Optimal Operational Definition of Patient with Peptic Ulcer Bleeding for Big Data Analysis Using Combination of Clinical Characteristics in a Secondary General Hospital | Zendy

Jae Won Lee | Zendy; Hyun Ki Kim | Zendy; Yong Sik Woo | Zendy; Jaehoon Jahng | Zendy; Young Ran Jin | Zendy; Jong Heon Park | Zendy; Yong Sung Kim | Zendy; HwoonYong Jung | Zendy

Open Access

Optimal Operational Definition of Patient with Peptic Ulcer Bleeding for Big Data Analysis Using Combination of Clinical Characteristics in a Secondary General Hospital

Author(s) -

Jae Won Lee,

Hyun Ki Kim,

Yong Sik Woo,

Jaehoon Jahng,

Young Ran Jin,

Jong Heon Park,

Yong Sung Kim,

HwoonYong Jung

Publication year - 2016

Publication title -

korean journal of gastroenterology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.203

H-Index - 25

eISSN - 2233-6869

pISSN - 1598-9992

DOI - 10.4166/kjg.2016.68.2.77

Subject(s) - medicine , gastrointestinal bleeding , gastroenterology , endoscopy , peptic ulcer , peptic , helicobacter pylori , upper gastrointestinal bleeding

Peptic ulcer bleeding (PUB) is the most common cause of upper gastrointestinal bleeding in Korea but there has been no research done using big data. This study evaluates the optimal operational definition (OD) for big data research by analyzing clinical characteristics of PUB.

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