An Interactive Medical Knowledge Assistant

Czejdo, Bogdan D.; Baszun, M.

doi:10.1007/978-3-642-04757-2_32

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2011

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“…Recently has been observed efforts to remote patients diagnosis by use of teleinformatic services. It obeys automatic self diagnosis by proper software which is placed on Web servers accessable for patients [1], [2]. Also proper software could be used by the dedicated physicians for automatic preselection of the remote patients who need special attention of the physicians [3].…”

Section: Introductionmentioning

confidence: 99%

The Learning System by the Least Squares Support Vector Machine Method and its Application in Medicine

Szewczyk,

Baszun

2011

JTIT

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In the paper it has been presented the possibility of using the least squares support vector machine to the initial diagnosis of patients. In order to find some optimal parameters making the work of the algorithm more detailed, the following techniques have been used: K-fold Cross Validation, Grid-Search, Particle Swarm Optimization. The result of the classification has been checked by some labels assigned by an expert. The created system has been tested on the artificially made data and the data taken from the real database. The results of the computer simulations have been presented in two forms: numerical and graphic. All the algorithms have been implemented in the C# language.

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Section: Introductionmentioning

confidence: 99%