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Detection and Prediction of Infectious Diseases Using IoT Sensors: a Review

EasyChair Preprint no. 5315

4 pagesDate: April 12, 2021


An infectious kind of disease affect huge number of human beings. A lot of investigation being conducted throughout the world. There are many interactive hardware platform packages like IoT in healthcare including smart tracking, smart sensors, and clinical device integration available in market. Emerging technology like IoT has notable ability to hold patients secure and healthful and also enhance how physicians supply care. Healthcare IoT also can bolster affected person pride by permitting patients to spend more time interacting with their medical doctors due to the fact docs aren't as taken with the mundane and rote aspects of their career. The most considerable advantage to IoT in healthcare is that it supports doctors in undertaking extra significant clinical work in a profession that already is experiencing a worldwide professional hard work shortage. This paper investigate the basis exploration of applicability of IoT in healthcare System.

Keyphrases: Healthcare, infectious disease, IoT, Prompt detection

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Mohammad Meraj and Surendra Pal Singh and Prashant Johri and Mohammad Tabrez Quasim},
  title = {Detection and Prediction of Infectious Diseases Using IoT Sensors: a Review},
  howpublished = {EasyChair Preprint no. 5315},

  year = {EasyChair, 2021}}
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