UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 11 Issue 4
April-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2404655


Registration ID:
537126

Page Number

g416-g421

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Title

Health Care Chat bot using machine learning

Abstract

Being healthy is vital to human existence. Healthcare is becoming more and more important because of the various diseases that are currently rife in society. Technology is revolutionizing the medical field by significantly impacting nearly every procedure and approach used by medical professionals. Many medical professionals—including patients—still manage prescriptions and medical records on paper while providing care, in spite of this. Prescription drugs and previous medical records are becoming more and more necessary for patients to bring to any appointment they make at any hospital or clinic. It is required because the patient's previous medical records aid in the doctor's assessment of the patient's general health and make the development of more effective drugs and therapies easier. However, patients are unable to keep up with all of their medical records indefinitely. Generally, a doctor will question a patient verbally about any previous medical issues, prescriptions, and information about medications, but it can be challenging to elicit specific details from them. It can occasionally be even more crucial for a doctor to treat a patient appropriately and better understand their condition if they are aware of their medical history. Given this, a chatbot specifically created for the healthcare industry is created to allow physicians to enter all patient prescriptions, treatments, and other medical data into software rather than writing it down. All of these records are kept on a central cloud and are accessible to physicians and patients alike. In order to protect the confidentiality of their medical history account, each patient is given a special authentication card. By swiping a smartcard to access their account, doctors can view and update a patient's medical history at anytime, anywhere. Overdue cases can be prevented from entering the system by treatment decisions. Likewise, the system contributes to maintaining drug transparency.

Key Words

Healthcare, Artificial Intelligence, Virtual Assistance, TFID, N-gram

Cite This Article

"Health Care Chat bot using machine learning ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.g416-g421, April-2024, Available :http://www.jetir.org/papers/JETIR2404655.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Health Care Chat bot using machine learning ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppg416-g421, April-2024, Available at : http://www.jetir.org/papers/JETIR2404655.pdf

Publication Details

Published Paper ID: JETIR2404655
Registration ID: 537126
Published In: Volume 11 | Issue 4 | Year April-2024
DOI (Digital Object Identifier):
Page No: g416-g421
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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