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Prediction the prognosis of the poisoned patients undergoing hemodialysis using machine learning algorithms.

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Title: Prediction the prognosis of the poisoned patients undergoing hemodialysis using machine learning algorithms.
Authors: Rahimi M; Toxicological Research Center, Excellence Center & Department of Clinical Toxicology, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Afrash MR; Department of Artificial Intelligence, Smart University of Medical Sciences, Tehran, Iran., Shadnia S; Toxicological Research Center, Excellence Center & Department of Clinical Toxicology, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Mostafazadeh B; Toxicological Research Center, Excellence Center & Department of Clinical Toxicology, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Evini PET; Toxicological Research Center, Excellence Center & Department of Clinical Toxicology, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Bardsiri MS; Department of Clinical Toxicology, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.; Department of Clinical Toxicology, Firouzgar Hospital, Iran University of Medical Sciences, Tehran, Iran., Ramezani M; Department of Pharmacology, School of Medicine, Arak University of Medical Sciences, Arak, Iran. ramezanima1365@gmail.com.; Traditional and Complementary Medicine Research Center, Arak University of Medical Sciences, Arak, Iran. ramezanima1365@gmail.com.
Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2024 Feb 06; Vol. 24 (1), pp. 38. Date of Electronic Publication: 2024 Feb 06.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Rahimi+M%22">Rahimi M</searchLink>; Toxicological Research Center, Excellence Center & Department of Clinical Toxicology, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Afrash+MR%22">Afrash MR</searchLink>; Department of Artificial Intelligence, Smart University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Shadnia+S%22">Shadnia S</searchLink>; Toxicological Research Center, Excellence Center & Department of Clinical Toxicology, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Mostafazadeh+B%22">Mostafazadeh B</searchLink>; Toxicological Research Center, Excellence Center & Department of Clinical Toxicology, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Evini+PET%22">Evini PET</searchLink>; Toxicological Research Center, Excellence Center & Department of Clinical Toxicology, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Bardsiri+MS%22">Bardsiri MS</searchLink>; Department of Clinical Toxicology, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.; Department of Clinical Toxicology, Firouzgar Hospital, Iran University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Ramezani+M%22">Ramezani M</searchLink>; Department of Pharmacology, School of Medicine, Arak University of Medical Sciences, Arak, Iran. ramezanima1365@gmail.com.; Traditional and Complementary Medicine Research Center, Arak University of Medical Sciences, Arak, Iran. ramezanima1365@gmail.com.
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              Text: 2024 Feb 06
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