A voting-based machine learning approach for classifying biological and clinical datasets

NHN Daneshvar, Y Masoudi-Sobhanzadeh, Y Omidi - BMC bioinformatics, 2023 - Springer
Background Different machine learning techniques have been proposed to classify a wide
range of biological/clinical data. Given the practicability of these approaches accordingly …

[HTML][HTML] Investigations on meta-heuristic algorithms for intelligent speed regulation of mobile robot

S Sachan, P Swarnkar - Results in Control and Optimization, 2023 - Elsevier
With technical advances in robotics and technology, mobile robots (MRs) have become
more significant in medical applications that require great subtlety, accuracy and efficiency …

BIBHU: Biomarker identification using bio-inspired evolutionary hybrid unique machine learning model

B Sahu, S Dash - 2023 World Conference on Communication & …, 2023 - ieeexplore.ieee.org
The Firefly algorithm (FA) is one of the most efficient optimization algorithms proposed
according to the attraction and flashing characteristics of the firefly. FA generated the …

Clinical Dataset Classification Using Feature Ranking And Satin Bower Bird Optimized SVMs

N KS, K Nehemiah H, NY Jane… - The Computer …, 2024 - academic.oup.com
A clinical decision support system is a computer-based system that is designed to assist
healthcare providers with clinical decision-making by analyzing electronic health records …

Use Harris Hawks Optimization (HHO) Algorithm based on Artificial Neural Network for liver disease diagnosis

H Alsafi, H Alsalihi, J Munilla - Proceedings of International …, 2024 - proceedings.icisna.org
This research paper presents a new method for diagnosing liver disease using the Harris
Hawks Optimization (HHO) algorithm in combination with an Artificial Neural Network (ANN) …