Heart disease prediction using distinct artificial intelligence techniques: performance analysis and comparison

MI Hossain, MH Maruf, MAR Khan, FS Prity… - Iran Journal of Computer …, 2023 - Springer
Consolidated efforts have been made to enhance the treatment and diagnosis of heart
disease due to its detrimental effects on society. As technology and medical diagnostics …

[PDF][PDF] Breast cancer disease classification using fuzzy-ID3 algorithm based on association function

NF Idris, MA Ismail, MS Mohamad… - … Journal of Artificial …, 2022 - researchgate.net
Breast cancer is the second leading cause of mortality among female cancer patients
worldwide. Early detection of breast cancer is considerd as one of the most effective ways to …

[PDF][PDF] Arabic handwritten digits recognition based on convolutional neural networks with resnet-34 model

RH Finjan, AS Rasheed, AA Hashim… - Indonesian Journal of …, 2021 - academia.edu
Handwritten digits recognition has attracted the attention of researchers in pattern
recognition fields, due to its importance in many applications in public real life, such as read …

Deep multilayer neural network with weights optimization-based genetic algorithm for predicting hypothyroid disease

FZ El-Hassani, F Fatih, NE Joudar… - Arabian Journal for …, 2023 - Springer
Accurate diagnosis and effective treatment of thyroid conditions, such as hypothyroidism and
hyperthyroidism, are crucial due to their wide-ranging symptoms and consequences …

Expanded and filtered features based ELM model for thyroid disease classification

K Juneja - Wireless Personal Communications, 2022 - Springer
Thyroid disorder affects the regulation of various metabolic processes throughout the human
body. Structural and functional disorders can affect the body and the brain. The computer …

Genetic factor analysis for an early diagnosis of autism through machine learning

AC Kumar, JA John, M Raja, P Vijaya - Data science for genomics, 2023 - Elsevier
Instances of autism spectrum disorder (ASD) in children are not uncommon. In fact, it is one
of the most prevalent neurologic diseases in leading nations of the world. Around 1 out of …

Stability of classification performance on an adaptive neuro fuzzy inference system for disease complication prediction

S Kusumadewi, L Rosita… - … International Journal of …, 2023 - search.proquest.com
It is crucial to detect disease complications caused by metabolic syndromes early. High
cholesterol, high glucose, and high blood pressure are indicators of metabolic syndrome …

Cardiovascular (Heart) Diseases Prediction using Deep Learning Neural Network Model

OCB Omankwu, MC Okoronkwo… - NIPES-Journal of …, 2024 - journals.nipes.org
Deep learning plays an important role in the field of medical science in solving health issues
and diagnosing various diseases. So in this paper, we will discuss cardiovascular disease …

A hybrid thyroid tumor type classification system using feature fusion, multilayer perceptron and bonobo optimization

B Shankarlal, S Dhivya, K Rajesh… - Journal of X-Ray …, 2024 - content.iospress.com
BACKGROUND: Thyroid tumor is considered to be a very rare form of cancer. But recent
researches and surveys highlight the fact that it is becoming prevalent these days because …

Hybridization of machine learning algorithm for the prediction of hypothyroid

KL Abdulwahab, R Mustapha - Science World Journal, 2023 - scienceworldjournal.org
Thyroid disease is one of the most progressive endocrine disorders in the human population
today, and prediction of this disease is a very critical task in the field of clinical data analysis …