TEMPORAL REASONING IN MEDICINE WITH AN EXAMPLE IN CYSTIC FIBROSIS PATIENT MANAGEMENT - ARTIFICIAL INTELLIGENCE MINI - TUTORIAL, PART II.

Laiwah A. Leung; James R. Slagle; Stanley M. Finkelstein; Warren J. Warwick

TEMPORAL REASONING IN MEDICINE WITH AN EXAMPLE IN CYSTIC FIBROSIS PATIENT MANAGEMENT - ARTIFICIAL INTELLIGENCE MINI - TUTORIAL, PART II.

Laiwah A. Leung, James R. Slagle, Stanley M. Finkelstein, Warren J. Warwick

Laboratory Medicine and Pathology

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

2 Scopus citations

Abstract

A brief history of temporal reasoning in medical applications is given. An expert system called Monitor is described that can perform the following tasks: (1) the incremental evaluation of the data; (2) retrieval of historical data for comparison purposes; (3) determination of the validity of the data cross references over time; (4) assessment of the disease progression by abstracting trends and changes from the time-ordered data; and (5) extraction of duration information from the symptom data. An initial evaluation of Monitor using 111 cases has shown that the system can classify 88% of the cases correctly.

Original language	English (US)
Title of host publication	Unknown Host Publication Title
Publisher	IEEE
Pages	43-44
Number of pages	2
ISBN (Print)	0818608633
State	Published - Jan 1 1988

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title = "TEMPORAL REASONING IN MEDICINE WITH AN EXAMPLE IN CYSTIC FIBROSIS PATIENT MANAGEMENT - ARTIFICIAL INTELLIGENCE MINI - TUTORIAL, PART II.",

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AU - Slagle, James R.

AU - Finkelstein, Stanley M.

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N2 - A brief history of temporal reasoning in medical applications is given. An expert system called Monitor is described that can perform the following tasks: (1) the incremental evaluation of the data; (2) retrieval of historical data for comparison purposes; (3) determination of the validity of the data cross references over time; (4) assessment of the disease progression by abstracting trends and changes from the time-ordered data; and (5) extraction of duration information from the symptom data. An initial evaluation of Monitor using 111 cases has shown that the system can classify 88% of the cases correctly.

AB - A brief history of temporal reasoning in medical applications is given. An expert system called Monitor is described that can perform the following tasks: (1) the incremental evaluation of the data; (2) retrieval of historical data for comparison purposes; (3) determination of the validity of the data cross references over time; (4) assessment of the disease progression by abstracting trends and changes from the time-ordered data; and (5) extraction of duration information from the symptom data. An initial evaluation of Monitor using 111 cases has shown that the system can classify 88% of the cases correctly.

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M3 - Conference contribution

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BT - Unknown Host Publication Title

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TEMPORAL REASONING IN MEDICINE WITH AN EXAMPLE IN CYSTIC FIBROSIS PATIENT MANAGEMENT - ARTIFICIAL INTELLIGENCE MINI - TUTORIAL, PART II.

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