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Pregled bibliografske jedinice broj: 1056096

On the Prediction of Clusters for Adverse Reactions and Allergies on Antibiotics for Children to Improve Biomedical Decision Making

Yildirim, Pinar; Majnarić, Ljiljana; Ekmekci, Ozgur Ilyas; Holzinger, Andreas
On the Prediction of Clusters for Adverse Reactions and Allergies on Antibiotics for Children to Improve Biomedical Decision Making // Availability, Reliability, and Security in Information Systems and HCI, Lecture Notes in Computer Science (2013), 8127; 431-445 doi:10.1007/978-3-642-40511-2_31 (međunarodna recenzija, članak, znanstveni)

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Naslov
On the Prediction of Clusters for Adverse Reactions and Allergies on Antibiotics for Children to Improve Biomedical Decision Making

Autori
Yildirim, Pinar ; Majnarić, Ljiljana ; Ekmekci, Ozgur Ilyas ; Holzinger, Andreas

Izvornik
Availability, Reliability, and Security in Information Systems and HCI (0302-9743) Lecture Notes in Computer Science (2013), 8127; 431-445

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Adverse reactions and allergy (ARA) knowledge discovery biomedical data mining k-means algorithm

Sažetak
In this paper, we report on a study to discover hidden patterns in survey results on adverse reactions and allergy (ARA) on antibiotics for children. Antibiotics are the most commonly prescribed drugs in children and most likely to be associated with adverse reactions. Record on adverse reactions and allergy from antibiotics considerably affect the prescription choices. We consider this a biomedical decision problem and explore hidden knowledge in survey results on data extracted from the health records of children, from the Health Center of Osijek, Eastern Croatia. We apply the K-means algorithm to the data in order to generate clusters and evaluate the results. As a result, some antibiotics form their own clusters. Consequently, medical professionals can investigate these clusters, thus gaining useful knowledge and insight into this data for their clinical studies

Izvorni jezik
Engleski



POVEZANOST RADA

Ustanove:
Medicinski fakultet, Osijek

Profili:

Avatar Url Ljiljana Majnarić (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Yildirim, Pinar; Majnarić, Ljiljana; Ekmekci, Ozgur Ilyas; Holzinger, Andreas
On the Prediction of Clusters for Adverse Reactions and Allergies on Antibiotics for Children to Improve Biomedical Decision Making // Availability, Reliability, and Security in Information Systems and HCI, Lecture Notes in Computer Science (2013), 8127; 431-445 doi:10.1007/978-3-642-40511-2_31 (međunarodna recenzija, članak, znanstveni)
Yildirim, P., Majnarić, L., Ekmekci, O. & Holzinger, A. (2013) On the Prediction of Clusters for Adverse Reactions and Allergies on Antibiotics for Children to Improve Biomedical Decision Making. Availability, Reliability, and Security in Information Systems and HCI, Lecture Notes in Computer Science (8127), 431-445 doi:10.1007/978-3-642-40511-2_31.
@article{article, author = {Yildirim, Pinar and Majnari\'{c}, Ljiljana and Ekmekci, Ozgur Ilyas and Holzinger, Andreas}, year = {2013}, pages = {431-445}, DOI = {10.1007/978-3-642-40511-2\_31}, keywords = {Adverse reactions and allergy (ARA) knowledge discovery biomedical data mining k-means algorithm}, journal = {Availability, Reliability, and Security in Information Systems and HCI}, doi = {10.1007/978-3-642-40511-2\_31}, volume = {Lecture Notes in Computer Science}, number = {8127}, issn = {0302-9743}, title = {On the Prediction of Clusters for Adverse Reactions and Allergies on Antibiotics for Children to Improve Biomedical Decision Making}, keyword = {Adverse reactions and allergy (ARA) knowledge discovery biomedical data mining k-means algorithm} }
@article{article, author = {Yildirim, Pinar and Majnari\'{c}, Ljiljana and Ekmekci, Ozgur Ilyas and Holzinger, Andreas}, year = {2013}, pages = {431-445}, DOI = {10.1007/978-3-642-40511-2\_31}, keywords = {Adverse reactions and allergy (ARA) knowledge discovery biomedical data mining k-means algorithm}, journal = {Availability, Reliability, and Security in Information Systems and HCI}, doi = {10.1007/978-3-642-40511-2\_31}, volume = {Lecture Notes in Computer Science}, number = {8127}, issn = {0302-9743}, title = {On the Prediction of Clusters for Adverse Reactions and Allergies on Antibiotics for Children to Improve Biomedical Decision Making}, keyword = {Adverse reactions and allergy (ARA) knowledge discovery biomedical data mining k-means algorithm} }

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