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Machine learning algorithms’ accuracy in predicting kidney disease progression: a systematic review and meta-analysis

by 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)

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The SMART Framework: Selection of Machine Learning Algorithms With ReplicaTions-A Case Study on the Microvascular Complications of Diabetes

by Swan, Breanna P., Mayorga, Maria E., Ivy, Julie S.
Published in IEEE journal of biomedical and health informatics (01.02.2022)

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A novel KFCM based fault diagnosis method for unknown faults in satellite reaction wheels

by Hu, Di, Sarosh, Ali, Dong, Yun-Feng
Published in ISA transactions (01.03.2012)

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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

by Ruinelli, Lorenzo, Cippà, Pietro, Sieber, Chantal, Di Serio, Clelia, Ferrari, Paolo, Bellasi, Antonio
Published in PloS one (01.07.2025)

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Exploring machine learning algorithms in sickle cell disease patient data: A systematic review

by Machado, Tiago Fernandes, Neto, Francisco das Chagas Barros, Gonçalves, Marilda de Souza, Barbosa, Cynara Gomes, Barreto, Marcos Ennes
Published in PloS one (11.11.2024)

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A Model for Predicting Cervical Cancer Using Machine Learning Algorithms

by Al Mudawi, Naif, Alazeb, Abdulwahab
Published in Sensors (Basel, Switzerland) (29.05.2022)

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A machine learning approach for the prediction of pulmonary hypertension

by Leha, Andreas, Hellenkamp, Kristian, Unsöld, Bernhard, Mushemi-Blake, Sitali, Shah, Ajay M., Hasenfuß, Gerd, Seidler, Tim
Published in PloS one (25.10.2019)

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Development of a Novel, Potentially Universal Machine Learning Algorithm for Prediction of Complications After Total Hip Arthroplasty

by 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)

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Prediction of acute kidney injury risk after cardiac surgery: using a hybrid machine learning algorithm

by Petrosyan, Yelena, Mesana, Thierry G., Sun, Louise Y.
Published in BMC medical informatics and decision making (18.05.2022)

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The experimental application of popular machine learning algorithms on predictive maintenance and the design of IIoT based condition monitoring system

by Cakir, Mustafa, Guvenc, Mehmet Ali, Mistikoglu, Selcuk
Published in Computers & industrial engineering (01.01.2021)

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Intelligent Decision Support for Identifying Chronic Kidney Disease Stages: Machine Learning Algorithms

by Shanmugarajeshwari, V, Ilayaraja, M
Published in International journal of intelligent information technologies (01.01.2024)

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Prediction of stunting and its socioeconomic determinants among adolescent girls in Ethiopia using machine learning algorithms

by Zemariam, Alemu Birara, Abate, Biruk Beletew, Alamaw, Addis Wondmagegn, Lake, Eyob shitie, Yilak, Gizachew, Ayele, Mulat, Tilahun, Befkad Derese, Ngusie, Habtamu Setegn
Published in PloS one (24.01.2025)

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A conceptual framework for machine learning algorithm selection for predictive maintenance

by Arena, Simone, Florian, Eleonora, Sgarbossa, Fabio, Sølvsberg, Endre, Zennaro, Ilenia
Published in Engineering applications of artificial intelligence (01.07.2024)

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Using Artificial Intelligence Resources in Dialysis and Kidney Transplant Patients: A Literature Review

by Covic, Adrian, Lupu, Paula Madalina, Popa, Iolanda Valentina, Jugrin, Daniel, Iftene, Adrian, Burlacu, Alexandru, Vlad, Cristiana
Published in BioMed research international (2020)

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Development and comparison of machine learning-based models for predicting heart failure after acute myocardial infarction

by Li, Xuewen, Shang, Chengming, Xu, Changyan, Wang, Yiting, Xu, Jiancheng, Zhou, Qi
Published in BMC medical informatics and decision making (24.08.2023)

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A comparative study on ML algorithms and ANN on fault diagnosis of a two-stage helical gearbox

by Narendiranath Babu, T., Kothari, Ayush Jain, Rama Prabha, D., Mokashe, Rohan, Kagita, Krish Babu, Raj kumar, E.
Published in Journal of intelligent & fuzzy systems (18.04.2024)

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Optimised decision-making model for vehicle health monitoring system leveraging deep learning algorithm

by Hossain, Md Naeem, Rahman, Md Mustafizur, Tusher, Ekramul Haque, Ramasamy, Devarajan, Rahim, Md. Abdur
Published in Advanced engineering informatics (01.01.2026)

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Machine learning prediction in cardiovascular diseases: a meta-analysis

by Krittanawong, Chayakrit, Virk, Hafeez Ul Hassan, Bangalore, Sripal, Wang, Zhen, Johnson, Kipp W., Pinotti, Rachel, Zhang, HongJu, Kaplin, Scott, Narasimhan, Bharat, Kitai, Takeshi, Baber, Usman, Halperin, Jonathan L., Tang, W. H. Wilson
Published in Scientific reports (29.09.2020)

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Effectiveness of machine learning models in diagnosis of heart disease: a comparative study

by Alsabhan, Waleed, Alfadhly, Abdullah
Published in Scientific reports (08.07.2025)

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A soft voting ensemble classifier for early prediction and diagnosis of occurrences of major adverse cardiovascular events for STEMI and NSTEMI during 2-year follow-up in patients with acute coronary syndrome

by Sherazi, Syed Waseem Abbas, Bae, Jang-Whan, Lee, Jong Yun
Published in PloS one (11.06.2021)

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