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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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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
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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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 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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Journal Article
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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Journal Article
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
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