multi disease diagonosis with doctor recommendation system using deep learning algorithm

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

"multi disease diagonosis with doctor recommendation system using deep learning algorithm ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.b57-b60, May-2024, Available :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: 000121176

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

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

Call For Paper - Volume 10 | Issue 8 | August 2025

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