ARTICLE
TITLE

DATA MINING TECHNOLOGY USING FOR DETERMINATION OF FORENSIC-MEDICAL PECULIARITIES OF INAPPROPRIATE MEDICAL CARE

SUMMARY

The paper presents Data Mining technology, in particular the method of induction of decision trees, for solving of special issues during forensic medical expertise in cases of medical malpractice. Based on the obtained results with using of the automated mathematical program of intellectual processing of the database, specific forensic expert peculiarities of inappropriate medical care were established. Presented research was performed on the example of medical malpractice litigation in internal medicine practice

PAGES
pp. 28 - 35

 Articles related

V. P. Martsenyuk, O. O. Stakhanska    

In the work the topics of software implementation of rule induction method based on sequential covering algorithm are considered. Such approach allows us to develop clinical decision support system. The project is implemented within Netbeans IDE based on... see more


V. P. Martsenyuk, I Ye. Andrushchak    

The work presents our results in field of application of system analysis methods to problem of medical research. We emphasize effects of uncertainty that should be taken into account in such complex processes. Medical system research requires information... see more


Eric Araka, Robert Oboko, Elizaphan Maina, Rhoda Gitonga    

With the increased emphasis on the benefits of self-regulated learning (SRL), it is important to make use of the huge amounts of educational data generated from online learning environments to identify the appropriate educational data mining (EDM) techni... see more


Gabriel Rubio Pirillo,Maurício Guimarães Bergerman,Kayleigh Meneghini,Eduardo Monma,Humberto La Serna    

The number of Mining Engineering courses has increased in Brazil since 2004, resulting in a significant rise in the number of graduates. However, such growth was not followed by an equivalent rise in the number of applications for professional registrati... see more

Revista: Holos

Fezzeh Ebrahimi,Asefeh Asemi,Ahmad Shabani,Amin Nezarat    

Nowadays, scientific collaboration has dramatically increased due to web-based technologies, advanced communication systems, and information and scientific databases. The present study aims to provide a predictive model for author collaborations in bioin... see more