Disease Prediction Using Machine Learning (Heart, Diabetes, Breast Cancer, Kidney)

Vaishnavi Madhukar Ghadge; Pranit Nitin Ghorpade; Ruturaj Santosh  Bodare; Vivek Sanjay Pisal; Prof. P.N. Shendage

Disease Prediction Using Machine Learning (Heart, Diabetes, Breast Cancer, Kidney)

June 2022

Vol-8, Issue-3

Paper ID: 17189

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Engineering

Keywords

Machine learning SVM KNN data processing TP TN FP FN DL and ML.

Abstract

Now- a -days people are facing so many diseases due to environmental changes and wrong life style [1]. Due to this it has become crucial task to detect that disease at early stage to prevent future loss. To do an accurate prediction within limited time using proposed data has become a challenge to the doctors. Data mining is very important task. In every field data is growing exponentially so that medical field is also not an exception. With the help of data collected from medical field, data preprocessing and machine learning, deep learning algorithms we can find out the hidden patterns. We represented a general disease prediction model to predict diseases like diabetes, breast cancer, heart attack, kidney and liver disease [1]. For these disease forecasts we used a pruning tree, K-Nearest Neighbor (KNN), retrieval machine and vector support (SVM) machine. Accuracy of breast cancer model is 97.36% using KNN which is a very popular algorithm with a noticeable efficiency. The accuracy of liver disease is 74.2% using logistic regression which is more than decision tree and KNN. Accuracy of heart disease is 86.9% using KNN while accuracy of diabetes is 81.1% using SVM.

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Author Information

#	Name	Institute / Affiliation
1	Vaishnavi Madhukar Ghadge	Phaltan Education Society's College of Engineering Phaltan
2	Pranit Nitin Ghorpade	Phaltan Education Society's College of Engineering Phaltan
3	Ruturaj Santosh Bodare	Phaltan Education Society's College of Engineering Phaltan
4	Vivek Sanjay Pisal	Phaltan Education Society's College of Engineering Phaltan
5	Prof. P.N. Shendage	Phaltan Education Society's College of Engineering Phaltan

How to Cite

Use the following formats to cite this article in your research.

APA Style

Ghadge, Vaishnavi Madhukar, Ghorpade, Pranit Nitin, Bodare, Ruturaj Santosh , Pisal, Vivek Sanjay, & Shendage, Prof. P.N. (2022). Disease Prediction Using Machine Learning (Heart, Diabetes, Breast Cancer, Kidney). International Journal of Advance Research and Innovative Ideas In Education, 8(3), 3226-3236.

MLA Style

Ghadge, Vaishnavi Madhukar, et al. "Disease Prediction Using Machine Learning (Heart, Diabetes, Breast Cancer, Kidney)." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 3226-3236.

IEEE Style

Vaishnavi Madhukar Ghadge, Pranit Nitin Ghorpade, Ruturaj Santosh Bodare, Vivek Sanjay Pisal, and Prof. P.N. Shendage, "Disease Prediction Using Machine Learning (Heart, Diabetes, Breast Cancer, Kidney)," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 3226-3236, 2022.

Vancouver Style

Ghadge Vaishnavi Madhukar, Ghorpade Pranit Nitin, Bodare Ruturaj Santosh , Pisal Vivek Sanjay, Shendage Prof. P.N.. Disease Prediction Using Machine Learning (Heart, Diabetes, Breast Cancer, Kidney). International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):3226-3236.

Harvard Style

Ghadge, Vaishnavi Madhukar, Ghorpade, Pranit Nitin, Bodare, Ruturaj Santosh , Pisal, Vivek Sanjay, & Shendage, Prof. P.N. (2022) 'Disease Prediction Using Machine Learning (Heart, Diabetes, Breast Cancer, Kidney)', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 3226-3236.

Chicago Style

Ghadge, Vaishnavi Madhukar, et al. "Disease Prediction Using Machine Learning (Heart, Diabetes, Breast Cancer, Kidney)." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 3226-3236.

Turabian Style

Ghadge, Vaishnavi Madhukar, et al. "Disease Prediction Using Machine Learning (Heart, Diabetes, Breast Cancer, Kidney)." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 3226-3236.