Study and analysis of COVID-19 patients using machine learning methods

العناوين الأخرى

دراسة و تحليل مرضى Covid-19 باستخدام طرق التعلم الآلي

المؤلفون المشاركون

al-Janahi, Yasir M.
Khan, Muhammad Zubayr

المصدر

Journal of King Abdulaziz University : Computing and Information Technology Sciences

العدد

المجلد 10، العدد 1 (30 يونيو/حزيران 2021)، ص ص. 37-47، 11ص.

الناشر

جامعة الملك عبد العزيز كلية الحاسبات و تقنية المعلومات

تاريخ النشر

2021-06-30

دولة النشر

السعودية

عدد الصفحات

11

التخصصات الرئيسية

العلوم الهندسية والتكنولوجية (متداخلة التخصصات)

الملخص EN

Machine Learning (ML) systems has been used in healthcare to recognize and diagnose diseases using patient’s data.

The use of ML in technology has reformed and improved healthcare by automatically detecting and diagnosing diseases which in turn improve patient’s health and saves lives.

Therefore, in this study, ML algorithms are used to predict death and recovery of patients.

Using several ML algorithms the death or recovery of patients was predicated.

The Naïve Bayes and Bagged Trees algorithms provided the best performance rates of 79% and 77% respectively.

However, in terms of accuracy, the Medium Tree and ensemble method Boosted Tree classification algorithms showed 89% accuracy.

This study showed that using ML technology could alert healthcare providers to provide faster treatment for high risk COVID-19 patients which in turn save lives and improve quality of healthcare service.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

al-Janahi, Yasir M.& Khan, Muhammad Zubayr. 2021. Study and analysis of COVID-19 patients using machine learning methods. Journal of King Abdulaziz University : Computing and Information Technology Sciences،Vol. 10, no. 1, pp.37-47.
https://search.emarefa.net/detail/BIM-1327428

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

al-Janahi, Yasir M.& Khan, Muhammad Zubayr. Study and analysis of COVID-19 patients using machine learning methods. Journal of King Abdulaziz University : Computing and Information Technology Sciences Vol. 10, no. 1 (2021), pp.37-47.
https://search.emarefa.net/detail/BIM-1327428

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

al-Janahi, Yasir M.& Khan, Muhammad Zubayr. Study and analysis of COVID-19 patients using machine learning methods. Journal of King Abdulaziz University : Computing and Information Technology Sciences. 2021. Vol. 10, no. 1, pp.37-47.
https://search.emarefa.net/detail/BIM-1327428

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 46

رقم السجل

BIM-1327428