[HTML][HTML] Machine learning-based pressure ulcer prediction in modular critical care data

P Šín, A Hokynková, N Marie, P Andrea, R Krč… - diagnostics, 2022 - mdpi.com
Increasingly available open medical and health datasets encourage data-driven research
with a promise of improving patient care through knowledge discovery and algorithm …

[HTML][HTML] Health insurance fraud detection based on multi-channel heterogeneous graph structure learning

B Hong, P Lu, H Xu, J Lu, K Lin, F Yang - Heliyon, 2024 - cell.com
Health insurance fraud is becoming more common and impacting the fairness and
sustainability of the health insurance system. Traditional health insurance fraud detection …

Detection of undeserved sick leaves in hospitals using machine learning techniques

S Brahimi, M El Hussein, A Al-Reedy - Sustainable Computing: Informatics …, 2022 - Elsevier
Abstract Artificial intelligence and Machine Learning are nowadays playing an important role
in improving medical services. One of the services which needs the dedication of such …

Smart Health Care: From IoT to AIoT

S Srithar, V Elangovan, V Vignesh… - Self-Powered AIoT …, 2025 - taylorfrancis.com
Due to population growth, quality assurance in healthcare infrastructure becomes a
challenging task. Nowadays, the technology such as the Internet of Things (IoT) is widely …

[PDF][PDF] A Comparative Analysis for Identifying the Fraudulent Healthcare Claims

PN Jyothi, MV Ramana, S Suresh - 2023 - researchgate.net
Medical expenses have sharply increased in recent times, primarily due to the rise in the
elderly population. To effectively manage resources for all groups of people, health …

[PDF][PDF] A Comprehensive Evaluation of Machine Learning Approaches for Breast Cancer Categorization

VS Gullipalli, K Hemanvitha, PN Jyothi - 2023 - researchgate.net
Breast cancer is the most common disease among women. There were approximately 2,
00,000 deaths from breast cancer worldwide in 2022. As we progress to 2023, an even more …