MKDS: A Medical Knowledge Discovery System Learned from Electronic Medical Records (Demonstration)

2018 ◽  
pp. 196-202
Author(s):  
Hen-Hsen Huang ◽  
An-Zi Yen ◽  
Hsin-Hsi Chen
Keyword(s):  
Knowledge Discovery ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Medical Knowledge ◽  
Discovery System

scholarly journals Coreference Resolution in Vietnamese Electronic Medical Records

2018 ◽  
Vol 34 (2) ◽  
Author(s):  
Hung D. Nguyen ◽  
Tru H. Cao
Keyword(s):  
Support Vector Machine ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Research Work ◽  
Medical Knowledge ◽  
Support Vector ◽  
Coreference Resolution ◽  
Bag Of Words ◽  
Clinical Text ◽  
Lexical Similarity

Electronic medical records (EMR) have emerged as an important source of data for research in medicine andinformation technology, as they contain much of valuable human medical knowledge in healthcare and patienttreatment. This paper tackles the problem of coreference resolution in Vietnamese EMRs. Unlike in English ones,in Vietnamese clinical texts, verbs are often used to describe disease symptoms. So we first define rules to annotateverbs as mentions and consider coreference between verbs and other noun or adjective mentions possible. Thenwe propose a support vector machine classifier on bag-of-words vector representation of mentions that takes intoaccount the special characteristics of Vietnamese language to resolve their coreference. The achieved F1 scoreon our dataset of real Vietnamese EMRs provided by a hospital in Ho Chi Minh city is 91.4%. To the best of ourknowledge, this is the first research work in coreference resolution on Vietnamese clinical texts.Keywords: Clinical text, support vector machine, bag-of-words vector, lexical similarity, unrestricted coreference

scholarly journals A review of medical terminology standards and structured reporting

2017 ◽  
Vol 30 (1) ◽  
pp. 17-25 ◽  
Author(s):  
Abdullah Awaysheh ◽  
Jeffrey Wilcke ◽  
François Elvinger ◽  
Loren Rees ◽  
Weiguo Fan ◽  
...  
Keyword(s):  
Electronic Medical Records ◽  
Medical Records ◽  
Medical Information ◽  
Medical Knowledge ◽  
Structured Reporting ◽  
Evidence Based ◽  
Medical Terminology ◽  
Wide Range ◽  
The Impact ◽  
Evidence Based Decision Making

Much effort has been invested in standardizing medical terminology for representation of medical knowledge, storage in electronic medical records, retrieval, reuse for evidence-based decision making, and for efficient messaging between users. We only focus on those efforts related to the representation of clinical medical knowledge required for capturing diagnoses and findings from a wide range of general to specialty clinical perspectives (e.g., internists to pathologists). Standardized medical terminology and the usage of structured reporting have been shown to improve the usage of medical information in secondary activities, such as research, public health, and case studies. The impact of standardization and structured reporting is not limited to secondary activities; standardization has been shown to have a direct impact on patient healthcare.

Adolescent Substance Use Screening Integrated With Electronic Medical Records

2014 ◽  
Author(s):  
C. McKenna ◽  
B. Gaines ◽  
C. Hatfield ◽  
S. Helman ◽  
L. Meyer ◽  
...  
Keyword(s):  
Substance Use ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Adolescent Substance Use ◽  
Adolescent Substance

Development of Knowledge Discovery System from Annotated Time Sereis Data

2012 ◽  
Vol 132 (4) ◽  
pp. 592-597
Author(s):  
Hiroshi Sugimura ◽  
Kazunori Matsumoto
Keyword(s):  
Knowledge Discovery ◽  
Discovery System
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