Study of fuzzy expert system for the diagnosis of various types of cancer

R Boadh, R Grover, M Dahiya, A Kumar… - Materials Today …, 2022 - Elsevier
Early exposure of critical diseases is the main necessity for the patients and a difficult errand
for the oncologist. In the event that it is distinguished early, it makes the patient bound to live …

Study and prediction of prostate cancer using fuzzy inference system

R Boadh, DD Aarya, M Dahiya, R Rathee… - Materials Today …, 2022 - Elsevier
The essential driver of passing among men on the planet is prostate disease. In the chief
stage, for early identification of the prostate disease by applying Fuzzy Inference System …

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 …

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 …

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 …

Analysis and investigation of fuzzy expert system for predicting the child anaemia

R Boadh, K Chaudhary, M Dahiya, N Dogra… - Materials Today …, 2022 - Elsevier
In this article, the fuzzy expert system has been dealing with and is involved in the analysis
of childhood anaemia (erythrocytopenia). Recent studies on fuzzy set theory and fuzzy logic …

Fuzzy logics associated with neural networks in the real time for better world

GP Reddy, Y Deepika, KS Prasad, GK Kumar - Materials Today …, 2017 - Elsevier
According to the science and technology a neural network is a computer system modeled on
the human brain and nervous system. Neural network model represent complex input/output …

Artificial intelligence in medical Imaging: An analysis of innovative technique and its future promise

P Asha, P Srivani, AAA Ahmed, A Kolhe… - Materials Today …, 2022 - Elsevier
Artificial Intelligence has captivated the medical industry as this innovative strategic analytic
has become accurate and widely applicable to various tasks in the healthcare industry. It is …

Medical diagnosis system using fuzzy logic

JB Awotunde, OE Matiluko… - African Journal of …, 2014 - eprints.lmu.edu.ng
One of the major problems that both the developed and under-developed countries are
facing is the difficulties of treating illhealth people. There is shortage of medical expertise in …

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 …