Contextual Anomalies in Medical Data

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

Daniela Vasco (Author) Other; Pedro Pereira Rodrigues (Author) FMUP; Joao Gama (Author) FEP

Conference proceedings International

Title: 2013 IEEE 26TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS)

Pages: 544-545

26th IEEE International Symposium on Computer-Based Medical Systems (CBMS)

Porto, PORTUGAL, JUN 20-22, 2013

Indexing

ISI Web of Knowledge - 0 Citations

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Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Health sciences

Other information

Authenticus ID: P-008-HXG

DOI: 10.1109/CBMS.2013.6627869

Abstract (EN): Anomalies in data can cause a lot of problems in the data analysis processes. Thus, it is necessary to improve data quality by detecting and eliminating errors and inconsistencies in the data, known as the data cleaning process [1]. Since detection and correction of anomalies requires detailed domain knowledge, the involvement of experts in the field is essential to the success of the process of cleaning the data. However, considering the size of data to be processed, this process should be as automatic as possible so as to minimize the time spent [1]. © 2013 IEEE.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 2