[PDF][PDF] Artificial intelligence in diagnosing tuberculosis: a review

SS Meraj, R Yaakob, A Azman, SNM Rum… - … Journal on Advanced …, 2019 - researchgate.net
Tuberculosis (TB) is among top ten causes of deaths worldwide. It is the single most cause
of deaths by an infectious disease and is ranked 2nd only after the HIV/AIDS. In third world …

[HTML][HTML] Impact of the fourth industrial revolution on the health sector: a qualitative study

NMF Araújo - Healthcare informatics research, 2020 - synapse.koreamed.org
Objectives The Fourth Industrial Revolution is changing the way health is understood,
transforming the methods of treatment and diagnosis as well as the relationship between …

[PDF][PDF] Use of artificial intelligence for improving patient flow and healthcare delivery

S Ellahham, N Ellahham - J. Comput. Sci. Syst. Biol, 2019 - researchgate.net
Artificial Intelligence (AI) is as a promising tool for supporting the healthcare administration
and it is fundamentally changing medicine. AI mainly refers to doctors and hospitals …

An efficient system for heart disease prediction using hybrid OFBAT with rule-based fuzzy logic model

GT Reddy, N Khare - Journal of Circuits, Systems and Computers, 2017 - World Scientific
The objective of the work is to predict heart disease using computing techniques like an
oppositional firefly with BAT and rule-based fuzzy logic (RBFL). The system would help the …

Machine learning approach for the early prediction of the risk of overweight and obesity in young people

B Singh, H Tawfik - Computational Science–ICCS 2020: 20th International …, 2020 - Springer
Obesity is a major global concern with more than 2.1 billion people overweight or obese
worldwide which amounts to almost 30% of the global population. If the current trend …

A web based decision support system driven by fuzzy logic for the diagnosis of typhoid fever

OW Samuel, MO Omisore, BA Ojokoh - Expert Systems with Applications, 2013 - Elsevier
Research has identified Typhoid Fever (TF) as the major cause of morbidity and mortality in
most developing countries. The diagnosis of TF involves several variables which usually …

Heart disease classification system using optimised fuzzy rule based algorithm

GT Reddy, N Khare - International Journal of Biomedical …, 2018 - inderscienceonline.com
Heart disease prediction and identification is a difficult task which needs much experience
and knowledge. In order to predict the heart disease, we introduce a technique named as …

A decision support system for multi-target disease diagnosis: A bioinformatics approach

FE Ayo, JB Awotunde, RO Ogundokun, SO Folorunso… - Heliyon, 2020 - cell.com
Malaria and typhoid fever are revered for their ability to individually or jointly cause high
mortality rate. Both malaria and typhoid fever have similar symptoms and are famous for …

Adoption of machine learning for medical diagnosis

MY Shaheen - ScienceOpen preprints, 2021 - scienceopen.com
The healthcare industry has historically been an early adopter of technology advancements
and has reaped significant benefits. Machine learning (an artificial intelligence subset) is …

Medical diagnosis with the aid of using fuzzy logic and intuitionistic fuzzy logic

S Das, D Guha, B Dutta - Applied Intelligence, 2016 - Springer
The objective of the present study is to develop/establish a web-based medical diagnostic
support system (MDSS) by which health care support can be provided for people living in …