nanoll extt
Please use this identifier to cite or link to this item: http://lrcdrs.bennett.edu.in:80/handle/123456789/3859
Title: Suraksha - Disease Detector
Authors: Badotra, Sumit
Parihar, Arjun Singh
Tripathi, Khushi
Kundan, K Surya
P, Abhiram
Shyam, N Satya
Issue Date: 2023
Publisher: Cyber Tech Publications
Abstract: Disease discovery is a critical aspect of healthcare that requires accurate and timely opinion to insure effective treatment. This research introduces a cutting-edge Disease Predicting App designed to predict a diverse array of diseases, including heart disease, liver disease, diabetes, hepatitis, general diseases, lung cancer, Parkinson's disease, chronic kidney disease, and breast cancer. The app employs advanced machine learning algorithms to analyse comprehensive datasets comprising medical records, genetic information, and lifestyle factors. The primary objective is to provide early alerts for disease prediction, enabling proactive healthcare management and ultimately improving overall health outcomes
URI: http://lrcdrs.bennett.edu.in:80/handle/123456789/3859
ISSN: 978-93-5053-902-6
Appears in Collections:Book Chapters_ SCSET

Files in This Item:
File SizeFormat 
Ch_27_978-93-5053-902-6.pdf
  Restricted Access
2.86 MBAdobe PDFView/Open Request a copy

Contact admin for Full-Text

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.