Machine Learning for Diabetes, Heart Disease, Pneumonia, and Covid-19 Diagnostics
4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022
; : 265-270, 2022.
Article
in English
| Scopus | ID: covidwho-2299439
ABSTRACT
Machine Learning, a part of artificial intelligence which is applied in numerous health-related sector which includes the development of innovative medical procedures, the treatment of chronic diseases and the management of medical data. If a patient can recognize the disease at an early stage from the ease of home, they can start their medication sooner and consult a doctor accordingly for their treatment. This paper attempts to detect various diseases in the healthcare field such as Covid-19 and Pneumonia using Image processing technique with the help of Convolutional Neural Network, and other diseases such as Heart Disease and Diabetes using Random Forest, XGBoost, Support Vector Machine and K-Nearest Neighbour Classifiers. © 2022 IEEE.
Artificial Intelligence; Computer Vision; Convolutional Neural Networks and XGBoost; Machine Learning; Random Forest; Cardiology; Convolution; Diagnosis; Diseases; Learning systems; Nearest neighbor search; Patient treatment; Support vector machines; Chronic disease; Convolutional neural network; Convolutional neural network and xgboost; Heart disease; Image processing technique; Machine-learning; Medical data; Medical procedures; Random forests; Support vectors machine; Convolutional neural networks
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022
Year:
2022
Document Type:
Article
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