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Machine learning decision tree algorithm role for predicting mortality in critically ill adult COVID-19 patients admitted to the ICU.
Elhazmi, Alyaa; Al-Omari, Awad; Sallam, Hend; Mufti, Hani N; Rabie, Ahmed A; Alshahrani, Mohammed; Mady, Ahmed; Alghamdi, Adnan; Altalaq, Ali; Azzam, Mohamed H; Sindi, Anees; Kharaba, Ayman; Al-Aseri, Zohair A; Almekhlafi, Ghaleb A; Tashkandi, Wail; Alajmi, Saud A; Faqihi, Fahad; Alharthy, Abdulrahman; Al-Tawfiq, Jaffar A; Melibari, Rami Ghazi; Al-Hazzani, Waleed; Arabi, Yaseen M.
Afiliación
  • Elhazmi A; Department of Critical Care, Dr. Sulaiman Al-Habib Medical Group, Riyadh, Saudi Arabia; College of Medicine, Alfaisal University, Riyadh, Saudi Arabia. Electronic address: a.m.haz@live.com.
  • Al-Omari A; Research Center, Dr. Sulaiman Alhabib Medical Group, Riyadh, Saudi Arabia; College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
  • Sallam H; Department of Adult Critical Care Medicine, King Faisal Specialist Hospital & Research Centre, Saudi Arabia.
  • Mufti HN; Section of Cardiac Surgery, Department of Cardiac Sciences, King Faisal Cardiac Center, King Abdulaziz Medical City, MNGHA-WR, Jeddah, Saudi Arabia; College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Jeddah, Saudi Arabia. King Abdullah International Medical Research Center,
  • Rabie AA; Critical Care Department, King Saud Medical City, Riyadh, Saudi Arabia. Electronic address: drarabie@ksmc.med.sa.
  • Alshahrani M; Emergency and Critical Care Department, King Fahad Hospital of The University, Imam Abdul Rahman ben Faisal University, Dammam, Saudi Arabia.
  • Mady A; Critical Care Department, King Saud Medical City, Riyadh, Saudi Arabia; Department of Anesthesiology and Intensive Care, Tanta University Hospitals, Tanta, Egypt.
  • Alghamdi A; Prince Sultan Military Medical City, Military Medical Services, Ministry of Defence, Riyadh, Saudi Arabia.
  • Altalaq A; Prince Sultan Military Medical City, Military Medical Services, Ministry of Defence, Riyadh, Saudi Arabia.
  • Azzam MH; Intensive Care Department, King Abdullah Medical Complex, Jeddah, Saudi Arabia.
  • Sindi A; Department of Anesthesia and Critical Care, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Kharaba A; Department of Critical Care, King Fahad Hospital, Al Medina Al Monawarah, Saudi Arabia.
  • Al-Aseri ZA; Departments Of Emergency Medicine and Critical Care, College of Medicine, King Saud University, Riyadh, Saudi Arabia; College Of Medicine, Dar Al Uloom University, Riyadh, Saudi Arabia.
  • Almekhlafi GA; Prince Sultan Military Medical City, Military Medical Services, Ministry of Defence, Riyadh, Saudi Arabia.
  • Tashkandi W; Department of Critical Care, Fakeeh Care Group, Jeddah, Saudi Arabia; Department of Surgery, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Alajmi SA; Prince Sultan Military Medical City, Military Medical Services, Ministry of Defence, Riyadh, Saudi Arabia.
  • Faqihi F; Critical Care Department, King Saud Medical City, Riyadh, Saudi Arabia.
  • Alharthy A; Critical Care Department, King Saud Medical City, Riyadh, Saudi Arabia.
  • Al-Tawfiq JA; Infectious Disease Unit, Specialty Internal Medicine, Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia. Infectious Disease Division, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Infectious Disease Division, Department of Medicine, Indiana University
  • Melibari RG; Department of Critical Care, King Abdullah Medical City, Makah, Saudi Arabia.
  • Al-Hazzani W; Department of Medicine, McMaster University, Hamilton, Canada; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada.
  • Arabi YM; College of Medicine, King Saud bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Center, Intensive Care Department, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia.
J Infect Public Health ; 15(7): 826-834, 2022 Jul.
Article en En | MEDLINE | ID: mdl-35759808
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Etiology_studies / Health_economic_evaluation / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Humans Idioma: En Revista: J Infect Public Health Asunto de la revista: DOENCAS TRANSMISSIVEIS / SAUDE PUBLICA Año: 2022 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Etiology_studies / Health_economic_evaluation / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Humans Idioma: En Revista: J Infect Public Health Asunto de la revista: DOENCAS TRANSMISSIVEIS / SAUDE PUBLICA Año: 2022 Tipo del documento: Article Pais de publicación: Reino Unido