Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Kenneth H. Lai"'
Publikováno v:
Information Sciences. 619:930-946
Autor:
Jiarui Yao, Jayeol Chun, Nianwen Xue, Kenneth H. Lai, James Pustejovsky, Chu-Ren Huang, Tim O'Gorman, Andrew Cowell, Sarah R. Moeller, Martha Palmer, Meagan Vigus, Jens E. L. Van Gysel, William Croft, Jan Hajič, Stephan Oepen, Rosa Vallejos, James Martin
Publikováno v:
KI - Künstliche Intelligenz. 35:343-360
In this paper we present Uniform Meaning Representation (UMR), a meaning representation designed to annotate the semantic content of a text. UMR is primarily based on Abstract Meaning Representation (AMR), an annotation framework initially designed f
Publikováno v:
COLING
We analyze the use and interpretation of modal expressions in a corpus of situated human-robot dialogue and ask how to effectively represent these expressions for automatic learning. We present a two-level annotation scheme for modality that captures
Publikováno v:
The Journal of Allergy and Clinical Immunology: In Practice. 5:744-749
Background Angiotensin-converting enzyme inhibitors (ACEIs) are a common cause of drug-induced angioedema in the United States. Most epidemiologic ACEI angioedema data are from large multicenter clinical trials. Objective The objective of this study
Autor:
Gordon D. Schiff, Katherine J. Forsythe, Mary G. Amato, Kenneth H. Lai, Tewodros Eguale, Samuel J Karmiy, Bruce L. Lambert, Alejandra Salazar, Adam Wright, Lynn A. Volk, David Liebovitz
Publikováno v:
American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists. 76(13)
Purpose To examine the extent to which outpatient clinicians currently document drug indications in prescription instructions. Methods Free-text sigs were extracted from all outpatient prescriptions generated by the computerized prescriber order entr
Autor:
Yu Li, Li Zhou, Kimberly G. Blumenthal, Aleena Banerji, Rebecca R. Saff, Kenneth H. Lai, Carlos A. Camargo
Publikováno v:
J Allergy Clin Immunol Pract
Background Allergic drug reaction epidemiologic data are sparse because it remains difficult to identify true cases in large data sets using manual chart review. Objective To develop and validate a novel informatics method based on natural language p
Publikováno v:
Proceedings of the First International Workshop on Designing Meaning Representations.
In this paper, we propose an extension to Abstract Meaning Representations (AMRs) to encode scope information of quantifiers and negation, in a way that overcomes the semantic gaps of the schema while maintaining its cognitive simplicity. Specificall
Autor:
Maxim Topaz, Suzanne V. Blackley, Kenneth H. Lai, Kavita Radhakrishnan, Li Zhou, Victor J. Lei
Publikováno v:
Western Journal of Nursing Research. 39:147-165
This study developed an innovative natural language processing algorithm to automatically identify heart failure (HF) patients with ineffective self-management status (in the domains of diet, physical activity, medication adherence, and adherence to
Autor:
Li Zhou, Kin Wah Fung, George A. Robinson, Foster R. Goss, Diane L. Seger, Robert C. McClure, Paige G. Wickner, David W. Bates, Sarah P. Slight, Shelly Spiro, Warren W. Acker, Kimberly G. Blumenthal, Kenneth H. Lai, Maxim Topaz
Publikováno v:
Int J Med Inform
Autor:
Li Zhou, Adrian Wong, Leigh Kowalski, Francis Deng, Matthew D. Li, Subba R. Digumarthy, Kenneth H. Lai
Publikováno v:
Journal of the American College of Radiology : JACR. 16(8)
Purpose To describe and appraise contrast agent allergy documentation in the electronic health record (EHR). Methods We systematically identified medical imaging drugs and class terms in an integrated EHR allergy repository for patients seen at a lar