Sengupta, Partho P.                              
Published in Journal of the American College of Cardiology (29.11.2016)
                   
      
      
                                                  Published in Journal of the American College of Cardiology (29.11.2016)
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          Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals
                                      
                                            Burdick, Hoyt,                              Pino, Eduardo,                              Gabel-Comeau, Denise,                              Gu, Carol,                              Roberts, Jonathan,                              Le, Sidney,                              Slote, Joseph,                              Saber, Nicholas,                              Pellegrini, Emily,                              Green-Saxena, Abigail,                              Hoffman, Jana,                              Das, Ritankar                              
Published in BMC medical informatics and decision making (27.10.2020)
                   
      
      
                                                  Published in BMC medical informatics and decision making (27.10.2020)
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          Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework
                                      
                                            van der Vegt, Anton H,                              Scott, Ian A,                              Dermawan, Krishna,                              Schnetler, Rudolf J,                              Kalke, Vikrant R,                              Lane, Paul J                              
Published in Journal of the American Medical Informatics Association : JAMIA (20.06.2023)
                   
      
      
                                                  Published in Journal of the American Medical Informatics Association : JAMIA (20.06.2023)
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          Usability of machine learning algorithms based on electronic health records for the prediction of acute kidney injury and transition to acute kidney disease: A proof of concept study
                                      
                                            Ruinelli, Lorenzo,                              Cippà, Pietro,                              Sieber, Chantal,                              Di Serio, Clelia,                              Ferrari, Paolo,                              Bellasi, Antonio                              
Published in PloS one (01.07.2025)
                   
      
      
                                                  Published in PloS one (01.07.2025)
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          Big data dimensionality reduction-based supervised machine learning algorithms for NASH diagnosis
                                      
                                            Tutsoy, Onder,                              Ozturk, Huseyin Ali,                              Sumbul, Hilmi Erdem                              
Published in BMC bioinformatics (21.10.2025)
                   
      
      
                                                  Published in BMC bioinformatics (21.10.2025)
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          Identification of exacerbation risk in patients with liver dysfunction using machine learning algorithms
                                      
                                            Peng, Junfeng,                              Zhou, Mi,                              Chen, Chuan,                              Xie, Xiaohua,                              Luo, Ching-Hsing                              
Published in PloS one (09.10.2020)
                   
      
      
                                                  Published in PloS one (09.10.2020)
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