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Robustness of the Tariff method for diagnosing verbal autopsies: impact of additional site data on the relationship between symptom and cause.

Hafizur Rahman ChowdhuryAbraham D FlaxmanJonathan C JosephRiley H HazardNurul AlamIan Douglas RileyAlan D Lopez
Published in: BMC medical research methodology (2019)
Tariffs generally remained consistent after adding the IMMCMC dataset. Population level performance of the Tariff method for diagnosing VAs improved marginally for all age groups in the combined dataset. These findings suggest that cause-symptom relationships of Tariff 2.0 might well be robust across different population settings in developing countries. Increasing the total number of GS deaths improves the validity of Tariff and provides a foundation for the validation of other empirical algorithms.
Keyphrases
  • machine learning
  • working memory
  • electronic health record
  • deep learning
  • patient reported
  • big data