Big Data and the Electronic Health Record

Autor: Steve G. Peters, James D. Buntrock

Publikováno v: Journal of Ambulatory Care Management. 37:206-210

The electronic medical record has evolved from a digital representation of individual patient results and documents to information of large scale and complexity. Big Data refers to new technologies providing management and processing capabilities, ta

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52875031830ebaac6427c2a89998541e
https://doi.org/10.1097/jac.0000000000000037

Toward a Learning Health-care System – Knowledge Delivery at the Point of Care Empowered by Big Data and NLP

Autor: Joshua J. Pankratz, Dingcheng Li, Vinod C. Kaggal, Sean P. Murphy, Yanshan Wang, James D. Buntrock, Jason L. Ross, Saeed Mehrabi, Rajeev Chaudhry, Majid Mojarad Rastegar, Ravikumar Komandur Elayavilli, Hongfang Liu, Sunghwan Sohn

Publikováno v: Biomedical Informatics Insights, Vol 2016, Iss Suppl. 1, Pp 13-22 (2016)
Biomedical Informatics Insights, Vol 8s1 (2016)
Biomedical Informatics Insights

The concept of optimizing health care by understanding and generating knowledge from previous evidence, ie, the Learning Health-care System (LHS), has gained momentum and now has national prominence. Meanwhile, the rapid adoption of electronic health

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbff30e11b2138e4f93f48a2762581f7
https://doi.org/10.4137/bii.s37977

LexGrid: A Framework for Representing, Storing, and Querying Biomedical Terminologies from Simple to Sublime

Autor: Harold R. Solbrig, Christopher G. Chute, James D. Buntrock, Thomas M. Johnson, Jyotishman Pathak

Many biomedical terminologies, classifications, and ontological resources such as the NCI Thesaurus (NCIT), International Classification of Diseases (ICD), Systematized Nomenclature of Medicine (SNOMED), Current Procedural Terminology (CPT), and Gene

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::807de0fe46c765a8a1b3108c72a6ba25
https://europepmc.org/articles/PMC2732233/

LexValueSets: an approach for context-driven value sets extraction

Autor: Jyotishman, Pathak, Guoqian, Jiang, Sridhar O, Dwarkanath, James D, Buntrock, Christopher G, Chute, Chris, Chute

Publikováno v: AMIA ... Annual Symposium proceedings. AMIA Symposium.

The ability to model, share and re-use value sets across multiple medical information systems is an important requirement. However, generating value sets semi-automatically from a terminology service is still an unresolved issue, in part due to the l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::e783371b7e0d8f39880128189cdfeb44
https://pubmed.ncbi.nlm.nih.gov/18998955

Identification of patients with congestive heart failure using a binary classifier

Autor: Christopher G. Chute, James D. Buntrock, Serguei V. S. Pakhomov

Publikováno v: BioNLP@ACL

This paper addresses a very specific problem that happens to be common in health science research. We present a machine learning based method for identifying patients diagnosed with congestive heart failure and other related conditions by automatical

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f075975b006d82b4dddb6f01a2c4f1c2
https://doi.org/10.3115/1118958.1118970