Revolutionary Point‐of‐Care Wearable Diagnostics for Early Disease Detection and Biomarker Discovery through Intelligent Technologies

F Haghayegh, A Norouziazad, E Haghani… - Advanced …, 2024 - Wiley Online Library
Early‐stage disease detection, particularly in Point‐Of‐Care (POC) wearable formats,
assumes pivotal role in advancing healthcare services and precision‐medicine. Public …

Stroke risk prediction with machine learning techniques

E Dritsas, M Trigka - Sensors, 2022 - mdpi.com
A stroke is caused when blood flow to a part of the brain is stopped abruptly. Without the
blood supply, the brain cells gradually die, and disability occurs depending on the area of …

[HTML][HTML] Lung cancer risk prediction with machine learning models

E Dritsas, M Trigka - Big Data and Cognitive Computing, 2022 - mdpi.com
The lungs are the center of breath control and ensure that every cell in the body receives
oxygen. At the same time, they filter the air to prevent the entry of useless substances and …

[HTML][HTML] Machine learning techniques for chronic kidney disease risk prediction

E Dritsas, M Trigka - Big Data and Cognitive Computing, 2022 - mdpi.com
Chronic kidney disease (CKD) is a condition characterized by progressive loss of kidney
function over time. It describes a clinical entity that causes kidney damage and affects the …

Efficient data-driven machine learning models for cardiovascular diseases risk prediction

E Dritsas, M Trigka - Sensors, 2023 - mdpi.com
Cardiovascular diseases (CVDs) are now the leading cause of death, as the quality of life
and human habits have changed significantly. CVDs are accompanied by various …

Supervised machine learning models for liver disease risk prediction

E Dritsas, M Trigka - Computers, 2023 - mdpi.com
The liver constitutes the largest gland in the human body and performs many different
functions. It processes what a person eats and drinks and converts food into nutrients that …

[HTML][HTML] Data-driven machine-learning methods for diabetes risk prediction

E Dritsas, M Trigka - Sensors, 2022 - mdpi.com
Diabetes mellitus is a chronic condition characterized by a disturbance in the metabolism of
carbohydrates, fats and proteins. The most characteristic disorder in all forms of diabetes is …

Long-term coronary artery disease risk prediction with machine learning models

M Trigka, E Dritsas - Sensors, 2023 - mdpi.com
The heart is the most vital organ of the human body; thus, its improper functioning has a
significant impact on human life. Coronary artery disease (CAD) is a disease of the coronary …

[PDF][PDF] A systematic review on IoT and machine learning algorithms in e-healthcare

D Tenepalli, N TM - International Journal of Computing and Digital …, 2024 - researchgate.net
In recent years, the Internet of Things (IoT) has been adopted in many applications since its
usage is essential to daily life. Also, it is a develo** technology in the healthcare system to …

Fractional chef based optimization algorithm trained deep learning for cardiovascular risk prediction using retinal fundus images

TR Kumar, V Enireddy, KK Selvi, M Shahid… - … Signal Processing and …, 2024 - Elsevier
The modern healthcare system has been linked to quicker growth as well as the capacity to
transform the medical data for predicting the significant healthcare policy that facilitate timely …