Multiperspective recognition applied to the computer-aided medical diagnosis - a comparative study of methods

2005 ◽  
Author(s):  
M.W. Kurzynski ◽  
E. Puchala
Keyword(s):  
Comparative Study ◽  
Medical Diagnosis ◽  
Computer Aided

A Comparative Study of Computer-aided Content Analysis and Traditional Analysis

1999 ◽  
Author(s):  
Heidi Aldous ◽  
R. Eric Landrum
Keyword(s):  
Content Analysis ◽  
Comparative Study ◽  
Computer Aided

A comparative study of kernel-based vector machines with probabilistic outputs for medical diagnosis

2021 ◽  
Author(s):  
Xusheng Qian ◽  
Zhiyong Zhou ◽  
Jisu Hu ◽  
Jianbing Zhu ◽  
He Huang ◽  
...  
Keyword(s):  
Comparative Study ◽  
Medical Diagnosis ◽  
Vector Machines

scholarly journals A Survey of Computer Aided Diagnosis (Cad) of Liver in Medical Diagnosis

2018 ◽  
Vol 15 (3) ◽  
pp. 130
Author(s):  
Shoaib Farooq ◽  
Zoya Khan
Keyword(s):  
Medical Diagnosis ◽  
Computer Aided Diagnosis ◽  
Computer Aided ◽  
Aided Diagnosis

2-D Vector Representation of Multi -Dimensional Symptom Space for Computer Aided Medical Diagnosis

1987 ◽  
pp. 172-175
Author(s):  
Tomio Sekiya ◽  
Akira Watanabe ◽  
Masao Saito ◽  
Makoto Kikuchi
Keyword(s):  
Medical Diagnosis ◽  
Vector Representation ◽  
Computer Aided

Rigorous performance assessment of computer-aided medical diagnosis and prognosis systems: a biostatistical perspective on data mining

2020 ◽  
Author(s):  
Marjan Mansourian ◽  
Hamid Reza Marateb ◽  
Mahsa Mansourian ◽  
Mohammad Reza Mohebbian ◽  
Harald Binder ◽  
...  
Keyword(s):  
Data Mining ◽  
Performance Assessment ◽  
Medical Diagnosis ◽  
Diagnosis And Prognosis ◽  
Computer Aided

The Design and Testing of a New Approach to Computer-aided Differential Diagnosis

1983 ◽  
Vol 22 (03) ◽  
pp. 156-166 ◽  
Author(s):  
Dana Ludwig ◽  
D. Heilbronn
Keyword(s):  
Statistical Models ◽  
Medical Diagnosis ◽  
Logistic Regression Model ◽  
Medical Knowledge ◽  
Bayes Rule ◽  
Causal Network ◽  
New Approach ◽  
Linear Discriminant ◽  
Computer Aided ◽  
Design And Testing

An algorithm is presented for making diagnostic inferences on the basis of a causal network model of medical knowledge. The algorithm is based on Bayes Rule, but is unique in the way that it accounts for the presence of conditional non-independence of observations and for the presence of multiple diseases in the same patient. An evaluation of the system is performed on a database of patients with chest pain. In this evaluation, the diagnostic accuracy of the system is found to be inferior to that of a logistic regression model and comparable to that of a linear discriminant function. In a review of selected cases from this database, the system can be shown to provide inferences that are not possible with other simpler statistical models. The practicality of this and other computer aids to medical diagnosis is discussed.

scholarly journals An interinstitutional comparative study and validation of computer aided drusen quantification

2005 ◽  
Vol 89 (5) ◽  
pp. 554-557 ◽  
Author(s):  
V Sivagnanavel
Keyword(s):  
Comparative Study ◽  
Computer Aided
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