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
T.G.S.Adhitya
, V.V.Bobby , T.Uma Mahesh , Ala Abhishek Kumar , Dr. S. Maruthu Perumal
Unique Id:
IJSDR2304197
Published In:
Volume 8 Issue 4, April-2023
Abstract:
Currently, the fitness provider has end up a rapidly growing discipline that makes a speciality of pc health and has advanced through records transport to enhance health care at the nearby, nearby, and international levels. An effective version for predictingsickness risk through eHealth informationanalysis gives advantages no longer handiest for affected person care, but additionally for provider shipping via suitable information-pushed eHealth systems. In this newsletter, we awareness on the prediction and evaluation of diabetes mellitus, an increasingly common continual disorder that belongs to a group of metabolic issues characterised via excessive blood sugar levels over a protracted time frame.K-Nearest Neighbor (KNN) is one of the maximum popular and easy gadget learning strategies to construct this sort of ailment threat prediction model the usage of relevant fitness information. To gain this purpose, weintroduce the top of the line K-nearest (OPT-KNN) is a predictive getting to know model based totally on the patient'srecurring attributes in diverse dimensions. This approach determines the high-quality wide variety of acquaintances with a small blunders to offer a better prediction bring about the resulting model. The effectiveness of this device gaining knowledge of eHealth model is examined by walking experiments with real diabetes data accumulated from clinical hospitals.
Keywords:
Cite Article:
"Diabetes Predication Using Ensembling Techniques", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1222 - 1225, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304197.pdf
Downloads:
000337077
Publication Details:
Published Paper ID: IJSDR2304197
Registration ID:205159
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 1222 - 1225
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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