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Generalized Disease Prediction based on Symptoms

Author

Listed:
  • Ramandeep Singh Sethi
  • Aniket Thumar
  • Vaibhav Jain
  • Sachin Chavan

Abstract

We are right now facing a daily reality where mobile utilization is developing exponentially. Mobile technology is omnipresent. It offers services that is customized to us – the 21st century user. Innovation has empowered us incredibly, we look for data anyplace and anytime. Digital health is acquainting new methodologies with the administration of health conditions. Research has exhibited noteworthy development in the effect that digital health is having on patients and overall healthcare. The selection of digital health tools, such as mobile healthcare apps, holds incredible guarantee with proof of these tools playing a positive role in both patient results and the expenses. Portable applications can enable patients to be effectively associated with each phase of their healthcare venture. This fundamentally enhances patient commitment and the patient experience, and urges purchasers to be responsible for their own health. Portable apps can tailor health content as indicated by the patients, or healthcare providers, mobile history and current conduct. These customized mobile experiences help convey highly pertinent information at the right time, based on user priority.

Suggested Citation

  • Ramandeep Singh Sethi & Aniket Thumar & Vaibhav Jain & Sachin Chavan, 2019. "Generalized Disease Prediction based on Symptoms," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 5(2), pages 543-546, April.
    • Handle: RePEc:jbh:ijsrcs:v5:y2019:i2:id:hcseit1952154
    DOI: 10.32628/CSEIT1952154
    Note: Article URL: https://ijsrcseit.com/CSEIT1952154
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