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A case-based reasoning system based on weighted heterogeneous value distance metric for breast cancer diagnosis
Objective We present the implementation and application of a case-based reasoning (CBR)
system for breast cancer related diagnoses. By retrieving similar cases in a breast cancer …
system for breast cancer related diagnoses. By retrieving similar cases in a breast cancer …
Personalized adaptive CBR bolus recommender system for type 1 diabetes
Type 1 diabetes mellitus (T1DM) is a chronic disease. Those who have it must administer
themselves with insulin to control their blood glucose level. It is difficult to estimate the …
themselves with insulin to control their blood glucose level. It is difficult to estimate the …
Semi-automatic adaptation of diagnostic rules in the case-based reasoning process
The paper presents a new approach to effectively support the adaptation phases in the case-
based reasoning (CBR) process. The use of the CBR approach in DSS (Decision Support …
based reasoning (CBR) process. The use of the CBR approach in DSS (Decision Support …
e**T* CBR. v2: Distributed case-based reasoning tool for medical prognosis
In this work we propose a user-friendly medically oriented tool for prognosis development
systems and experimentation under a case-based reasoning methodology. The tool enables …
systems and experimentation under a case-based reasoning methodology. The tool enables …
e**T* CBR: A framework for case-based medical diagnosis development and experimentation
OBJECTIVE: Medical applications have special features (interpretation of results in medical
metrics, experiment reproducibility and dealing with complex data) that require the …
metrics, experiment reproducibility and dealing with complex data) that require the …
How to Improve the Adaptation Phase of the CBR in the Medical Domain
This paper reviews the Case-based reasoning (CBR) approach and its usability in the
medicine and presents a new concept on how to improve its adaptation phase. We use the …
medicine and presents a new concept on how to improve its adaptation phase. We use the …
Integration of sequence learning and CBR for complex equipment failure prediction
In this paper we present a methodology based on combining sequence learning and case-
based reasoning. This methodology has been applied in the analysis, mining and …
based reasoning. This methodology has been applied in the analysis, mining and …
A framework for case-based diagnosis of batch processes in the principal components space
This paper presents a framework for fault detection and diagnosis of batch processes based
on the information directly gathered from sensors. First, a statistical model of the process is …
on the information directly gathered from sensors. First, a statistical model of the process is …
Boosting CBR agents with genetic algorithms
In this paper we present a distributed system in which several case-based reasoning (CBR)
agents cooperate under a boosting schema. Each CBR agent knows part of the cases (a …
agents cooperate under a boosting schema. Each CBR agent knows part of the cases (a …
Construction of an automated screening system to predict breast cancer diagnosis and prognosis
Background and aim: Using machine learning methods can be helpful in the clinical
decision processes such as pathological diagnosis with the aid of microscopic feature …
decision processes such as pathological diagnosis with the aid of microscopic feature …