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Development of prediction models for perioperative opioid needs in laparoscopic cholecystectomy patients: A machine-learning approach.

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Title: Development of prediction models for perioperative opioid needs in laparoscopic cholecystectomy patients: A machine-learning approach.
Authors: Huang Y; Department of Obstetrics and Gynecology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY., Li G; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY.; Department of Anesthesiology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY., Martins SS; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY., Mauro PM; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY.; Center for Pharmacoepidemiology and Treatment Science, Rutgers Institute for Health, Health Care Policy and Aging Research, New Brunswick, NJ.; Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ., Tergas AI; Division of Gynecologic Oncology, Department of Obstetrics, Gynecology, and Reproductive Sciences, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ., Hou J; Department of Obstetrics and Gynecology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY., Xu X; Department of Obstetrics and Gynecology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY., Elkin EB; Department of Health Policy and Management, Columbia University Mailman School of Public Health, New York, NY., Jacobson JS; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY., Wright JD; Department of Obstetrics and Gynecology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY.
Source: Surgery open science [Surg Open Sci] 2026 Jan 19; Vol. 30, pp. 14-22. Date of Electronic Publication: 2026 Jan 19 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101768812 Publication Model: eCollection Cited Medium: Internet ISSN: 2589-8450 (Electronic) Linking ISSN: 25898450 NLM ISO Abbreviation: Surg Open Sci Subsets: PubMed not MEDLINE
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  Data: <searchLink fieldCode="AU" term="%22Huang+Y%22">Huang Y</searchLink>; Department of Obstetrics and Gynecology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY.<br /><searchLink fieldCode="AU" term="%22Li+G%22">Li G</searchLink>; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY.; Department of Anesthesiology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY.<br /><searchLink fieldCode="AU" term="%22Martins+SS%22">Martins SS</searchLink>; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY.<br /><searchLink fieldCode="AU" term="%22Mauro+PM%22">Mauro PM</searchLink>; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY.; Center for Pharmacoepidemiology and Treatment Science, Rutgers Institute for Health, Health Care Policy and Aging Research, New Brunswick, NJ.; Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ.<br /><searchLink fieldCode="AU" term="%22Tergas+AI%22">Tergas AI</searchLink>; Division of Gynecologic Oncology, Department of Obstetrics, Gynecology, and Reproductive Sciences, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ.<br /><searchLink fieldCode="AU" term="%22Hou+J%22">Hou J</searchLink>; Department of Obstetrics and Gynecology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY.<br /><searchLink fieldCode="AU" term="%22Xu+X%22">Xu X</searchLink>; Department of Obstetrics and Gynecology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY.<br /><searchLink fieldCode="AU" term="%22Elkin+EB%22">Elkin EB</searchLink>; Department of Health Policy and Management, Columbia University Mailman School of Public Health, New York, NY.<br /><searchLink fieldCode="AU" term="%22Jacobson+JS%22">Jacobson JS</searchLink>; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY.<br /><searchLink fieldCode="AU" term="%22Wright+JD%22">Wright JD</searchLink>; Department of Obstetrics and Gynecology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY.
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  Data: <searchLink fieldCode="JN" term="%22101768812%22">Surgery open science</searchLink> [Surg Open Sci] 2026 Jan 19; Vol. 30, pp. 14-22. <i>Date of Electronic Publication: </i>2026 Jan 19 (<i>Print Publication: </i>2026).
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              Text: 2026 Jan 19
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