Hypotheses and facts.

A process model of diagnostic reasoning in medicine

The paper presents a model-based approach to diagnostic reasoning in medicine. A process model is defined on the levels of static elements, dynamic elements and reasoning control. Static elements, facts, hypotheses and different types of disease knowledge, are identified and variations relevant for hypotheses generation are described. Dynamic elements correspond to actions, which in turn modify...

Speed - up Transformations of Logic

This paper presents a formal framework for the automatic transformation of ineecient generate and test programs into equivalent programs by learning from the proofs of example queries. In the resulting program the search is guided by strategies based on abstracted proof traces obtained from the interpretation of example computations. Strategies are incre-mentally improved in an iterative proces...

Generator of Hypotheses – an Approach of Data Mining Based on Monotone Systems Theory

Generator of hypotheses is a new method for data mining. It makes possible to classify the source data automatically and produces a particular enumeration of patterns. Pattern is an expression (in a certain language) describing facts in a subset of facts. The goal is to describe the source data via patterns and/or IF...THEN rules. Used evaluation criteria are deterministic (not probabilistic). ...

Part Ii I Hypotheses about the Pathophysiology of Non-communicable Diseases

NON-COMMUNICABLE DISEASES. .. .we can gain experience without making experiments, solely by reasoning appropriately about well-established facts, just as we can make experiments and observations without gaining experience, if we limit ourselves to noting facts.

MIT 14.662 Graduate Labor Economics II Spring 2009 Lecture Note 1: Earnings Inequality: Facts, Models and Hypotheses

Mining biomedical texts for disease-related pathways

I will describe my collaborators' and my own effort to compile large models of molecular pathways in complex human disorders. The talk will address a number of interrelated questions: How to extract facts from texts at a large scale? How to assess the quality of the extracted facts? How to identify sets of conflicting or unreliable facts and to generate an internally consistent model? How to us...