TY - JOUR
T1 - Mining and Visualizing Family History Associations in the Electronic Health Record
T2 - A Case Study for Pediatric Asthma
AU - Chen, Elizabeth S.
AU - Melton, Genevieve B.
AU - Wasserman, Richard C.
AU - Rosenau, Paul T.
AU - Howard, Diantha B.
AU - Sarkar, Indra Neil
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Asthma is the most common chronic childhood disease and has seen increasing prevalence worldwide. While there is existing evidence of familial and other risk factors for pediatric asthma, there is a need for further studies to explore and understand interactions among these risk factors. The goal of this study was to develop an approach for mining, visualizing, and evaluating association rules representing pairwise interactions among potential familial risk factors based on information documented as part of a patient's family history in the electronic health record. As a case study, 10,260 structured family history entries for a cohort of 1,531 pediatric asthma patients were extracted and analyzed to generate family history associations at different levels of granularity. The preliminary results highlight the potential of this approach for validating known knowledge and suggesting opportunities for further investigation that may contribute to improving prediction of asthma risk in children.
AB - Asthma is the most common chronic childhood disease and has seen increasing prevalence worldwide. While there is existing evidence of familial and other risk factors for pediatric asthma, there is a need for further studies to explore and understand interactions among these risk factors. The goal of this study was to develop an approach for mining, visualizing, and evaluating association rules representing pairwise interactions among potential familial risk factors based on information documented as part of a patient's family history in the electronic health record. As a case study, 10,260 structured family history entries for a cohort of 1,531 pediatric asthma patients were extracted and analyzed to generate family history associations at different levels of granularity. The preliminary results highlight the potential of this approach for validating known knowledge and suggesting opportunities for further investigation that may contribute to improving prediction of asthma risk in children.
UR - http://www.scopus.com/inward/record.url?scp=85011772049&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85011772049&partnerID=8YFLogxK
M3 - Article
C2 - 26958171
AN - SCOPUS:85011772049
SN - 1559-4076
VL - 2015
SP - 396
EP - 405
JO - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
JF - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
ER -