Healthcare Informatics Research

Machine Learning for Benchmarking Critical Care Outcomes: Louis Atallah, Mohsen Nabian, Ludmila Brochini, Pamela J. Amelung; Healthc Inform Res. 2023;29(4):301-314. Published online October 31, 2023; DOI: https://doi.org/10.4258/hir.2023.29.4.301
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Analysis of the Effects of Electronic Medical Records and a Payment Scheme on the Length of Hospital Stay: Melaku Haile Likka, Yukio Kurihara; Healthc Inform Res. 2022;28(1):35-45. Published online January 31, 2022; DOI: https://doi.org/10.4258/hir.2022.28.1.35; Full text PubReader ePub PDF

Impact of Universal Suicide Risk Screening in a Pediatric Emergency Department: A Discrete Event Simulation Approach: Kenneth W. McKinley, Kelly N. Z. Rickard, Finza Latif, Theresa Wavra, Julie Berg, Sephora Morrison, James M. Chamberlain, Shilpa J. Patel; Healthc Inform Res. 2022;28(1):25-34. Published online January 31, 2022; DOI: https://doi.org/10.4258/hir.2022.28.1.25
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Prediction of Chronic Disease-Related Inpatient Prolonged Length of Stay Using Machine Learning Algorithms: Hasan Symum, José L. Zayas-Castro; Healthc Inform Res. 2020;26(1):20-33. Published online January 31, 2020; DOI: https://doi.org/10.4258/hir.2020.26.1.20
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Predicting Length of Stay in Intensive Care Units after Cardiac Surgery: Comparison of Artificial Neural Networks and Adaptive Neuro-fuzzy System: Hamidreza Maharlou, Sharareh R. Niakan Kalhori, Shahrbanoo Shahbazi, Ramin Ravangard; Healthc Inform Res. 2018;24(2):109-117. Published online April 30, 2018; DOI: https://doi.org/10.4258/hir.2018.24.2.109
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Hierarchical Genetic Algorithm and Fuzzy Radial Basis Function Networks for Factors Influencing Hospital Length of Stay Outliers: Ahmed Belderrar, Abdeldjebar Hazzab; Healthc Inform Res. 2017;23(3):226-232. Published online July 31, 2017; DOI: https://doi.org/10.4258/hir.2017.23.3.226
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Association of EMR Adoption with Minority Health Care Outcome Disparities in US Hospitals: Jae-Young Choi, Yong-Fang Kuo, James S. Goodwin, Jinhyung Lee; Healthc Inform Res. 2016;22(2):101-109. Published online April 30, 2016; DOI: https://doi.org/10.4258/hir.2016.22.2.101
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Use of Data Mining Techniques to Determine and Predict Length of Stay of Cardiac Patients: Peyman Rezaei Hachesu, Maryam Ahmadi, Somayyeh Alizadeh, Farahnaz Sadoughi; Healthc Inform Res. 2013;19(2):121-129. Published online June 30, 2013; DOI: https://doi.org/10.4258/hir.2013.19.2.121
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