Dramatyping: a generic algorithm for detecting reasonable temporal correlations between drug administration and lab value alterations
According to the World Health Organization, one of the criteria for the standardized assessment of case causality in adverse drug reactions is the temporal relationship between the intake of a drug and the occurrence of a reaction or a laboratory test abnormality. This article presents and describes...
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2016-03-01
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| Series: | PeerJ |
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| Online Access: | https://peerj.com/articles/1851.pdf |
| _version_ | 1797418844906586112 |
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| author | Axel Newe |
| author_facet | Axel Newe |
| author_sort | Axel Newe |
| collection | DOAJ |
| description | According to the World Health Organization, one of the criteria for the standardized assessment of case causality in adverse drug reactions is the temporal relationship between the intake of a drug and the occurrence of a reaction or a laboratory test abnormality. This article presents and describes an algorithm for the detection of a reasonable temporal correlation between the administration of a drug and the alteration of a laboratory value course. The algorithm is designed to process normalized lab values and is therefore universally applicable. It has a sensitivity of 0.932 for the detection of lab value courses that show changes in temporal correlation with the administration of a drug and it has a specificity of 0.967 for the detection of lab value courses that show no changes. Therefore, the algorithm is appropriate to screen the data of electronic health records and to support human experts in revealing adverse drug reactions. A reference implementation in Python programming language is available. |
| first_indexed | 2024-03-09T06:38:50Z |
| format | Article |
| id | doaj.art-04240c5d08054555842b9132b095f1db |
| institution | Directory Open Access Journal |
| issn | 2167-8359 |
| language | English |
| last_indexed | 2024-03-09T06:38:50Z |
| publishDate | 2016-03-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ |
| spelling | doaj.art-04240c5d08054555842b9132b095f1db2023-12-03T10:53:38ZengPeerJ Inc.PeerJ2167-83592016-03-014e185110.7717/peerj.1851Dramatyping: a generic algorithm for detecting reasonable temporal correlations between drug administration and lab value alterationsAxel Newe0Chair of Medical Informatics, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, GermanyAccording to the World Health Organization, one of the criteria for the standardized assessment of case causality in adverse drug reactions is the temporal relationship between the intake of a drug and the occurrence of a reaction or a laboratory test abnormality. This article presents and describes an algorithm for the detection of a reasonable temporal correlation between the administration of a drug and the alteration of a laboratory value course. The algorithm is designed to process normalized lab values and is therefore universally applicable. It has a sensitivity of 0.932 for the detection of lab value courses that show changes in temporal correlation with the administration of a drug and it has a specificity of 0.967 for the detection of lab value courses that show no changes. Therefore, the algorithm is appropriate to screen the data of electronic health records and to support human experts in revealing adverse drug reactions. A reference implementation in Python programming language is available.https://peerj.com/articles/1851.pdfAlgorithmTemporal correlationObservable drug eventDramatypingAdverse drug reaction |
| spellingShingle | Axel Newe Dramatyping: a generic algorithm for detecting reasonable temporal correlations between drug administration and lab value alterations PeerJ Algorithm Temporal correlation Observable drug event Dramatyping Adverse drug reaction |
| title | Dramatyping: a generic algorithm for detecting reasonable temporal correlations between drug administration and lab value alterations |
| title_full | Dramatyping: a generic algorithm for detecting reasonable temporal correlations between drug administration and lab value alterations |
| title_fullStr | Dramatyping: a generic algorithm for detecting reasonable temporal correlations between drug administration and lab value alterations |
| title_full_unstemmed | Dramatyping: a generic algorithm for detecting reasonable temporal correlations between drug administration and lab value alterations |
| title_short | Dramatyping: a generic algorithm for detecting reasonable temporal correlations between drug administration and lab value alterations |
| title_sort | dramatyping a generic algorithm for detecting reasonable temporal correlations between drug administration and lab value alterations |
| topic | Algorithm Temporal correlation Observable drug event Dramatyping Adverse drug reaction |
| url | https://peerj.com/articles/1851.pdf |
| work_keys_str_mv | AT axelnewe dramatypingagenericalgorithmfordetectingreasonabletemporalcorrelationsbetweendrugadministrationandlabvaluealterations |