| Title |
Methodology of adaptation of data mining methods for medical decision support: case study / |
| Another Title |
Duomenų gavybos ir analizės metodų taikymo medicininiams sprendimams rengti metodologija: atvejų tyrimas. |
| Authors |
Špečkauskienė, V ; Lukoševičius, A |
| Full Text |
|
| Is Part of |
Elektronika ir elektrotechnika.. Kaunas : Technologija. 2009, Nr. 2, p. 25-28.. ISSN 1392-1215. eISSN 2029-5731 |
| Abstract [eng] |
Data mining algorithms are used in various fields as a tool for answering (suggesting) particular questions. Medicine is one of the fields, which widely uses data mining techniques. In this research they are analyzed and applied in the domain of eye health. Aim: elaborate and test a method of data mining algorithms and adjustment of these algorithms for decision support. In this case we apply the steps stated in our method on data mining algorithms and eye health screening data. Paper presents the results of the testing of methodology, covering operation of algorithms’ specificity (%) and sensitivity (%). Highest reached sensitivity is 94%, specificity – 100%. |
| Published |
Kaunas : Technologija |
| Type |
Journal article |
| Language |
English |
| Publication date |
2009 |
| CC license |
|
