Arrhythmia Detection Based on New Multi-Model Technique for ECG Inter-Patient Classification.

ZC Oleiwi, EN AlShemmary… - International Journal of …, 2023 - search.ebscohost.com
This paper presents a novel model for arrhythmia detection based on a cascading technique
that utilizes a combination of the One-Sided Selection (OSS) method, Support Vector …

Detection of Human Stress Using Optimized Feature Selection and Classification in ECG Signals.

M Vellaisamy, LI Freitas - Mathematical Problems in …, 2023 - search.ebscohost.com
An autonomic nervous system (ANS) of humans is majorly affected by psychological stress.
The changes in ANS may cause several chronic diseases in humans. The …

Development of a Wearable Diagnostic and Therapeutic Device for Hypo and Hyperthermic Patients

K Gowrishankar, MR Rashmi… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Hypothermia and hyperthermia are body temperature related issues. Abnormal high body
temperature is known as hyperthermia and if body is too cold it is hypothermia. These …

A Learning Health-Care System for Improving Renal Health Services in Peru Using Data Analytics

V Mita, L Castillo, JL Castillo-Sequera, L Wong - 2023 - repositorioacademico.upc.edu.pe
The health sector around the world faces the continuous challenge of improving the services
provided to patients. Therefore, digital transformation in health services plays a key role in …

[PDF][PDF] Heart Diseases Diagnosis System Using Multi_Methods Machine Learning

ZC Oleiwi - 2023 - researchgate.net
Heart disease is a severe illness that can be challenging to diagnose manually. Faster and
more precise artificial intelligence models can help diagnose it early. In this work, different …