Big Data in Medical Research and Application

• Main Authors: Yilin Teng, Gaofang Cao, Rui Wang
• Format: Article
• Language: English
• Published: EDP Sciences 2018-01-01
• Series: MATEC Web of Conferences
• Online Access: https://doi.org/10.1051/matecconf/201817603017

With the advanced instruments and information technology integrated in biomedical science more and more extensively, the advent of the big data era has had a significant impact on biomedical research, making human awareness of themselves and diseases more profound. The future medicine tends to combine data and medicine, to master gene database and medical human disease data, then to apply data statistics and analysis and application in healthcare. New techniques of big data in medicine are bound to make medical research and application more predictable. This paper introduces the main sources and characteristics of medical big data, points out the necessity of big data research in medical field, summarizes the current research in medical big data and its application in disease prediction, clinical assistance and pharmaceutical research and development. In other aspects, it analyses the problems of medical big data in applied research.