Knowledge-Based Decision Support for Laryngeal Tumour Diseases: Design and Structure of the Esther System

Haux, Reinhold; Höfener, J.; Ingenerf, Josef; Repges, Rudolf; Richter, Michael M.; Mösges, Ralph; Schlöndorff, G.; Schmelzer, B

doi:10.1007/978-3-642-48706-4_35

Cited by 2 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As an application example the expert system for therapy support for laryngeal tumours, ESTHER, will now be briefly outlined, as far as the general methodological considerations presented here are involved. A more detailed description of the system can be found in [29] and [30] (see also [31]). Since the integration problem is quite a general problem in medicine, the approach, as presented here, is currently also being applied for the design of other systems for the knowledge-based therapy support.…”

Section: Application Examplementioning

confidence: 99%

“…ESTHER has been realised on the know/edge engineer interface data and knowledge base management system data base knowledge base knowledge about -diseases -examinations -attribute selection basis of the considerations given in this paper concerning functional and architectural views. Knowledge is currently represented for 69 diagnoses and 22 treatments which can be combined to treatment proposals [29]. Some interesting features for the system design are: the data base design has been made using (and extending) Codd's RM/T approach (cf.…”

Section: Application Examplementioning

confidence: 99%

See 1 more Smart Citation

Knowledge-Based Decision Support for Diagnosis and Therapy: On the Multiple Usability of Patient Data

Haux¹

1989

Methods Inf Med

Self Cite

View full text Add to dashboard Cite

Abstract:Expert systems in medicine are frequently restricted to assisting the physician to derive a patient-specific diagnosis and therapy proposal. In many cases, however, there is a clinical need to use these patient data for other purposes as well. The intention of this paper is to show how and to what extent patient data in expert systems can additionally be used to create clinical registries and for statistical data analysis. At first, the pitfalls of goal-oriented mechanisms for the multiple usability of data are shown by means of an example. Then a data acquisition and inference mechanism is proposed, which includes a procedure for controlling selection bias, the so-called knowledge-based attribute selection. The functional view and the architectural view of expert systems suitable for the multiple usability of patient data is outlined in general and then by means of an application example. Finally, the ideas presented are discussed and compared with related approaches.

show abstract

Section: Application Examplementioning

confidence: 99%

Section: Application Examplementioning

confidence: 99%