INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Self-Surveillance of Alzheimer’s Patient Using KNN Machine Learning Algorithm
Authors Name:
Dr. Reshma Banu
, Diya H S , Amulya MB , Brinda AN , Vanditha Srilakshmi S
Unique Id:
IJSDR2007032
Published In:
Volume 5 Issue 7, July-2020
Abstract:
Alzheimer's disease is a chronic neurodegenerative disease that usually starts slowly and gets worse over time. The most common early symptom of Alzheimer’s disease is difficulty in remembering recent events. To help the Alzheimer's patient have an independent life we propose this Monitoring System. This system helps to keep track of the activities and motions of the Alzheimer's patient. We use technologies such as IOT and ML to give the Alzheimer's patients a sense of competence and ability to handle behavioural problems and take best decision thus thereby reducing the burden on caretakers.
Keywords:
Alzheimer's, IOT, ML, KNN, assisted living, monitoring system
Cite Article:
"Self-Surveillance of Alzheimer’s Patient Using KNN Machine Learning Algorithm", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 7, page no.251 - 255, July-2020, Available :http://www.ijsdr.org/papers/IJSDR2007032.pdf
Downloads:
000337073
Publication Details:
Published Paper ID: IJSDR2007032
Registration ID:192041
Published In: Volume 5 Issue 7, July-2020
DOI (Digital Object Identifier):
Page No: 251 - 255
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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