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
Diabetes, also known as chronic illness, is a group of metabolic diseases due to a high level of sugar in the blood over a long period. The risk factor and severity of diabetes can be reduced significantly if the precise early prediction is possible. Machine learning (ML) has been shown to be effective in assisting in making decisions and predictions from the large quantity of data produced by the healthcare industry. We have also seen ML techniques being used in recent developments in different areas of the Internet of Things (IoT). Various studies give only a glimpse into predicting diabetes with ML techniques. The prediction model is introduced with different combinations of features and several known classification techniques. The system is developed based on classification algorithms includes Random Forest, Logistic Regression, Gradient Boosting and Artificial Neural Network algorithms have been used. The performance measuring metrics are used for assessment of the performances of the classifiers. The performances of the classifiers have been checked on the selected features as selected by features selection algorithms.
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"Healthcare Recommendation System Using Ann Algorithm", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.179 - 182, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304034.pdf
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Publication Details:
Published Paper ID: IJSDR2304034
Registration ID:205019
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 179 - 182
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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