UGC Approved Journal no 63975(19)

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

Volume 8 Issue 10
October-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2110043


Registration ID:
313411

Page Number

a324-a326

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Title

HealthDisease Prediction System

Abstract

Health is a crucial part of human lives. Nowadays, healthcare is becoming vital each day, as there are lots of diseases that emerge around us. Technology is transforming the medical sector by massively impacting almost all practices and processes of medical professionals. Despite this, many of the people and medical staff still dealing with paper-based medical records and prescriptions while conducting treatment. When a patient wants to appoint any hospital or clinic, to carry previous medical reports or past prescriptions is becoming essential for them. It is necessary because the doctor gets an idea about the patient’s health status by referring to their previous medical histories, helping for better treatments and medications. However, patients cannot maintain every medical documentary for years. Conventionally, the doctor asks patients about their previous diseases, prescription, or medicine details orally, nevertheless it becomes difficult to get exact information from the patient. Sometimes, it becomes more important for the doctor to know about the medical history of a person so that they can provide suitable treatment with better clarity of that person’s health. Focussing on this, a smart medical assistant system is designed where doctors can record all prescriptions, treatment, or medical details of the patient on software instead of writing on a paper. All these records are stored in the central cloud and made visible to doctors as well as patients. Each patient has assigned a unique authentication card for maintaining the privacy of their medical history account. Doctors can access and update a patient’s medical history anytime and anywhere by logging into their account through a smartcard swipe. The system can avoid overdue to treatment decisions. Likewise, the system helps to keep transparency about medicines and treatment.

Key Words

Records, Prescriptions,Doctor,Authentication, Patient, Treatment etc.

Cite This Article

"HealthDisease Prediction System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.a324-a326, October-2021, Available :http://www.jetir.org/papers/JETIR2110043.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

"HealthDisease Prediction System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. ppa324-a326, October-2021, Available at : http://www.jetir.org/papers/JETIR2110043.pdf

Publication Details

Published Paper ID: JETIR2110043
Registration ID: 313411
Published In: Volume 8 | Issue 10 | Year October-2021
DOI (Digital Object Identifier):
Page No: a324-a326
Country: Karad, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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