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Original Research

A Comprehensive Way to Access Hospital Death Prediction Model for Acute Mesenteric Ischemia: A Combination of Traditional Statistics and Machine Learning

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Pages 591-602 | Published online: 25 Feb 2021

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Wenhan Wu, Jia He, Shijian Zhang, Changtong Zeng & Qifa Wang. (2023) Basic demographic characteristics and prevalence of comorbidities in acute mesenteric ischemia: a systematic review and proportional meta-analysis. Scandinavian Journal of Gastroenterology 58:6, pages 605-618.
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Iván Maray, Cristina Álvarez-Asteinza, Clara Luz Fernández-Laguna, Lola Macía-Rivas, Mónica Carbajales-Álvarez & Ana Lozano-Blazquez. (2023) Dose reduction and toxicity of lenalidomide-dexamethasone in multiple myeloma: A machine-learning prediction model. Journal of Oncology Pharmacy Practice.
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Hafiz Khawar Hussain, Ahsan Ahmad, Muhammad Ali Adam, T. Kiruthiga & Ketan Gupta. (2023) Prediction of Blood Lactate Levels in Children after Cardiac Surgery using Machine Learning Algorithms. Prediction of Blood Lactate Levels in Children after Cardiac Surgery using Machine Learning Algorithms.
Annika Reintam Blaser, Alastair Forbes & Martin Björck. (2022) Acute mesenteric ischaemia. Current Opinion in Critical Care 28:6, pages 702-708.
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Ivan Maray, Adrián Rodríguez-Ferreras, Cristina Álvarez-Asteinza, Miguel Alaguero-Calero, Pablo Valledor & Javier Fernández. (2022) Linezolid induced thrombocytopenia in critically ill patients: Risk factors and development of a machine learning-based prediction model. Journal of Infection and Chemotherapy 28:9, pages 1249-1254.
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Ramish Sumbal, Mirza Mehmood Ali Baig & Anusha Sumbal. (2022) Predictors of Mortality in Acute Mesenteric Ischemia: A Systematic Review and Meta-Analysis. Journal of Surgical Research 275, pages 72-86.
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