Zusammenfassung Erst das Zusammenspiel von Drähten und Kathetern hat die moderne endovaskuläre Therapie möglich gemacht. Nur der richtige Draht mit seinen speziellen Eigenschaften, abhängig vom Gefäßgebiet, kann zum Erfolg führen. Deswegen ist es wichtig, Eigenschaften eingesetzten Drähte zu kennen verstehen. werden prinzipiell in 3 Gruppen (Zugangs‑, Sondierungs- Haltedrähte) eingeteilt. Eleme...

The healthcare environment is generally perceived as being information rich yet knowledge poor. However, there is a lack of effective analysis tools to discover hidden relationships and trends in data. In fact, valuable knowledge can be discovered from application of data mining techniques in healthcare system. In this study, a proficient methodology for the extraction of significant patterns f...

Learning from given patterns is realized by learning from their appropriate representations. This is usually practiced either by defining a set of features or by measuring proximities between pairs of objects. Both approaches are problem dependent and aim at the construction of some representation space, where discrimination functions can be defined. In most situations, some feature reduction o...

Machine learning-based classification techniques provide support for the decision making process in the field of healthcare, especially in disease diagnosis, prognosis and screening. Healthcare datasets are voluminous in nature and their high dimensionality problem comprises in terms of slower learning rate and higher computational cost. Feature selection is expected to deal with the high dimen...