Clinical applications of artificial intelligence—an updated overview
Artificial intelligence has the potential to revolutionize modern society in all its aspects.
Encouraged by the variety and vast amount of data that can be gathered from patients (eg …
Encouraged by the variety and vast amount of data that can be gathered from patients (eg …
Applications of artificial intelligence in thalassemia: A comprehensive review
Thalassemia is an autosomal recessive genetic disorder that affects the beta or alpha
subunits of the hemoglobin structure. Thalassemia is classified as a hypochromic microcytic …
subunits of the hemoglobin structure. Thalassemia is classified as a hypochromic microcytic …
A new two-step ensemble learning model for improving stress prediction of automobile drivers
G Issa - The International Arab Journal of …, 2021 - research.skylineuniversity.ac.ae
Commuting when there is a significant volume of traffic congestion has been acknowledged
as one of the key factors causing stress. Significant levels of stress whilst driving are seen to …
as one of the key factors causing stress. Significant levels of stress whilst driving are seen to …
An efficient hybrid filter and evolutionary wrapper approach for sentiment analysis of various topics on Twitter
Sentiment Analysis is currently considered as one of the most attractive research topics in
Natural Language Processing (NLP) field. The main objective of sentiment analysis is to …
Natural Language Processing (NLP) field. The main objective of sentiment analysis is to …
Effectiveness of ideological and political education reform in universities based on data mining artificial intelligence technology
H ** review
Introduction Rare diseases affect approximately 350 million people worldwide. Delayed
diagnosis is frequent due to lack of knowledge of most clinicians and a small number of …
diagnosis is frequent due to lack of knowledge of most clinicians and a small number of …
[HTML][HTML] Performance analysis of machine learning algorithms and screening formulae for β–thalassemia trait screening of Indian antenatal women
Background Currently, more than forty discrimination formulae based on red blood cell
(RBC) parameters and some supervised machine learning algorithms (MLAs) have been …
(RBC) parameters and some supervised machine learning algorithms (MLAs) have been …
Salp chain-based optimization of support vector machines and feature weighting for medical diagnostic information systems
Nowadays, medical diagnosis based on machine learning is an essential, active, and
interdisciplinary research area. Making smart diagnosis and decision support systems have …
interdisciplinary research area. Making smart diagnosis and decision support systems have …
Discrimination of β-thalassemia and iron deficiency anemia through extreme learning machine and regularized extreme learning machine based decision support …
Abstract The symptoms of Iron Deficiency Anemia (IDA) and β-thalassemia (β-TT) disease
are similar and the distinction between them is time consuming and costly. There are several …
are similar and the distinction between them is time consuming and costly. There are several …