Application of data mining techniques and data analysis methods to measure cancer morbidity and mortality data in a regional cancer registry: The case of the island …

I Varlamis, I Apostolakis, D Sifaki-Pistolla, N Dey… - Computer methods and …, 2017 - Elsevier
Abstract Background and Objective Micro or macro-level mapping of cancer statistics is a
challenging task that requires long-term planning, prospective studies and continuous …

Intelligent diagnosis system of hepatitis C virus: A probabilistic neural network based approach

PV Terlapu, SB Gedela, VK Gangu… - International Journal of …, 2022 - Wiley Online Library
In recent years, early detection of hepatitis C virus (HCV) disease has been a vital task in the
medical science field. HCV became the main health concern to the public, as it was noticed …

An intelligent framework for modelling and simulation of artificial neural networks (ANNs) based on augmented reality

D Mourtzis, J Angelopoulos - The International Journal of Advanced …, 2020 - Springer
The digitalization of industry is targeting at the integration of artificial intelligence (AI) in
manufacturing systems, for delivering intelligent machinery. Although AI seems a long-term …

Supervised learning technique for prediction of diseases

B Yadav, S Sharma, A Kalra - … and Devices: Proceedings of ICICCD 2017, 2018 - Springer
Lifestyle of a human being is changing day by day and leads human being to an unhealthy
life. Apart from the routine exercise and healthy food, the health monitoring at a regular …

A review of smart methods in diagnosing and predicting liver diseases using machine learning techniques and meta-heuristic algorithms

W Aminiazar, R Farahi… - Arman Process …, 2023 - armanprocessjournal.ir
One of the most important problems in the world is the increase in costs in the field of health.
One of the important research in recent years to reduce these costs is the prediction of …