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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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Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms

by Ogwel, Billy, Mzazi, Vincent H., Awuor, Alex O., Okonji, Caleb, Anyango, Raphael O., Oreso, Caren, Ochieng, John B., Munga, Stephen, Nasrin, Dilruba, Tickell, Kirkby D., Pavlinac, Patricia B., Kotloff, Karen L., Omore, Richard
Published in BMC medical informatics and decision making (15.01.2025)

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Adoption of combined detection technology of tumor markers via deep learning algorithm in diagnosis and prognosis of gallbladder carcinoma

by Chang, Yigang, Wu, Qian, Chi, Limin, Huo, Huaying, Li, Qiang
Published in The Journal of supercomputing (01.02.2022)

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Machine Learning Algorithms to Predict Breast Cancer Recurrence Using Structured and Unstructured Sources from Electronic Health Records

by González-Castro, Lorena, Chávez, Marcela, Duflot, Patrick, Bleret, Valérie, Martin, Alistair G., Zobel, Marc, Nateqi, Jama, Lin, Simon, Pazos-Arias, José J., Del Fiol, Guilherme, López-Nores, Martín
Published in Cancers (13.05.2023)

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Battery Thermal Runaway Fault Prognosis in Electric Vehicles Based on Abnormal Heat Generation and Deep Learning Algorithms

by Li, Da, Liu, Peng, Zhang, Zhaosheng, Zhang, Lei, Deng, Junjun, Wang, Zhenpo, Dorrell, David G., Li, Weihan, Sauer, Dirk Uwe
Published in IEEE transactions on power electronics (01.07.2022)

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Explainable machine learning algorithm to predict cardiovascular event in patients undergoing peritoneal dialysis

by Yan, Qiqi, Liu, Guiling, Wang, Ruifeng, Li, Dandan, Chen, Xiaoli, Cong, Jingjing, Wang, Deguang
Published in BMC medical informatics and decision making (22.04.2025)

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Machine learning-based prediction model for late recurrence after surgery in patients with renal cell carcinoma

by Kim, Hyung Min, Byun, Seok-Soo, Kim, Jung Kwon, Jeong, Chang Wook, Kwak, Cheol, Hwang, Eu Chang, Kang, Seok Ho, Chung, Jinsoo, Kim, Yong-June, Ha, Yun-Sok, Hong, Sung-Hoo
Published in BMC medical informatics and decision making (13.09.2022)

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Autism spectrum disorder diagnosis based on deep unrolling-based spatial constraint representation

by Lei, Dajiang, Zhang, Tao, Wu, Yue, Li, Weisheng, Li, Xinwei
Published in Medical & biological engineering & computing (01.11.2023)

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Hybrid Whale and Gray Wolf Deep Learning Optimization Algorithm for Prediction of Alzheimer’s Disease

by Dhakhinamoorthy, Chitradevi, Mani, Sathish Kumar, Mathivanan, Sandeep Kumar, Mohan, Senthilkumar, Jayagopal, Prabhu, Mallik, Saurav, Qin, Hong
Published in Mathematics (Basel) (01.02.2023)

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LOTUS: A single- and multitask machine learning algorithm for the prediction of cancer driver genes

by Collier, Olivier, Stoven, Véronique, Vert, Jean-Philippe
Published in PLoS computational biology (30.09.2019)

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A novel learning algorithm to predict individual survival after liver transplantation for primary sclerosing cholangitis

by Andres, Axel, Montano-Loza, Aldo, Greiner, Russell, Uhlich, Max, Jin, Ping, Hoehn, Bret, Bigam, David, Shapiro, James Andrew Mark, Kneteman, Norman Mark
Published in PloS one (15.03.2018)

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A framework for validating AI in precision medicine: considerations from the European ITFoC consortium

by Tsopra, Rosy, Fernandez, Xose, Luchinat, Claudio, Alberghina, Lilia, Lehrach, Hans, Vanoni, Marco, Dreher, Felix, Sezerman, O.Ugur, Cuggia, Marc, de Tayrac, Marie, Miklasevics, Edvins, Itu, Lucian Mihai, Geanta, Marius, Ogilvie, Lesley, Godey, Florence, Boldisor, Cristian Nicolae, Campillo-Gimenez, Boris, Cioroboiu, Cosmina, Ciusdel, Costin Florian, Coman, Simona, Hijano Cubelos, Oliver, Itu, Alina, Lange, Bodo, Le Gallo, Matthieu, Lespagnol, Alexandra, Mauri, Giancarlo, Soykam, H.Okan, Rance, Bastien, Turano, Paola, Tenori, Leonardo, Vignoli, Alessia, Wierling, Christoph, Benhabiles, Nora, Burgun, Anita
Published in BMC medical informatics and decision making (02.10.2021)

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Analysis of delirium prediction in the ICU based on the hybrid SGDCS-ANFIS approach

by Tian, Yuan, Liang, Yongquan, Chen, Yufeng, Bian, Hongyang
Published in Medical & biological engineering & computing (01.03.2023)

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Machine learning algorithms for claims data‐based prediction of in‐hospital mortality in patients with heart failure

by König, Sebastian, Pellissier, Vincent, Hohenstein, Sven, Bernal, Andres, Ueberham, Laura, Meier‐Hellmann, Andreas, Kuhlen, Ralf, Hindricks, Gerhard, Bollmann, Andreas
Published in ESC Heart Failure (01.08.2021)

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Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines

by Ahmed, Hosameldin, Nandi, Asoke K
Year of Publication 2019

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Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patients

by Nazari, Mostafa, Shiri, Isaac, Zaidi, Habib
Published in Computers in biology and medicine (01.02.2021)

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Probability calibration-based prediction of recurrence rate in patients with diffuse large B-cell lymphoma

by Fan, Shuanglong, Zhao, Zhiqiang, Zhang, Yanbo, Yu, Hongmei, Zheng, Chuchu, Huang, Xueqian, Yang, Zhenhuan, Xing, Meng, Lu, Qing, Luo, Yanhong
Published in BioData mining (13.08.2021)

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Prediction the prognosis of the poisoned patients undergoing hemodialysis using machine learning algorithms

by Rahimi, Mitra, Afrash, Mohammad Reza, Shadnia, Shahin, Mostafazadeh, Babak, Evini, Peyman Erfan Talab, Bardsiri, Mohadeseh Sarbaz, Ramezani, Maral
Published in BMC medical informatics and decision making (06.02.2024)

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A systematic comparison of short-term and long-term mortality prediction in acute myocardial infarction using machine learning models

by Yang, Yawei, Tang, Junjie, Ma, Liping, Wu, Feng, Guan, Xiaoqing
Published in BMC medical informatics and decision making (05.06.2025)

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Evaluating reproducibility of AI algorithms in digital pathology with DAPPER

by Bizzego, Andrea, Bussola, Nicole, Chierici, Marco, Maggio, Valerio, Francescatto, Margherita, Cima, Luca, Cristoforetti, Marco, Jurman, Giuseppe, Furlanello, Cesare
Published in PLoS computational biology (01.03.2019)

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