AI Medical Compendium Topic:
Delivery of Health Care

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Multi-Step Hourly Power Consumption Forecasting in a Healthcare Building with Recurrent Neural Networks and Empirical Mode Decomposition.

Sensors (Basel, Switzerland)
Short-term forecasting of electric energy consumption has become a critical issue for companies selling and buying electricity because of the fluctuating and rising trend of its price. Forecasting tools based on Artificial Intelligence have proved to...

COVID-19 Spatio-Temporal Evolution Using Deep Learning at a European Level.

Sensors (Basel, Switzerland)
COVID-19 evolution imposes significant challenges for the European healthcare system. The heterogeneous spread of the pandemic within EU regions elicited a wide range of policies, such as school closure, transport restrictions, etc. However, the impl...

Integrated Blockchain-Deep Learning Approach for Analyzing the Electronic Health Records Recommender System.

Frontiers in public health
Blockchain is a recent revolutionary technology primarily associated with cryptocurrencies. It has many unique features including its acting as a decentralized, immutable, shared, and distributed ledger. Blockchain can store all types of data with be...

Review of Artificial Intelligence Techniques in Chronic Obstructive Lung Disease.

IEEE journal of biomedical and health informatics
BACKGROUND: Artificial Intelligence (AI) has proven to be an invaluable asset in the healthcare domain, where massive amounts of data are produced. Chronic Obstructive Pulmonary Disease (COPD) is a heterogeneous chronic condition with multiscale mani...

Preserving the Privacy of Healthcare Data over Social Networks Using Machine Learning.

Computational intelligence and neuroscience
A key challenge in clinical recommendation systems is the problem of aberrant patient profiles in social networks. As a result of a person's abnormal profile, numerous vests might be used to make fake remarks about them, cyber bullying, or cyber-atta...

Improving the Accuracy of Ensemble Machine Learning Classification Models Using a Novel Bit-Fusion Algorithm for Healthcare AI Systems.

Frontiers in public health
Healthcare AI systems exclusively employ classification models for disease detection. However, with the recent research advances into this arena, it has been observed that single classification models have achieved limited accuracy in some cases. Emp...

Perspectives of Patients About Artificial Intelligence in Health Care.

JAMA network open
This survey study describes the results of a nationally representative survey on artificial intelligence use in health care delivery.

Analysis of Psychological Changes and Intervention Mechanism of Elderly Groups Based on Deep Learning Analysis Technology.

Computational intelligence and neuroscience
The elderly group is a unique social phenomenon in China. This study analyzes the typology of psychological changes in the elderly group based on the analysis of deep learning techniques and also combines crisis intervention theory to study the inter...

Federated Learning in Medical Imaging: Part I: Toward Multicentral Health Care Ecosystems.

Journal of the American College of Radiology : JACR
With recent developments in medical imaging facilities, extensive medical imaging data are produced every day. This increasing amount of data provides an opportunity for researchers to develop data-driven methods and deliver better health care. Howev...