Big data applications introduce new openings to establish new information and produce new methods to advance the worth of healthcare. In this paper, review and examine big data applications in different major biomedical sub-disciplines such as bioinformatics, clinical, imaging and public healthcare applications. Big data analytical tools perform the key part in their task for mining hidden behavioural and emotional patterns in messages, or tweets. The behavioural patterns of the users can understand more about their hidden emotions and sentiments. Further, the neural network can predict the likelihood of developing psychological conditions, such as anxiety, depression, behavioural disorder and post-traumatic stress. This is also shows that integrating variety of sources of data enables medical practitioner to show a novel investigation of patient care processes, availability of new mobile health technologies aid real-time data collection, implementation of distributed platforms enables data archiving and analysis.
Volume 11 | 09-Special Issue
Pages: 294-298
DOI: 10.5373/JARDCS/V11/20192570