Implementation of machine learning techniques for disease diagnosis

S Mall, A Srivastava, BD Mazumdar, M Mishra… - Materials Today …, 2022 - Elsevier
Recently, data mining and machine learning techniques have found widespread use in the
field of healthcare. The objective of this study is to develop an automated method for …

Major applications of data mining in medical

AA Shaikh, AN Doss, M Subramanian, V Jain… - Materials Today …, 2022 - Elsevier
Now-a-days, technology is required in every field of our lives. Technology is increasing day-
by-day. In this research, I'll collect some useful data that demonstrates how data-mining is …

Machine learning based health monitoring system

KG Sheela, AR Varghese - Materials Today: Proceedings, 2020 - Elsevier
The research work aim to develop a Smart Health Monitoring System with machine learning
system. It allows physicians to monitor patients at a distance and take periodic actions in …

Comparative study of regressor and classifier with decision tree using modern tools

JS Kushwah, A Kumar, S Patel, R Soni… - Materials Today …, 2022 - Elsevier
Abstract Machine Learning is one of the importantareas for modeling the data and itcan be
saidthat this is the core part of the field of Data Science. Supervised Machine Learning …

Design of healthcare system using IoT enabled application

SS Raykar, VN Shet - Materials Today: Proceedings, 2020 - Elsevier
Increase in the usage of wearable sensor nodes and advanced communication helps to
progress diagnostic methodology in improving the quality of human life. Virtual monitoring of …

By artificial intelligence algorithms and machine learning models to diagnosis cancer

S Agarwal, AS Yadav, V Dinesh, KSS Vatsav… - Materials Today …, 2023 - Elsevier
Cancer is one of the world's most critical health issues. Many in the past decade More
accurately, diagnostic tests and methodologies have been enhanced. Tests are categorised …

Machine learning algorithms for early diagnosis of diabetes mellitus: A comparative study

V Rawat, S Joshi, S Gupta, DP Singh… - Materials Today …, 2022 - Elsevier
A huge majority of people all over the globe are coping with the devastating effects of
diabetes, and many of them are not being identified early enough. Diabetes has become …

Study of fuzzy expert systems towards prediction and detection of fraud case in health care insurance

G Kalra, YK Rajoria, R Boadh, P Rajendra… - Materials Today …, 2022 - Elsevier
The size of this issue is sufficiently enormous to focus on it issue for wellbeing structures.
Unseemly installments by protection associations or outsider payers happen due to …

Development of smart health monitoring system using Internet of Things

MP Savaridass, N Ikram, R Deepika… - Materials Today …, 2021 - Elsevier
In this modern world, automation plays a vital role. It creates influences in the medical field. It
reduces human work and provides more benefits for humans. Automation provides more …

Survey of machine learning algorithms for breast cancer detection using mammogram images

G Meenalochini, S Ramkumar - Materials Today: Proceedings, 2021 - Elsevier
Breast cancer is the primary cause of death in most cancer affected women. Mammography
is one of the most dependable strategies for early detection and diagnosis of breast cancer …