| P.J.F. Lucas. Knowledge acquisition for decision-theoretic expert systems. AISB Quarterly 1996, 94: 23--33. |
....probabilistic networks [23,15,31] also known as Bayesian (belief) networks [37] and decision theory [41] that is aimed at supporting clinicians in prescribing antibiotic therapy to mechanically ventilated patients with pneumonia at the ICU. It is part of a decision theoretic expert system [25,27] called PTA (Pneumonia Therapy Advisor) Note that this problem domain is closely related to that of the well known MYCIN system, an expert system developed in the late 1970s at Stanford University that offered advice on the diagnosis and treatment of sepsis and meningitis [9,40,46] However, the ....
Lucas PJF. Knowledge acquisition for decision-theoretic expert systems. AISB Q 1996;94:23 -- 33.
....There are presently no comprehensive knowledge engineering methodologies available that can be used in building a decision theoretic network. In this paper, a further elaboration of a preliminary methodology for building decision theoretic expert systems for treatment management, as described in [7], is discussed. It is also investigated how decision theoretic expert systems can be used to deal with a number of questions clinicians are likely to find important: optimal treatment selection, prognostic assessment and generating profiles for specific treatment outcomes. Since all these ....
....2.2 Identification of Relevant Variables The selection of variables for a decision theoretic network is influenced by the adopted view on the medical domain concerned. Often, knowledge about (patho)physiological mechanisms is used to guide the process of gathering relevant variables (cf. [6, 7]) For the gastric NHL model, however, we have chosen to incorporate only those variables into the model that are widely used by clinicians. The relevance of most of these variables is supported by literature on prognostic factors in primary gastric NHL [2, 10] First, the information used in the ....
Lucas PJF. Knowledge acquisition for decision-theoretic expert systems. AISB Quaterly 1996; 94: 23--33.
....probabilistic networks [23, 15, 31] also known as Bayesian (belief) networks [37] and decision theory [41] that is aimed at supporting clinicians in prescribing antibiotic therapy to mechanically ventilated patients with pneumonia at the ICU. It is part of a decision theoretic expert system [25, 27] called PTA (Pneumonia Therapy Advisor) Note that this problem domain is closely related to that of the well known mycin system, an expert system developed in the late 1970s at Stanford University that o ered advice on the diagnosis and treatment of sepsis and meningitis [9, 40, 46] However, ....
Lucas PJF. Knowledge acquisition for decision-theoretic expert systems. AISB Quaterly 1996; 94: 23-33.
....2.2.1 Identi cation of relevant variables The selection of variables for a decision theoretic network is in uenced by the adopted view on the medical domain concerned. Often, knowledge about (patho)physiological mechanisms is used to guide the process of gathering relevant variables (cf. [25, 26]) For the gastric NHL model, however, we have chosen to incorporate only those variables into the model that are widely used by clinicians. The relevance of most of these variables is supported by literature on prognostic factors in primary gastric NHL [6, 9, 10] First, the information used in ....
Lucas PJF. Knowledge acquisition for decision-theoretic expert systems. AISB Quaterly 1996; 94: 23-33.
....under uncertainty, the framework of decision theoretic networks couples expressiveness to mathematical correctness. The framework is therefore especially suited as a basis for decision theoretic expert systems. In building a decision theoretic network, the origins of the framework are reflected [13]. As with any expert system, knowledge has to be acquired from domain experts, literature and databases. As such, the knowledge acquisition process accords with the methodologies for knowledge engineering proposed in recent years (cf. 16] These knowledge engineering methods have to be ....
Lucas, P.: Knowledge acquisition for decision-theoretic expert systems. AISB Quarterly 94 (1996) 23--33
....experience in dealing with the methodological questions which arise in research in medical decision support. He is collaborating with most researchers mentioned above, and also with the clinicians at UMCU in the context of the ICEA project. His contacts in the medical field cover a broad area [36, 40, 41, 4], from treatment selection in cancer using modern decision theoretic techniques [41] to advice in pacemaker reprogramming [43] and Bayesian network learning [45] Linda van der Gaag is an internationally recognised expert in the foundations of Bayesian networks. Her research covers methods that ....
P.J.F. Lucas. Knowledge acquisition for decision-theoretic expert systems. AISB Quarterly 1996, 94: 23--33.
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