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https://www.sciencedirect.com/science/article/pii/S0167923602001434
Model selection for medical diagnosis decision support systems 1. Introduction. The importance of making a correct medical diagnosis cannot be over-stressed. 2. Model selection. Many MDSS are implemented with logistic regression,... 3. Research methodology. Our research methodology is …Cited by: 101
https://www.researchgate.net/publication/222434783_Model_selection_for_medical_diagnosis_decision_support_systems
Clinical or Medical Decision Support Systems as they are called are based on a best single model that is trained to know particular physiological characteristics of a certain disease and by ...
https://www.sciencedirect.com/science/article/pii/S0933365700000634
There are a number of different quantitative models that can be used in a medical diagnostic decision support system (MDSS) including parametric methods (linear discriminant analysis or logistic regression), non-parametric models (K nearest neighbor, or kernel density) and several neural network models. The complexity of the diagnostic task is thought to be one of the prime determinants of model selection.Cited by: 118
https://www.academia.edu/23680107/Model_selection_for_medical_diagnosis_decision_support_systems
Model selection for medical diagnosis decision support systems
https://www.deepdyve.com/lp/elsevier/model-selection-for-medical-diagnosis-decision-support-systems-IkUkv0Cbo9
Jan 01, 2004 · Model selection for medical diagnosis decision support systems Model selection for medical diagnosis decision support systems Mangiameli, Paul; West, David; Rampal, Rohit 2004-01-01 00:00:00 In this paper, we examine the model section decision for a medical diagnostic decision support system (MDSS). Our purpose in doing this is to understand how model selection affects the accuracy of the decision support system.
https://www.deepdyve.com/lp/elsevier/model-selection-for-a-medical-diagnostic-decision-support-system-a-MFBf6CjeQw
Nov 01, 2000 · Model selection for a medical diagnostic decision support system: a breast cancer detection case West, David; West, Vivian 2000-11-01 00:00:00 There are a number of different quantitative models that can be used in a medical diagnostic decision support system (MDSS) including parametric methods (linear discriminant analysis or logistic regression), non-parametric models ( K …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1839633/
This underutilization may be even more true for diagnostic decision support systems (DDSS), which were some of the earliest examples of medical informatics innovations. This presentation will explore some of the reasons behind the lack of utilization and will offer design and implementation suggestions to improve the use of systems.Cited by: 11
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2627782/
Decision support systems have been used for a variety of purposes, ranging from quality and safety to efficiency, and across a variety of clinical domains such as screening, diagnosis and therapy. A substantial body of evidence exists to suggest that decision support systems can be …Cited by: 129
http://ijcsi.org/papers/IJCSI-8-3-1-147-153.pdf
diagnosis accuracy, it has become more of a demanding issue to develop reliable and powerful medical decision support systems (MDSS) to support the yet and still increasingly complicated diagnosis decision process. The medical diagnosis by nature is a complex and fuzzy cognitive process, hence soft computing methods, such as
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