2022
DOI: 10.2196/preprints.40965
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Real-Time Classification of Causes of Death Using AI: Sensitivity Analysis (Preprint)

Abstract: BACKGROUND In 2021, European Union registered over 365,000 excess deaths, with over 16,000 excess deaths in Portugal. The Portuguese Directorate-General of Health (DGS) has developed a deep neural network – AUTOCOD – that codifies primary causes of death by analyzing the free text in the physicians' death certificates (DC). Although the performance of AUTOCOD has already been demonstrated, it was not clear if this performance was the same over time, especially during excess mortality pe… Show more

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“…However, in a recent preprint study using Portuguese death certification data, an automated coding process using artificial intelligence was shown to be sensitive compared to human coding even in periods of excess mortality, when a loss in text quality could happen due to pressure on healthcare services. 5 As such, researchers and public health services could analyze the underlying causes of death in almost real time even without the final human coding that is routinely done at the central level in DGS and takes much longer time to be finalized, possibly delaying important knowledge for policy.…”
mentioning
confidence: 99%
“…However, in a recent preprint study using Portuguese death certification data, an automated coding process using artificial intelligence was shown to be sensitive compared to human coding even in periods of excess mortality, when a loss in text quality could happen due to pressure on healthcare services. 5 As such, researchers and public health services could analyze the underlying causes of death in almost real time even without the final human coding that is routinely done at the central level in DGS and takes much longer time to be finalized, possibly delaying important knowledge for policy.…”
mentioning
confidence: 99%