TY - CHAP
T1 - Mining Medical Administrative Data - The PKB Suite
AU - Ceglar, Aaron
AU - Morrall, Richard
AU - Roddick, John
PY - 2010
Y1 - 2010
N2 - Hospitals are adept at capturing large volumes of highly multi-dimensional data about their activities including clinical, demographic, administrative, financial and, increasingly, outcome data (such as adverse events). Managing and understanding this data is difficult as hospitals typically do not have the staff and/or the expertise to assemble, query, analyse and report on the potential knowledge contained within such data. The Power Knowledge Builder (PKB) project investigated the adaption of data mining algorithms to the domain of patient costing, with the aim of helping practitioners better understand their data and therefore facilitate best practice.
AB - Hospitals are adept at capturing large volumes of highly multi-dimensional data about their activities including clinical, demographic, administrative, financial and, increasingly, outcome data (such as adverse events). Managing and understanding this data is difficult as hospitals typically do not have the staff and/or the expertise to assemble, query, analyse and report on the potential knowledge contained within such data. The Power Knowledge Builder (PKB) project investigated the adaption of data mining algorithms to the domain of patient costing, with the aim of helping practitioners better understand their data and therefore facilitate best practice.
KW - Medical Knowledge Discovery
KW - PKB
UR - http://www.scopus.com/inward/record.url?scp=78049239144&partnerID=8YFLogxK
U2 - 10.3233/978-1-60750-633-1-110
DO - 10.3233/978-1-60750-633-1-110
M3 - Chapter
SN - 9781607506324
VL - 218
T3 - Frontiers in Artificial Intelligence and Applications
SP - 110
EP - 119
BT - Data Mining for Business Applications, Frontiers in Artificial Intelligence and Applications
PB - IOS Press
ER -