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
Mobile health care solutions involving patient monitoring are in increasing demand of today’s healthcare industry. The use of multimodal inputs in a smart healthcare framework is promising due to the increase in accuracy of the systems involved in the framework. Machine Learning (ML) is the fastest rising arena in computer science, and health informatics is of extreme challenge. The aim of Machine Learning is to develop algorithms which can learn and progress over time and can be used for predictions. Machine Learning practices are widely used in various fields and primarily health care industry has been benefitted a lot through machine learning prediction techniques. Today there various alerting and risk management decision support tools available to monitor patient’s healthcare quality. With the need to reduce healthcare costs and the movement towards personalized healthcare, the healthcare industry faces challenges in the essential areas like, electronic record management, data integration, and computer aided diagnoses and disease predictions which can be solved by using healthcare bots.
Keywords:
Machine Learning, Healthcare Model Predictions, Supervised & Unsupervised, Algorithm
Cite Article:
"Healthcare Bot using Machine Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 11, page no.432 - 436, November-2018, Available :http://www.ijsdr.org/papers/IJSDR1811077.pdf
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000336256
Publication Details:
Published Paper ID: IJSDR1811077
Registration ID:180753
Published In: Volume 3 Issue 11, November-2018
DOI (Digital Object Identifier):
Page No: 432 - 436
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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