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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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Journal Article
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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Journal Article
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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Journal Article
Machine learning algorithm for early detection of end-stage renal disease
Segal, Zvi, Kalifa, Dan, Radinsky, Kira, Ehrenberg, Bar, Elad, Guy, Maor, Gal, Lewis, Maor, Tibi, Muhammad, Korn, Liat, Koren, Gideon
Published in BMC nephrology (27.11.2020)
Published in BMC nephrology (27.11.2020)
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Journal Article
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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Journal Article
Development of a Novel, Potentially Universal Machine Learning Algorithm for Prediction of Complications After Total Hip Arthroplasty
Shah, Akash A., Devana, Sai K., Lee, Changhee, Kianian, Reza, van der Schaar, Mihaela, SooHoo, Nelson F.
Published in The Journal of arthroplasty (01.05.2021)
Published in The Journal of arthroplasty (01.05.2021)
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Journal Article
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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Journal Article
Machine Learning Algorithms and Fault Detection for Improved Belief Function Based Decision Fusion in Wireless Sensor Networks
Javaid, Atia, Javaid, Nadeem, Wadud, Zahid, Saba, Tanzila, Sheta, Osama E., Saleem, Muhammad Qaiser, Alzahrani, Mohammad Eid
Published in Sensors (Basel, Switzerland) (17.03.2019)
Published in Sensors (Basel, Switzerland) (17.03.2019)
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Journal Article
A machine learning approach for the prediction of pulmonary hypertension
Leha, Andreas, Hellenkamp, Kristian, Unsöld, Bernhard, Mushemi-Blake, Sitali, Shah, Ajay M., Hasenfuß, Gerd, Seidler, Tim
Published in PloS one (25.10.2019)
Published in PloS one (25.10.2019)
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Journal Article
Machine learning-based predictive modeling of angina pectoris in an elderly community-dwelling population: Results from the PoCOsteo study
Mousavi, Shahrokh, Jalalian, Zahrasadat, Afrashteh, Sima, Farhadi, Akram, Nabipour, Iraj, Larijani, Bagher
Published in PloS one (05.08.2025)
Published in PloS one (05.08.2025)
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Journal Article
Comprehensive prediction of outcomes in patients with ST elevation myocardial infarction (STEMI) using tree-based machine learning algorithms
Razavi, Seyed Reza, Zaremba, Alexander C., Szun, Tyler, Cheung, Seth, Shah, Ashish H., Moussavi, Zahra
Published in Computers in biology and medicine (01.01.2025)
Published in Computers in biology and medicine (01.01.2025)
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Journal Article
Video-based AI for beat-to-beat assessment of cardiac function
Ouyang, David, He, Bryan, Ghorbani, Amirata, Yuan, Neal, Ebinger, Joseph, Langlotz, Curtis P., Heidenreich, Paul A., Harrington, Robert A., Liang, David H., Ashley, Euan A., Zou, James Y.
Published in Nature (London) (01.04.2020)
Published in Nature (London) (01.04.2020)
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Journal Article