[Retracted] A Systematic Literature Review on Particle Swarm Optimization Techniques for Medical Diseases Detection

S Pervaiz, Z Ul-Qayyum, WH Bangyal… - … Methods in Medicine, 2021 - Wiley Online Library
Artificial Intelligence (AI) is the domain of computer science that focuses on the development
of machines that operate like humans. In the field of AI, medical disease detection is an …

[HTML][HTML] IntelliHealth: a medical decision support application using a novel weighted multi-layer classifier ensemble framework

S Bashir, U Qamar, FH Khan - Journal of biomedical informatics, 2016 - Elsevier
Accuracy plays a vital role in the medical field as it concerns with the life of an individual.
Extensive research has been conducted on disease classification and prediction using …

The classification of medical and botanical data through majority voting using artificial neural network

K Tripathi, FA Khan, AMUD Khanday… - International Journal of …, 2023 - Springer
Data classification has many approaches in data mining and machine learning. The artificial
neural network (ANN) is applied to classify the data that might belong to various domains …

A literature review on current approaches and applications of fuzzy expert systems

M Rajabi, S Hossani, F Dehghani - arxiv preprint arxiv:1909.08794, 2019 - arxiv.org
The main purposes of this study are to distinguish the trends of research in publication exits
for the utilisations of the fuzzy expert and knowledge-based systems that is done based on …

HMV: A medical decision support framework using multi-layer classifiers for disease prediction

S Bashir, U Qamar, FH Khan, L Naseem - Journal of Computational …, 2016 - Elsevier
Decision support is a crucial function for decision makers in many industries. Typically,
Decision Support Systems (DSS) help decision-makers to gather and interpret information …

A systematic method for diagnosis of hepatitis disease using machine learning

RK Sachdeva, P Bathla, P Rani, V Solanki… - Innovations in Systems …, 2023 - Springer
Hepatitis is among the deadliest diseases on the planet. Machine learning approaches can
contribute toward diagnosing hepatitis disease based on a few characteristics. On the UCI …

A novel hybrid algorithm for aiding prediction of prognosis in patients with hepatitis

L Parisi, N RaviChandran, ML Manaog - Neural Computing and …, 2020 - Springer
This study investigated the application of a novel hybrid artificial intelligence (AI)-based
classifier for aiding prediction of the prognosis in patients with chronic hepatitis. Nineteen …

RETRACTED ARTICLE: Covering-based rough set classification system

S Senthil Kumar, H Hannah Inbarani, AT Azar… - Neural Computing and …, 2017 - Springer
Medical data classification is applied in intelligent medical decision support system to
classify diseases into different categories. Several classification methods are commonly …

Medical image fusion based on hybrid intelligence

CT Kavitha, C Chellamuthu - Applied Soft Computing, 2014 - Elsevier
Medical image fusion combines complementary images from different modalities for proper
diagnosis and surgical planning. A new approach for medical image fusion based on the …

Swarm intelligence and data mining: a review of literature and applications in healthcare

N Nayar, S Ahuja, S Jain - … of the third international conference on …, 2019 - dl.acm.org
Healthcare industry is evolving at a rapid pace across the world. Substantial amount of
heterogeneous data is generated by healthcare industry. It is crucial for healthcare …