Artificial intelligence can assist providers in a variety of patient care and intelligent health
systems. Artificial intelligence techniques ranging from machine learning to deep learning …

Deep learning models are efficient in learning the features that assist in understanding
complex patterns precisely. This study proposed a computerized process of classifying skin …

Background: Machine learning (ML), a subset of artificial intelligence (AI) that aims to teach
machines to automatically learn tasks by inferring patterns from data, holds significant …

Motivation Understanding the mechanisms and structural mappings between molecules and
pathway classes are critical for design of reaction predictors for synthesizing new molecules …

EAI Endorsed Transactions Imbalanced Multiclass Medical Data Classification based on
Learning Automata and Neural Network Page 1 EAI Endorsed Transactions AI and Robotics …

Thyroid disease is spreading very rapidly among women after the age of 30 years.
Therefore, it is necessary to examine the thyroid dataset for predicting the disease at early …

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 …

Deep learning models have been deployed in an increasing number of edge and mobile
devices to provide healthcare. These models rely on training with a tremendous amount of …

The skin, which has seven layers, is the main human organ and external barrier. According
to the World Health Organization (WHO), skin cancer is the fourth leading cause of non-fatal …

This article reviewed current advancements in mechanobiology (MB) and its applications to
investigate human tissue (soft and hard) using machine learning (ML) techniques. The study …