Decision table formalism for guideline representation of cholesterol management: Application to patient/physicians collaborative path for risk reduction of heart disease.

U Sinha; J Dionisio; B Dai; G Tashima; J Valdez; H Kangarloo

Decision table formalism for guideline representation of cholesterol management: Application to patient/physicians collaborative path for risk reduction of heart disease.

U Sinha
, J Dionisio
, B Dai
, G Tashima
, J Valdez
, H Kangarloo

University of California Los Angeles

Research output: Contribution to journal › Meeting abstract › peer-review

Original language	American English
Pages (from-to)	1163-1163
Number of pages	1
Journal	Journal of the American Medical Informatics Association
State	Published - 1999
Externally published	Yes

Cite this

@article{83a4d417832b4c17999223b5d27bae5a,

title = "Decision table formalism for guideline representation of cholesterol management: Application to patient/physicians collaborative path for risk reduction of heart disease.",

author = "U Sinha and J Dionisio and B Dai and G Tashima and J Valdez and H Kangarloo",

year = "1999",

language = "American English",

pages = "1163--1163",

journal = "Journal of the American Medical Informatics Association",

issn = "1067-5027",

publisher = "Oxford University Press",

}

TY - JOUR

T1 - Decision table formalism for guideline representation of cholesterol management

T2 - Application to patient/physicians collaborative path for risk reduction of heart disease.

AU - Sinha, U

AU - Dionisio, J

AU - Dai, B

AU - Tashima, G

AU - Valdez, J

AU - Kangarloo, H

PY - 1999

Y1 - 1999

UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=lmupure2024&SrcAuth=WosAPI&KeyUT=WOS:000170207300361&DestLinkType=FullRecord&DestApp=WOS_CPL

M3 - Meeting abstract

SN - 1067-5027

SP - 1163

EP - 1163

JO - Journal of the American Medical Informatics Association

JF - Journal of the American Medical Informatics Association

ER -

Decision table formalism for guideline representation of cholesterol management: Application to patient/physicians collaborative path for risk reduction of heart disease.

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Cite this