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Physionet Challenge 2020 - SNOMED mappings

SNOMED codes for all diagnoses in the datasets (bjoernjostein/physionet-snomed-mappings)   []

Context

Wikipedia: *SNOMED CT or SNOMED Clinical Terms is a systematically organized computer processable collection of medical terms providing codes, terms, synonyms and definitions used in clinical documentation and reporting * This codes are use to translate diagnoses from ECG-recordings to human-readable diagnoses

Content

There are two CSV-files in this dataset. One of them describes the unscored diagnoses and the other one describes the scored diagnoses The first three columns describe the diagnoses by name, SNOMED CT code, and abbreviation. The last seven gives an overview of how many times the different diagnoses appear in the six different datasets + total among all datasets

Acknowledgements

This dataset was used in the Physionet Challenge 2020 to classify 12-lead ECG[1].

Inspiration

References

[1] Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG, Mietus JE, Moody GB, Peng CK, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation 101(23):e215-e220 [Circulation Electronic Pages; http://circ.ahajournals.org/content/101/23/e215.full]; 2000 (June 13). PMID: 10851218; doi: 10.1161/01.CIR.101.23.e215

Data summary

  • File 'SNOMED_mappings_scored.csv'

    • Table ‘SNOMED mappings scored’ consists of 27 data rows along 11 dimensions: ‘Dx’, ‘SNOMED CT Code’, ‘Abbreviation’, ‘CPSC’, ‘CPSC-Extra’, ‘StPetersburg’, ‘PTB’, ‘PTB-XL’, ‘Georgia’, ‘Total’ and ‘Notes’
  • File 'SNOMED_mappings_unscored.csv'

    • Table ‘SNOMED mappings unscored’ consists of 84 data rows along ten dimensions: ‘Dx’, ‘SNOMED CT Code’, ‘Abbreviation’, ‘CPSC’, ‘CPSC-Extra’, ‘StPetersburg’, ‘PTB’, ‘PTB-XL’, ‘Georgia’ and ‘Total’

Size: 3.4 KBSource: KaggleLast updated: 2021-09-30 19:50

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Creative Commons License

These analysis results by Inspirient GmbH are licensed under a Creative Commons Attribution 4.0 International License in conjunction with the licence of the source dataset.