It is very difficult, if not impossible, for researchers to manually evaluate and revise their scientific models using a vast amount of relevant information now available to them. The paper describes a new framework, called JustAid, that successfully integrates techniques from Knowledge Acquisition and Machine Learning in a way that complements their strengths to overcome their weaknesses, and provides an interactive environment to help researchers in a process of scientific discovery. JustAid can use information stored in medical databases and assist experimental scientists in forming, testing and revising scientific models, without a need of a knowledge engineer. In this paper, JustAid has been applied to a real world problem in the area of neuroendocrinology, a branch of physiology.
CITATION STYLE
Mahidadia, A., & Compton, P. (2001). Assisting model-discovery in neuroendocrinology. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2226, pp. 214–227). Springer Verlag. https://doi.org/10.1007/3-540-45650-3_20
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