Machine learning empowering laboratory medicine

Abstract

Traditional data storage strategy has not capacity to meet analytical needs of medical big data possessing with mixed structure and high-dimensional features. Machine learning based on algorithms that generate models in the data is becoming an innovative source of intelligent data analysis technology in computer simulation of human learning. This paper gives an introduction to the development of machine learning and its current background of medical big data. Emphases are placed on applications of machine learning in the medical image recognition, automated validation for test reports, Chinese medical language processing and computer-aided diagnosis. The opportunities and challenges to the development of laboratory medicine which taken from machine learning worth focusing.(Chin J Lab Med, 2018, 41: 627-630) Key words: Machine learning; Medical laboratory science; Medical informatics applications; Pattern recognition, automated