Integrating Machine Learning Into a Medical Decision Support System to Address the Problem of Missing Patient Data

2012 ◽  
Author(s):  
Atif Khan ◽  
John A. Doucette ◽  
Robin Cohen ◽  
Daniel J. Lizotte
Keyword(s):  
Machine Learning ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Patient Data ◽  
Medical Decision ◽  
Medical Decision Support

scholarly journals Performance Evaluation of the Machine Learning Algorithms Used in Inference Mechanism of a Medical Decision Support System

2014 ◽  
Vol 2014 ◽  
pp. 1-15 ◽  
Author(s):  
Mert Bal ◽  
M. Fatih Amasyali ◽  
Hayri Sever ◽  
Guven Kose ◽  
Ayse Demirhan
Keyword(s):  
Machine Learning ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Medical Decision ◽  
Inference Mechanism ◽  
Medical Decision Support ◽  
Intelligent Software

The importance of the decision support systems is increasingly supporting the decision making process in cases of uncertainty and the lack of information and they are widely used in various fields like engineering, finance, medicine, and so forth, Medical decision support systems help the healthcare personnel to select optimal method during the treatment of the patients. Decision support systems are intelligent software systems that support decision makers on their decisions. The design of decision support systems consists of four main subjects called inference mechanism, knowledge-base, explanation module, and active memory. Inference mechanism constitutes the basis of decision support systems. There are various methods that can be used in these mechanisms approaches. Some of these methods are decision trees, artificial neural networks, statistical methods, rule-based methods, and so forth. In decision support systems, those methods can be used separately or a hybrid system, and also combination of those methods. In this study, synthetic data with 10, 100, 1000, and 2000 records have been produced to reflect the probabilities on the ALARM network. The accuracy of 11 machine learning methods for the inference mechanism of medical decision support system is compared on various data sets.

XAI-based Medical Decision Support System Model

2020 ◽  
Vol 10 (12) ◽  
pp. 598-607
Author(s):  
Vytautas Petrauskas ◽  
Gyte Damuleviciene ◽  
Algirdas Dobrovolskis ◽  
Juozas Dovydaitis ◽  
Audrone Janaviciute ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
System Model ◽  
Medical Decision ◽  
Medical Decision Support
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