An automated technique for identifying associations between medications, laboratory results and problems

Weed, 1968, Medical records that guide and teach, N Engl J Med, 278, 652, 10.1056/NEJM196803212781204

Certification Commission for Healthcare Information Technology. CCHIT 2009–2010 Ambulatory EHR. 2009 [cited 2009 June 23]; Available from: <http://www.cchit.org/files/certification/09/Ambulatory/CCHITCriteriaAMBULATORY2009-2010Final.pdf/>.

Hartung, 2005, Clinical implications of an accurate problem list on heart failure treatment, J Gen Intern Med, 20, 143, 10.1111/j.1525-1497.2005.40206.x

Wright, 2007, A description and functional taxonomy of rule-based decision support content at a large integrated delivery network, J Am Med Inform Assoc, 14, 489, 10.1197/jamia.M2364

Szeto, 2002, Accuracy of computerized outpatient diagnoses in a Veterans Affairs general medicine clinic, Am J Manage Care, 8, 37

Burton, 2008, Medication and indication linkage: a practical therapy for the problem list?, Proc AMIA Symp, 86

Carpenter, 2002, Using medication list–problem list mismatches as markers of potential error, Proc AMIA Symp, 106

Lin, 2008, Exploiting missing clinical data in Bayesian network modeling for predicting medical problems, J Biomed Inform, 41, 1, 10.1016/j.jbi.2007.06.001

Poissant, 2005, Preliminary validation of an automated health problem list, Proc AMIA Symp, 1084

Aronson, 2001, Effective mapping of biomedical text to the UMLS metathesaurus: the MetaMap program, Proc AMIA Annu Symp, 17

Chapman, 2001, A simple algorithm for identifying negated findings and diseases in discharge summaries, J Biomed Inform, 34, 301, 10.1006/jbin.2001.1029

Meystre, 2006, Natural language processing to extract medical problems from electronic clinical documents: performance evaluation, J Biomed Inform, 39, 589, 10.1016/j.jbi.2005.11.004

Meystre, 2008, Randomized controlled trial of an automated problem list with improved sensitivity, Int J Med Inform, 77, 602, 10.1016/j.ijmedinf.2007.12.001

Jao, 2008, Automating the maintenance of problem list documentation using a clinical decision support system, Proc AMIA Symp, 989

Goethals B. Survey on frequent pattern mining. 2003 [cited 2009 June 15]; Available from: <http://www.cs.helsinki.fi/u/goethals/publications/>.

Sarawagi, 2000, Integrating association rule mining with relational database systems: alternatives and implications, Data Mining Knowledge Discov, 4, 89, 10.1023/A:1009887712954

Iskander, 2006, Data mining in the US using the vaccine adverse event reporting system, Drug Saf, 29, 375, 10.2165/00002018-200629050-00002

Carrino, 2005, Development of radiology prediction models using feature analysis, Acad Radiol, 12, 415, 10.1016/j.acra.2005.01.009

Kohavi, 2004, Lessons and challenges from mining retail e-commerce data, Mach Learn, 57, 83, 10.1023/B:MACH.0000035473.11134.83

Cao, 2005, Mining a clinical data warehouse to discover disease-finding associations using co-occurrence statistics, Proc AMIA Symp, 106

Wang, 2009, Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study, J Am Med Inform Assoc, 16, 328, 10.1197/jamia.M3028

Mullins, 2006, Data mining and clinical data repositories: insights from a 667, 000 patient data set, Comput Biol Med, 36, 1351, 10.1016/j.compbiomed.2005.08.003

Brossette, 1998, Association rules and data mining in hospital infection control and public health surveillance, J Am Med Inform Assoc, 5, 373, 10.1136/jamia.1998.0050373

Doddi, 2001, Discovery of association rules in medical data, Medical informatics and the Internet in medicine, 26, 25, 10.1080/14639230010028786

Chen, 2003, Automated discovery of patient-specific clinician information needs using clinical information system log files, Proc AMIA Symp, 145

Chen, 2008, Automated acquisition of disease drug knowledge from biomedical and clinical documents: an initial study, J Am Med Inform Assoc, 15, 87, 10.1197/jamia.M2401

Wright, 2006, Automated development of order sets and corollary orders by data mining in an ambulatory computerized physician order entry system, Proc AMIA Symp, 819

Agrawal, 1993, Mining association rules between sets of items in large databases, Proc 20th Int Conf Very Large Data Bases, 688

Tan, 2002, Selecting the right interestingness measure for association patterns, Proc Eighth ACM SIGKDD Int Conf Knowledge Discov Data Mining, 10.1145/775047.775053

Brin, 1997, Dynamic itemset counting and implication rules for market basket data, Proc ACM SIGMOD Int Conf Manage Data, 255, 10.1145/253262.253325

Stearns, 2001, SNOMED clinical terms: overview of the development process and project status, Proc AMIA Annu Symp, 662

Forrey, 1996, Logical observation identifier names and codes (LOINC) database: a public use set of codes and names for electronic reporting of clinical laboratory test results, Clin Chem, 42, 81, 10.1093/clinchem/42.1.81

Liu, 2005, RxNorm: prescription for electronic drug information exchange, IT Prof, 7, 17, 10.1109/MITP.2005.122

Narayanasamy, 2004, TransMiner: mining transitive associations among biological objects from text, J Biomed Sci, 11, 864, 10.1007/BF02254372

Pagana, 2007

United States Food and Drug Administration. Structured Product Labeling Resources. 2009 [cited 2009 June 15]; Available from: <http://www.fda.gov/ForIndustry/DataStandards/StructuredProductLabeling/default.htm/>.