A Review of Artificial Intelligence, Big Data, and Blockchain Technology Applications in Medicine and Global Health

Big Data and Cognitive Computing

Supriya M.¹  Vijay Kumar Chattu² 

[1] Department of Information and Communication Engineering, Anna University, Chennai 600025, India;Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada;

关键词: big data;    blockchain;    machine learning;    artificial intelligence;    healthcare;    Alzheimer’s disease;   

DOI  :  10.3390/bdcc5030041

来源: DOAJ

【 摘 要 】

Artificial intelligence (AI) programs are applied to methods such as diagnostic procedures, treatment protocol development, patient monitoring, drug development, personalized medicine in healthcare, and outbreak predictions in global health, as in the case of the current COVID-19 pandemic. Machine learning (ML) is a field of AI that allows computers to learn and improve without being explicitly programmed. ML algorithms can also analyze large amounts of data called Big data through electronic health records for disease prevention and diagnosis. Wearable medical devices are used to continuously monitor an individual’s health status and store it in cloud computing. In the context of a newly published study, the potential benefits of sophisticated data analytics and machine learning are discussed in this review. We have conducted a literature search in all the popular databases such as Web of Science, Scopus, MEDLINE/PubMed and Google Scholar search engines. This paper describes the utilization of concepts underlying ML, big data, blockchain technology and their importance in medicine, healthcare, public health surveillance, case estimations in COVID-19 pandemic and other epidemics. The review also goes through the possible consequences and difficulties for medical practitioners and health technologists in designing futuristic models to improve the quality and well-being of human lives.

【 授权许可】

Unknown