Guest Editorial Insights of Machine Learning into Medical Decision Making Systems: From Research to Practice
G Muhammad, F Sattar, Z Ali - IEEE Journal of Biomedical and …, 2024 - ieeexplore.ieee.org
Machine learning approaches, formerly utilized for making informed decisions, are now
essential for incorporating into intelligent healthcare systems. Reliability is crucial for …
essential for incorporating into intelligent healthcare systems. Reliability is crucial for …
The Evolution of Non-invasive Hemoglobin Measurement with IoT and AI-Based Optical Sensors
Hemoglobin measurement has significantly evolved with the integration of IoT and artificial
intelligence (AI) technologies. This paper presents the evolution of non-invasive hemoglobin …
intelligence (AI) technologies. This paper presents the evolution of non-invasive hemoglobin …
Modelling Activities of Daily Living Using Local Interpretable Model-Agnostic Explanation Algorithm
H Onyekwe, I Ekerete… - 2024 35th Irish …, 2024 - ieeexplore.ieee.org
The use of Artificial Intelligence (AI) in healthcare, particularly in recognising anomalous
behaviour during Activities of Daily Living (ADLs), is useful for supporting independent …
behaviour during Activities of Daily Living (ADLs), is useful for supporting independent …
Machine learning insights into regional dynamics and prevalence of COVID-19 variants in US health and human services regions
L Hu, X Zhang, F D'Souza - Discover Public Health, 2024 - Springer
Background The COVID-19 pandemic arising from the emergence of SARS-CoV-2 in late
2019 has led to global devastation with millions of lives lost by January 2024. Despite the …
2019 has led to global devastation with millions of lives lost by January 2024. Despite the …
Design of an Improved Model Integrating Deep Autoencoders, Hierarchical Attention, and Graph Convolutional Networks for Advanced Medical Decision Support
P Deshmukh, M Deshpande… - Hierarchical Attention, and …, 2024 - papers.ssrn.com
With high complexity in the clinical data being captured today in light of the medical field's
growing need for strong disease predictions and the treatment recommendations associated …
growing need for strong disease predictions and the treatment recommendations associated …
[PDF][PDF] Towards Transparent Diabetes Prediction: Unveiling the Factors with Explainable AI
TQ Vinh, H Byeon - researchgate.net
Automatic diabetes prediction using machine learning and Explainable AI (XAI) has
emerged as a promising approach for early detection and improved patient outcomes. This …
emerged as a promising approach for early detection and improved patient outcomes. This …