Prototypes and Case-Based Reasoning for Medical Applications

2008 ◽  
pp. 285-317 ◽  
Author(s):  
R. Schmidt ◽  
T. Waligora ◽  
O. Vorobieva
Keyword(s):  
Medical Applications ◽  
Case Based Reasoning ◽  
Case Based

Medical applications in case-based reasoning

2005 ◽  
Vol 20 (3) ◽  
pp. 289-292 ◽  
Author(s):  
ALEC HOLT ◽  
ISABELLE BICHINDARITZ ◽  
RAINER SCHMIDT ◽  
PETRA PERNER
Keyword(s):  
Medical Applications ◽  
Case Based Reasoning ◽  
Field Systems ◽  
Medical Domain ◽  
Case Based

This commentary summarizes case-based reasoning research applied in the medical domain. In this commentary the term ‘medical’ is used in an all-encompassing manner. It comprises all aspects of health, for example, from diagnosis to nutrition planning. This article provides references to researchers in the field, systems, workshops, and landmark publications.

Case-Based Reasoning Systems for Medical Applications with Improved Adaptation and Recovery Stages

2018 ◽  
pp. 26-38 ◽  
Author(s):  
X. Blanco Valencia ◽  
D. Bastidas Torres ◽  
C. Piñeros Rodriguez ◽  
D. H. Peluffo-Ordóñez ◽  
M. A. Becerra ◽  
...  
Keyword(s):  
Medical Applications ◽  
Case Based Reasoning ◽  
Reasoning Systems ◽  
Case Based

Solving the Message Classification Problem in Voice Interaction Systems

Vestnik MEI ◽  
2020 ◽  
Vol 5 (5) ◽  
pp. 132-139
Author(s):  
Ivan E. Kurilenko ◽  
◽  
Igor E. Nikonov ◽  
Keyword(s):  
Artificial Intelligence ◽  
Classification Problem ◽  
Subject Area ◽  
Text Messages ◽  
Case Based Reasoning ◽  
Short Text ◽  
Proposed Modification ◽  
Voice Interaction ◽  
Text Content ◽  
Case Based

A method for solving the problem of classifying short-text messages in the form of sentences of customers uttered in talking via the telephone line of organizations is considered. To solve this problem, a classifier was developed, which is based on using a combination of two methods: a description of the subject area in the form of a hierarchy of entities and plausible reasoning based on the case-based reasoning approach, which is actively used in artificial intelligence systems. In solving various problems of artificial intelligence-based analysis of data, these methods have shown a high degree of efficiency, scalability, and independence from data structure. As part of using the case-based reasoning approach in the classifier, it is proposed to modify the TF-IDF (Term Frequency - Inverse Document Frequency) measure of assessing the text content taking into account known information about the distribution of documents by topics. The proposed modification makes it possible to improve the classification quality in comparison with classical measures, since it takes into account the information about the distribution of words not only in a separate document or topic, but in the entire database of cases. Experimental results are presented that confirm the effectiveness of the proposed metric and the developed classifier as applied to classification of customer sentences and providing them with the necessary information depending on the classification result. The developed text classification service prototype is used as part of the voice interaction module with the user in the objective of robotizing the telephone call routing system and making a shift from interaction between the user and system by means of buttons to their interaction through voice.

Feature level intentions based product recommendations with case-based reasoning

2018 ◽  
Vol 6 (1) ◽  
pp. 266-274
Author(s):  
D. Teja Santosh ◽  
◽  
K.C. Ravi Kumar ◽  
P. Chiranjeevi ◽  
◽  
...  
Keyword(s):  
Case Based Reasoning ◽  
Product Recommendations ◽  
Case Based
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