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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM24911

MEDIREC: A NOVEL MEDICINE RECOMMENDATION SYSTEM FOR PERSONALIZED HEALTHCARE

Stream/Area:

-

Subject:

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Paper ID:

IJSREM24911

Volume:

7 |

7 |

Jul 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SN

Shuchitha N

DTVK

Dr T Viajaya Kumar

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Abstract

Abstract- Personalized healthcare is an emerging paradigm that aims to optimize medical treatment by tailoring it to an individual’s specific needs. In this context, medicine recommendation systems play a crucial role in assisting healthcare professionals in making informed decisions. In this paper, we present “MediRec” a novel and advanced medicine recommendation system designed to provide personalized healthcare solutions. utilizes state-of-the-art machine learning techniques and data analytics to offer accurate and relevant medication recommendations based on individual patient profiles, medical history, and current health conditions. The system leverages a comprehensive dataset of anonymized patient records, including medical histories, diagnostic results, and treatment outcomes. Through advanced data preprocessing and feature engineering, this research effectively captures essential patient information while ensuring data privacy and security.

KEYWORDS

Feature engineering Collaborative filtering Natural language processing Data analytics

Cite This Article

Shuchitha N, Dr T Viajaya Kumar, "MEDIREC: A NOVEL MEDICINE RECOMMENDATION SYSTEM FOR PERSONALIZED HEALTHCARE," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 7, Jul 2023.

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Publication Date

7/30/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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