Big Data in Health Care Information Systems

Dear Colleagues, 

The emergence and usage of high-throughput computing technologies and machines in the medical and biomedical domains have paved the way for the fast curation of and easy access to a vast biomedical dataset–big data. This big data is awash with a wealth of information that can be harnessed to revolutionize the healthcare information system–using various data science techniques such as deep learning, machine learning, federated learning, and continuous machine learning. Therefore, in this Special Issue, we aim to collect novel ideas on exploiting the big data available in healthcare domains to develop more robust and responsive information systems for healthcare practitioners that will enhance the delivery of quality and more effective treatments for patients. We encourage potential authors to submit papers that show how healthcare practitioners can gain new insights and knowledge from the avalanche of data available in the healthcare domain. In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:

• Application of machine learning in biomedicine;
• Application of data science to infectious disease control;
• Bioinformatics;
• Federated learning in the healthcare system;
• Medical informatics;
• Explainable ML in biomedicine;
• Artificial intelligence and precision medicine;
• Application blockchain in EHR systems;
• Deep learning in biomedicine and bioinformatics;
• AI-based applications for digital healthcare systems;
• Transfer learning in healthcare systems;
• Lifelong machine learning in healthcare information systems.

We look forward to receiving your contributions.

Dr. Oluwafemi A. Sarumi
Dr. Tobore Igbe
Dr. Halleluyah O. Aworinde
Guest Editors

Manuscript Submission Information

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