Heart disease prediction using distinct artificial intelligence techniques: performance analysis and comparison
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 …
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
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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
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 …
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 …
today, and prediction of this disease is a very critical task in the field of clinical data analysis …