The study summarizes the emerging paradigm of big data analytics in healthcare, covers its advantages, presents an organizational structure and method, lists instances from the industry, lightly examines its drawbacks,…
read moreSmart healthcare will use a new generation of information technologies, like artificial intelligence, the internet of things (IoT), cloud computing, and big data, to transform the conventional medical system…
read moreThe data used in BHI often comes from varied sources and is subject to differences due to demographics, equipment, protocols, and more. Such variability can severely impact the performance of…
read moreIn the rapidly evolving field of bioinformatics, the integration of deep learning techniques has emerged as a powerful tool for automated diagnosis and treatment planning. The generation of massive biological…
read moreAuthor(s): Ying Fang, Greg Orekhov, Zachary F. Lerner In this issue, vol. 26, issue 6, June 2022, 5 papers are published related to the Special Issue on Augmented Reality for…
read moreAuthor(s): Ying Fang, Greg Orekhov, Zachary F. Lerner The prediction of schizophrenia-related psychopathologic deficits is exceedingly important in the fields of psychiatry and clinical practice. However, objective association of the…
read moreAuthor(s): Ying Fang, Greg Orekhov, Zachary F. Lerner Atrial Fibrillation (AF) is an important cardiac rhythm disorder, which if left untreated can lead to serious complications such as a stroke.…
read moreAuthor(s): Ying Fang, Greg Orekhov, Zachary F. Lerner In this issue, vol. 26, issue 4, April 2022, 7 papers are published related to the Special Issue on Data Analytics for…
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