Recognition of Critical Situations from Time Series of Laboratory Results by Case-Based Reasoning | Zendy

Lutz Fritsche | Zendy; Alexander Schlaefer | Zendy; Klemens Budde | Zendy; K.E. Schroeter | Zendy; H.-H. Neumayer | Zendy

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Recognition of Critical Situations from Time Series of Laboratory Results by Case-Based Reasoning

Author(s) -

Lutz Fritsche,

Alexander Schlaefer,

Klemens Budde,

K.E. Schroeter,

H.-H. Neumayer

Publication year - 2002

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1197/jamia.m1013

Subject(s) - dynamic time warping , computer science , similarity (geometry) , case based reasoning , similarity measure , kidney transplant , artificial intelligence , measure (data warehouse) , data mining , pattern recognition (psychology) , machine learning , medicine , kidney transplantation , kidney , image (mathematics)

To develop a technique for recognizing critical situations based on laboratory results in settings in which a normal range cannot be defined, because what is "normal" differs widely from patient to patient. To assess the potential of this approach for kidney transplant recipients, where recognition of acute rejections is based on the pattern of changes in serum creatinine.

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