A study on specialist or special disease clinics based on big data

• Published in: Frontiers of medicine Vol. 8; no. 3; pp. 376 - 381
• Main Authors: Fang, Zhuyuan, Fan, Xiaowei, Chen, Gong
• Format: Journal Article
• Language: English
• Published: Heidelberg Higher Education Press 01-09-2014; Springer Nature B.V
• Subjects: Artificial Intelligence; Big Data; Biomedical Research - methods; Biomedical Research - statistics & numerical data; clinical model; Correlation analysis; data analysis; Data Interpretation, Statistical; Hospitals, Special; Humans; integration; Letter to Frontiers of Medicine; medical information; Medicine; Medicine & Public Health; Neural networks; Specialization; 专科; 临床实践; 人工神经网络; 分布式计算技术; 医疗信息; 数据技术; 相关分析; 诊疗; correlation analysis; medical information; integration; clinical model; data analysis; big data
• ISSN: 2095-0217; 2095-0225
• DOI: 10.1007/s11684-014-0356-9

Correlation analysis and processing of massive medical information can be implemented through big data technology to find the relevance of different factors in the life cycle of a disease and to provide the basis for scientific research and clinical practice. This paper explores the concept of constructing a big medical data platform and introduces the clinical model construction. Medical data can be collected and consolidated by distributed computing technology. Through analysis technology, such as artificial neural network and grey model, a medical model can be built. Big data analysis, such as Hadoop, can be used to construct early prediction and intervention models as well as clinical decision-making model for specialist and special disease clinics. It establishes a new model for common clinical research for specialist and special disease clinics.