ACCELERATED REFLEX TESTING USING AN AI MODEL IN A WELL-PATIENT SETTING.

W. J. Castellani; D. Chou; F. Van Lente; R. S. Galen

ACCELERATED REFLEX TESTING USING AN AI MODEL IN A WELL-PATIENT SETTING.

W. J. Castellani, D. Chou, F. Van Lente, R. S. Galen

Department of Biochemistry and Molecular Biology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

An artificial intelligence system is described for the evaluation and interpretation of abnormalities in patient laboratory test results. Its application to a specific patient population, summary of findings based on over 4500 patients, and consideration of general applicability of such systems to laboratory testing is discussed.

Original language	English (US)
Title of host publication	IEEE/Engineering in Medicine and Biology Society Annual Conference
Publisher	IEEE
Pages	1533-1534
Number of pages	2
State	Published - 1987

All Science Journal Classification (ASJC) codes

General Engineering

Cite this

@inproceedings{1fa43c0cb4a3488a96923f6f6698ef68,

title = "ACCELERATED REFLEX TESTING USING AN AI MODEL IN A WELL-PATIENT SETTING.",

abstract = "An artificial intelligence system is described for the evaluation and interpretation of abnormalities in patient laboratory test results. Its application to a specific patient population, summary of findings based on over 4500 patients, and consideration of general applicability of such systems to laboratory testing is discussed.",

author = "Castellani, {W. J.} and D. Chou and {Van Lente}, F. and Galen, {R. S.}",

year = "1987",

language = "English (US)",

pages = "1533--1534",

booktitle = "IEEE/Engineering in Medicine and Biology Society Annual Conference",

publisher = "IEEE",

}

TY - GEN

T1 - ACCELERATED REFLEX TESTING USING AN AI MODEL IN A WELL-PATIENT SETTING.

AU - Castellani, W. J.

AU - Chou, D.

AU - Van Lente, F.

AU - Galen, R. S.

PY - 1987

Y1 - 1987

N2 - An artificial intelligence system is described for the evaluation and interpretation of abnormalities in patient laboratory test results. Its application to a specific patient population, summary of findings based on over 4500 patients, and consideration of general applicability of such systems to laboratory testing is discussed.

AB - An artificial intelligence system is described for the evaluation and interpretation of abnormalities in patient laboratory test results. Its application to a specific patient population, summary of findings based on over 4500 patients, and consideration of general applicability of such systems to laboratory testing is discussed.

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M3 - Conference contribution

AN - SCOPUS:0023599020

SP - 1533

EP - 1534

BT - IEEE/Engineering in Medicine and Biology Society Annual Conference

PB - IEEE

ER -

ACCELERATED REFLEX TESTING USING AN AI MODEL IN A WELL-PATIENT SETTING.

Abstract

All Science Journal Classification (ASJC) codes

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