CNN Based Health Monitoring System
Shweta Udamale
, Ajay Chavan , Puja Shinde , Shubham Bhandari
Convolutional Neural Network, Deep Learning, Disease Prediction, Data Processing
Based on predictive modelling, a disease prediction system determines the user's disease from the symptoms they submit as input to the system. The system evaluates the user's symptoms as input and outputs the likelihood that the disease will occur. Utilizing a decision tree classifier, disease prediction is accomplished. The probability of the disease is calculated by CNN Classifier. The disease prediction system also determines disease severity and makes medication recommendations based on that severity. Another benefit of the suggested method is that it suggests nutrition and suitable exercise. Both the user's current health and medical history are considered in disease prediction.
"CNN Based Health Monitoring System ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 3, page no.1112 - 1115, March-2023, Available :https://ijsdr.org/papers/IJSDR2303184.pdf
Volume 8
Issue 3,
March-2023
Pages : 1112 - 1115
Paper Reg. ID: IJSDR_203904
Published Paper Id: IJSDR2303184
Downloads: 000347421
Research Area: Computer Engineering
Country: Pune, Maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
