title: A clinical research analytics toolkit for cohort study.
abstract: This paper presents a clinical informatics toolkit that can assist physicians to conduct cohort studies effectively and efficiently. The toolkit has three key features: 1) support of procedures defined in epidemiology, 2) recommendation of statistical methods in data analysis, and 3) automatic generation of research reports. On one hand, our system can help physicians control research quality by leveraging the integrated knowledge of epidemiology and medical statistics; on the other hand, it can improve productivity by reducing the complexities for physicians during their cohort studies.
authors.affiliation: IBM Research China. yuyiqin@cn.ibm.com
authors.forename: Yiqin
authors.initials: Y
authors.lastname: Yu
authors.forename: Yu
authors.initials: Y
authors.lastname: Zhu
authors.forename: Xingzhi
authors.initials: X
authors.lastname: Sun
authors.forename: Ying
authors.initials: Y
authors.lastname: Tao
authors.forename: Shuo
authors.initials: S
authors.lastname: Zhang
authors.forename: Linhao
authors.initials: L
authors.lastname: Xu
authors.forename: Yue
authors.initials: Y
authors.lastname: Pan
mesh_terms: D035843:Biomedical Research / Q000379:methods*; D002681:China; D015331:Cohort Studies; D016208:Databases, Factual; D004282:Documentation / Q000379:methods*; D057286:Electronic Health Records; D016247:Information Storage and Retrieval; D012984:Software; D014584:User-Computer Interface