Читать книгу Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics - Группа авторов - Страница 39

The use of big data analytics in medicine and healthcare is incredibly powerful, productive, interesting, and diverse. It integrates heterogeneous data like medical records, experimental, electronic health, and social data in order to explore the relations among the different characteristics and traces of data points like diagnoses and medication dosages, along with information such as public chatter to derive conclusions about outcomes. More diverse data needs to be combined into big data analysis, such as biosciences, sensor informatics, medical informatics, bioinformatics, and health computational biomedicine to get the truth out of its information.