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2023	Prediction of Early and Long-Term Hospital Readmission in Patients with Severe Obesity: A Retrospective Cohort Study Nutrients Fabio Bioletto, Andrea Evangelista, Giovannino Ciccone, Amelia Brunani, Valentina Ponzo, Enrica Migliore, Eva Pagano, Isabella Comazzi, Fabio Dario Merlo, Farnaz Rahimi, Ezio Ghigo, Simona Bo
2022	A review of the application of machine learning in adult obesity studies Applied Computing and Intelligence Mohammad Alkhalaf, Ping Yu, Jun Shen, Chao Deng
2021	Application of machine learning in predicting hospital readmissions: a scoping review of the literature BMC Medical Research Methodology Yinan Huang, Ashna Talwar, Satabdi Chatterjee, Rajender R. Aparasu
2020	Healthcare Delivery in the Information Age Isabella Eigner, Andrew Cooney
2020	Use of disease embedding technique to predict the risk of progression to end-stage renal disease Journal of Biomedical Informatics Fang Zhou, Avrum Gillespie, Djordje Gligorijevic, Jelena Gligorijevic, Zoran Obradovic
2020	Contemporary Perspectives in Data Mining Aishwarya Mohanakrishnan, Dinesh R. Pai, Girish H. Subramanian
2020	Common sampling and modeling approaches to analyzing readmission risk that ignore clustering produce misleading results BMC Medical Research Methodology Huaqing Zhao, Samuel Tanner, Sherita H. Golden, Susan G. Fisher, Daniel J. Rubin
2018	Designing risk prediction models for ambulatory no-shows across different specialties and clinics Journal of the American Medical Informatics Association Xiruo Ding, Ziad F Gellad, Chad Mather, Pamela Barth, Eric G Poon, Mark Newman, Benjamin A Goldstein
2018	Bayesian hierarchical vector autoregressive models for patient-level predictive modeling PLOS ONE Feihan Lu, Yao Zheng, Harrington Cleveland, Chris Burton, David Madigan