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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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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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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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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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Advancing prognostic precision in pulmonary embolism: A clinical and laboratory-based artificial intelligence approach for enhanced early mortality risk stratification

by Sadegh-Zadeh, Seyed-Ali, Sakha, Hanie, Movahedi, Sobhan, Fasihi Harandi, Aniseh, Ghaffari, Samad, Javanshir, Elnaz, Ali, Syed Ahsan, Hooshanginezhad, Zahra, Hajizadeh, Reza
Published in Computers in biology and medicine (01.12.2023)

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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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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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Machine learning-based models for the prediction of breast cancer recurrence risk

by Zuo, Duo, Yang, Lexin, Jin, Yu, Qi, Huan, Liu, Yahui, Ren, Li
Published in BMC medical informatics and decision making (29.11.2023)

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The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review

by Hossain, Md Zakir, Daskalaki, Elena, Brüstle, Anne, Desborough, Jane, Lueck, Christian J., Suominen, Hanna
Published in BMC medical informatics and decision making (15.09.2022)

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Machine learning for the prediction of 1-year mortality in patients with sepsis-associated acute kidney injury

by Li, Le, Guan, Jingyuan, Peng, Xi, Zhou, Likun, Zhang, Zhuxin, Ding, Ligang, Zheng, Lihui, Wu, Lingmin, Hu, Zhicheng, Liu, Limin, Yao, Yan
Published in BMC medical informatics and decision making (25.07.2024)

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Machine learning-based evaluation of prognostic factors for mortality and relapse in patients with acute lymphoblastic leukemia: a comparative simulation study

by Mehrbakhsh, Zahra, Hassanzadeh, Roghayyeh, Behnampour, Nasser, Tapak, Leili, Zarrin, Ziba, Khazaei, Salman, Dinu, Irina
Published in BMC medical informatics and decision making (16.09.2024)

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Machine learning–based predictive model for post-stroke dementia

by Wei, Zemin, Li, Mengqi, Zhang, Chenghui, Miao, Jinli, Wang, Wenmin, Fan, Hong
Published in BMC medical informatics and decision making (11.11.2024)

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An External-Validated Prediction Model to Predict Lung Metastasis among Osteosarcoma: A Multicenter Analysis Based on Machine Learning

by Li, Wenle, Liu, Wencai, Hussain Memon, Fida, Wang, Bing, Xu, Chan, Dong, Shengtao, Wang, Haosheng, Hu, Zhaohui, Quan, Xubin, Deng, Yizhuo, Liu, Qiang, Su, Shibin, Yin, Chengliang
Published in Computational intelligence and neuroscience (06.05.2022)

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Electronic patient-reported outcomes and machine learning in predicting immune-related adverse events of immune checkpoint inhibitor therapies

by Iivanainen, Sanna, Ekstrom, Jussi, Virtanen, Henri, Kataja, Vesa V., Koivunen, Jussi P.
Published in BMC medical informatics and decision making (30.06.2021)

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Predicting delayed methotrexate elimination in pediatric acute lymphoblastic leukemia patients: an innovative web-based machine learning tool developed through a multicenter, retrospective analysis

by Jian, Chang, Chen, Siqi, Wang, Zhuangcheng, Zhou, Yang, Zhang, Yang, Li, Ziyu, Jian, Jie, Wang, Tingting, Xiang, Tianyu, Wang, Xiao, Jia, Yuntao, Wang, Huilai, Gong, Jun
Published in BMC medical informatics and decision making (03.08.2023)

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Diagnosis and prognosis of COVID-19 employing analysis of patients' plasma and serum via LC-MS and machine learning

by de Fátima Cobre, Alexandre, Surek, Monica, Stremel, Dile Pontarolo, Fachi, Mariana Millan, Lobo Borba, Helena Hiemisch, Tonin, Fernanda Stumpf, Pontarolo, Roberto
Published in Computers in biology and medicine (01.07.2022)

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Long-term survival prediction in patients with acute brain lesions using ensemble machine learning algorithms: a cohort study with combined national health insurance service and its self-run hospital database

by Park, Dougho, Hong, Daeyoung, Jin, Suntak, Kim, Jong Hun, Kim, Hyoung Seop
Published in Journal of big data (01.04.2025)

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Risk prediction of QTc prolongation occurrence in cancer patients treated with commonly used oral tyrosine kinase inhibitors: machine learning modeling or conventional statistical analysis better?

by Lin, Hsiang-Wen, Lin, Tien-Chao, Hsu, Chien-Ning, Yeh, Tzu-Pei, Chen, Yu-Chieh, Liu, Liang-Chih, Lin, Chen-Yuan
Published in BMC medical informatics and decision making (15.08.2025)

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A novel miRNA-based classification model of risks and stages for clear cell renal cell carcinoma patients

by Dessie, Eskezeia Y., Tsai, Jeffrey J. P., Chang, Jan-Gowth, Ng, Ka-Lok
Published in BMC bioinformatics (25.05.2021)

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Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study

by Afrash, Mohammad Reza, Mirbagheri, Esmat, Mashoufi, Mehrnaz, Kazemi-Arpanahi, Hadi
Published in BMC medical informatics and decision making (06.04.2023)

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