IEEE

A Hybrid Deep Learning and Ensemble Approach for Nodular Goiter Diagnosis using YOLO and AdaBoost

Abstract: In the past couple of years, a sharp increase in the rates of goiter and thyroid cases all over the world has been recorded and cases have been found in all increasingly grand age groups.
Frontiers

Infectious disease prediction model based on optimized deep learning algorithm

Since 2019, the world has experienced a major outbreak of infectious disease caused by a novel coronavirus, first identified in Wuhan, Hubei Province, China. Through extensive scientific research and ...
IEEE

Hybrid Machine Learning Approach for Enhanced Heart Disease Prediction: A Multi-Classifier Consensus Model

Abstract: Heart disease remains among the major causes of deaths in the world and it accounts several deaths. Finding the cause of heart disease requires a lot of time and effort, especially for ...
GitHub

Mikecloud24/intent-classifier-model-k8s

A production-ready machine learning service for intent classification built with Python Flask and deployed on Amazon EKS (Elastic Kubernetes Service). This project demonstrates best practices for ...
Frontiers

A clinical prediction model for schizophrenia based on machine learning algorithms

Objective: To develop an auxiliary diagnostic tool for schizophrenia based on multiple test variables using different machine learning algorithms. Results: Arg, TP, ALP, HDL, UA, and LDL were ...