AIMar 27, 2013

Problem Formulation as the Reduction of a Decision Model

arXiv:1304.1091v214 citations
Originality Synthesis-oriented
AI Analysis

This work is incremental, focusing on internal medicine decision-making.

The authors tackled the problem of extending a probabilistic medical model to include treatment decisions and constructing simpler patient-specific models, transforming problem formulation into narrowing a larger problem.

In this paper, we extend the QMRDT probabilistic model for the domain of internal medicine to include decisions about treatments. In addition, we describe how we can use the comprehensive decision model to construct a simpler decision model for a specific patient. In so doing, we transform the task of problem formulation to that of narrowing of a larger problem.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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