PATTERN RECOGNITION IN LABORATORY MEDICINE: SOME RESULTS FROM CLINICAL CHEMISTRY AND MICROBIOLOGY.

J. W. Lewis; J. C. Boyd; J. J. Marr; A. M. Harper; B. R. Kowalski; J. H. Ladenson

PATTERN RECOGNITION IN LABORATORY MEDICINE: SOME RESULTS FROM CLINICAL CHEMISTRY AND MICROBIOLOGY.

J. W. Lewis
, J. C. Boyd
, J. J. Marr
, A. M. Harper
, B. R. Kowalski
, J. H. Ladenson

Research output: Contribution to conference › Paper › peer-review

Abstract

A series of studies are being performed with the following objectives: (1) assist the physician in the extraction of additional information from laboratory data; (2) present laboratory data to physician in a more concise, readily interpretable form; and (3) quantitate the utility of various laboratory tests in specific diagnostic situations. Application of several pattern recognition techniques to the problem of microorganism identification from antibiotic sensitivity results showed that classification accuracy could be significantly reduced if the organism were resistant to multiple antibiotics. In clinical chemistry, a data presentation technique based on optimal discriminant vector projections appears promising.

Original language	English
Pages	17-20
Number of pages	4
State	Published - 1978
Event	Proc IEEE Comput Soc Conf Pattern Recognition Image Process - Chicago, IL, USA Duration: May 31 1978 → Jun 2 1978

Conference

Conference	Proc IEEE Comput Soc Conf Pattern Recognition Image Process
City	Chicago, IL, USA
Period	05/31/78 → 06/2/78

Cite this

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title = "PATTERN RECOGNITION IN LABORATORY MEDICINE: SOME RESULTS FROM CLINICAL CHEMISTRY AND MICROBIOLOGY.",

abstract = "A series of studies are being performed with the following objectives: (1) assist the physician in the extraction of additional information from laboratory data; (2) present laboratory data to physician in a more concise, readily interpretable form; and (3) quantitate the utility of various laboratory tests in specific diagnostic situations. Application of several pattern recognition techniques to the problem of microorganism identification from antibiotic sensitivity results showed that classification accuracy could be significantly reduced if the organism were resistant to multiple antibiotics. In clinical chemistry, a data presentation technique based on optimal discriminant vector projections appears promising.",

author = "Lewis, \{J. W.\} and Boyd, \{J. C.\} and Marr, \{J. J.\} and Harper, \{A. M.\} and Kowalski, \{B. R.\} and Ladenson, \{J. H.\}",

year = "1978",

language = "English",

pages = "17--20",

}

TY - CONF

T1 - PATTERN RECOGNITION IN LABORATORY MEDICINE

T2 - Proc IEEE Comput Soc Conf Pattern Recognition Image Process

AU - Lewis, J. W.

AU - Boyd, J. C.

AU - Marr, J. J.

AU - Harper, A. M.

AU - Kowalski, B. R.

AU - Ladenson, J. H.

PY - 1978

Y1 - 1978

N2 - A series of studies are being performed with the following objectives: (1) assist the physician in the extraction of additional information from laboratory data; (2) present laboratory data to physician in a more concise, readily interpretable form; and (3) quantitate the utility of various laboratory tests in specific diagnostic situations. Application of several pattern recognition techniques to the problem of microorganism identification from antibiotic sensitivity results showed that classification accuracy could be significantly reduced if the organism were resistant to multiple antibiotics. In clinical chemistry, a data presentation technique based on optimal discriminant vector projections appears promising.

AB - A series of studies are being performed with the following objectives: (1) assist the physician in the extraction of additional information from laboratory data; (2) present laboratory data to physician in a more concise, readily interpretable form; and (3) quantitate the utility of various laboratory tests in specific diagnostic situations. Application of several pattern recognition techniques to the problem of microorganism identification from antibiotic sensitivity results showed that classification accuracy could be significantly reduced if the organism were resistant to multiple antibiotics. In clinical chemistry, a data presentation technique based on optimal discriminant vector projections appears promising.

UR - https://www.scopus.com/pages/publications/0018281974

M3 - Paper

AN - SCOPUS:0018281974

SP - 17

EP - 20

Y2 - 31 May 1978 through 2 June 1978

ER -

PATTERN RECOGNITION IN LABORATORY MEDICINE: SOME RESULTS FROM CLINICAL CHEMISTRY AND MICROBIOLOGY.

Abstract

Conference

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