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Our team has been leading an institutional effort to develop machine-learning models that can predict hospital census 12 hours into the future. We describe our efforts at developing accurate empirical models for this task. Ultimately, with limited resources and time, we were able to develop simple yet useful models for 12-hour census prediction and design a dashboard application to display this output to our hospital\u2019s decision-makers. Specifically, we found that linear models with ElasticNet regularization performed well for this task with relative 95% error of +\/\u2212 3.4% and that this work could be completed in approximately 7 months.<\/jats:p>","DOI":"10.1093\/jamia\/ocab089","type":"journal-article","created":{"date-parts":[[2021,4,30]],"date-time":"2021-04-30T11:57:52Z","timestamp":1619783872000},"page":"1977-1981","source":"Crossref","is-referenced-by-count":4,"title":["Practical development and operationalization of a 12-hour hospital census prediction algorithm"],"prefix":"10.1093","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0138-5112","authenticated-orcid":false,"given":"Alexander J","family":"Ryu","sequence":"first","affiliation":[{"name":"Division of Hospital Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9922-0083","authenticated-orcid":false,"given":"Santiago","family":"Romero-Brufau","sequence":"additional","affiliation":[{"name":"Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Narges","family":"Shahraki","sequence":"additional","affiliation":[{"name":"Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiawei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Harvard T. 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