International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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Framework of Health Recommender System for COVID-19 Self-assessment and Treatments: A Case Study in Malaysia

  • Othman, Mahfudzah (Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM) Perlis Branch) ;
  • Zain, Nurzaid Muhd (Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM) Perlis Branch) ;
  • Paidi, Zulfikri (Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM) Perlis Branch) ;
  • Pauzi, Faizul Amir (Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM) Perlis Branch)
  • Received : 2021.01.05
  • Published : 2021.01.30
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Abstract

This paper proposes a framework for the development of the health recommender system, designed to cater COVID-19 symptoms' self-assessment and monitoring as well as to provide recommendations for self-care and medical treatments. The aim is to provide an online platform for Patient Under Investigation (PUI) and close contacts with positive COVID-19 cases in Malaysia who are under home quarantine to perform daily self-assessment in order to monitor their own symptoms' development. To achieve this, three main phases of research methods have been conducted where interviews have been done to thirty former COVID-19 patients in order to investigate the symptoms and practices conducted by the Malaysia Ministry of Health (MOH) in assessing and monitoring COVID-19 patients who were under home quarantine. From the interviews, an algorithm using user-based collaborative filtering technique with Pearson correlation coefficient similarity measure is designed to cater the self-assessment and symptoms monitoring as well as providing recommendations for self-care treatments as well as medical interventions if the symptoms worsen during the 14-days quarantine. The proposed framework will involve the development of the health recommender system for COVID-19 self-assessment and treatments using the progressive web application method with cloud database and PHP codes.

Keywords

Acknowledgement

The authors would like to express their cordial thanks to Malaysia Ministry of Health (MOH) and all thirty respondents who have taken part in the interview sessions.

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