multi disease diagonosis with doctor recommendation system using deep learning algorithm

Registration ID: IJNRD_220613

Published ID: IJNRD2405109

DOI: Click Here to Get

A.Reeta Joldrine , A.Y.Hilden Pieo , K.Prasanth , P.Arun bharathi , R.Jeeva

data mining,healthcare,python pickling

Data mining for healthcare is an interdisciplinary subject of research that has its roots in database statistics and can be used to assess the efficacy of medical treatments. Many existing machine learning models for health care analysis focus on a single ailment at a time. For example, one analysis could be for diabetes, another for cancer, and yet another for cancer disorders. There is no universal approach that can forecast multiple diseases with a single analysis. This project proposes a system that uses Python Flask API to forecast numerous diseases. Diabetes analysis, heart disease analysis, and breast cancer analysis were all used in this investigation. Machine learning methods, Pandas, and the Flask API were used to implement multiple illness analysis. Python pickling is used to save model behaviour, while Python unpickling is used to load the pickle file. The significance of this research is that it analyses diseases and includes all of the parameters that produce the condition, making it possible to detect the disease's maximal impact. Using the KAGGLE dataset, we conduct an exhaustive search of all available feature variables within the data to develop models for cardiovascular, cancer detection, and diabetes detection. Using different time-frames and feature sets for the data (based on laboratory data), machine learning model named as Multi layer perceptron algorithm is implemented to predict the diseases with improved accuracy.

Published Paper   E-Certificate

A.Reeta Joldrine, A.Y.Hilden Pieo, K.Prasanth, P.Arun bharathi , & R.Jeeva (May-2024). multi disease diagonosis with doctor recommendation system using deep learning algorithm . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), b57-b60. https://ijnrd.org/papers/IJNRD2405109.pdf

Volume 9 Issue 5, May-2024

Pages : b57-b60

Paper Reg. ID: IJNRD_220613

Published Paper Id: IJNRD2405109

Downloads: 000121996

Research Area: Computer Engineering 

Country: perambalur, TamilNadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405109.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405109

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.

How to submit the paper?

By Our website

Click Here to Submit Paper Online

By Mail

Send your paper to editor@ijnrd.org

Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details