Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
AI/COAG, A Knowledge-Based System for Consultation about Human Hemostasis Disorders: Progress Report.
9
Zitationen
4
Autoren
1981
Jahr
Abstract
AI/Coag is an interactive, knowledge based computer system which reports, analyzes and interprets clinical blood coagulation laboratory studies. The laboratory subsystem presently deals with six tests: platelet count, bleeding time, prothrombin time, activated partial thromboplastin time, thrombin time, and urea clot solubility. This subsystem returns a detailed analysis and interpretation of the test results. It also offers further information on specific aspects of the interpretation in the form of “Tell-Me-More” (TMM) items. Individual TMM items may be requested by the user during each interpretive session. Also available are the literature sources underlying the knowledge base, stored by the subsystem as “Tell-Me-Reference” (TMR) items. A second subsystem, under development, contains a detailed hemostasis history questionnaire, the answers from which will be analyzed in conjunction with results from the laboratory subsystem to provide a definitive interpretation or to suggest further laboratory tests.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.200 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.051 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.416 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.410 Zit.