TY - GEN
T1 - Leveraging natural language processing of clinical narratives for phenotype modeling
AU - Raghavan, Preethi
AU - Lai, Albert M.
PY - 2010
Y1 - 2010
N2 - This paper will explore methods for effectively extracting information from clinical narratives. The proposed research will investigate the application of state of the art natural language processing techniques to clinical narratives, such as medical admission notes, discharge summaries, progress notes, and pathology reports to extract information of interest. The objective of this knowledge discovery task is the ability to generate a chronology of events, for a given patient, ultimately leading to patient cohort discovery. This in turn facilitates efficient information retrieval and enables patient specific question answering. The paper details the proposed research problem which spans across areas of information extraction, temporal relation extraction and reasoning, and machine learning with the help of two use case scenarios: 1) Automatic patient accrual for clinical trials and 2) Information retrieval over a biorepository.
AB - This paper will explore methods for effectively extracting information from clinical narratives. The proposed research will investigate the application of state of the art natural language processing techniques to clinical narratives, such as medical admission notes, discharge summaries, progress notes, and pathology reports to extract information of interest. The objective of this knowledge discovery task is the ability to generate a chronology of events, for a given patient, ultimately leading to patient cohort discovery. This in turn facilitates efficient information retrieval and enables patient specific question answering. The paper details the proposed research problem which spans across areas of information extraction, temporal relation extraction and reasoning, and machine learning with the help of two use case scenarios: 1) Automatic patient accrual for clinical trials and 2) Information retrieval over a biorepository.
KW - Clinical narratives
KW - Coreference resolution
KW - Information extraction
KW - Phenotype modeling
KW - Temporal reasoning
UR - http://www.scopus.com/inward/record.url?scp=78651283480&partnerID=8YFLogxK
U2 - 10.1145/1871902.1871913
DO - 10.1145/1871902.1871913
M3 - Conference contribution
AN - SCOPUS:78651283480
SN - 9781450303859
T3 - International Conference on Information and Knowledge Management, Proceedings
SP - 57
EP - 65
BT - Proceedings of the 3rd Workshop on Ph.D. Students in Information and Knowledge Management, PIKM'10, Co-located with 19th International Conference on Information and Knowledge Management, CIKM'10
T2 - 3rd Workshop on Ph.D. Students in Information and Knowledge Management, PIKM'10, Co-located with 19th International Conference on Information and Knowledge Management, CIKM'10
Y2 - 26 October 2010 through 30 October 2010
ER -