Production of mortality data. The renewal of coding procedures based on deep learning (notice n° 1122132)

détails MARC
000 -LEADER
fixed length control field 01754cam a2200181 4500500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250413023859.0
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title fre
042 ## - AUTHENTICATION CODE
Authentication code dc
100 10 - MAIN ENTRY--PERSONAL NAME
Personal name Echajari, Loubna
Relator term author
245 00 - TITLE STATEMENT
Title Production of mortality data. The renewal of coding procedures based on deep learning
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2025.<br/>
500 ## - GENERAL NOTE
General note 26
520 ## - SUMMARY, ETC.
Summary, etc. Cause-of-mortality statistics are one of the oldest medical statistics available. Mortality data, which provide essential information for general knowledge on a population’s health, and are a tool for international comparisons, are also a growing challenge for the governance of public health, particularly in crisis situations. Based on a study of documents from the bodies that regulate and produce these data, the article examines the socio-technical trajectory of cause-of-mortality coding and analyses the context in which a deep-learning method was used during the COVID period. From a theoretical perspective combining the sociology of science and technology with the sociology of quantification, it interprets the integration of connectionist AI methodologies into the coding process as a further stage in the technical trajectory of the tool that began with automation. It also sheds light on the institutional context of the use of neural networks and the consolidation of that use, relating them to the recent functions of mortality statistics in the governance of health crises and issues around the availability and speed of their production.
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Jeanningros, Hugo
Relator term author
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Lewkowicz, Myriam
Relator term author
786 0# - DATA SOURCE ENTRY
Note Réseaux | o 248 | 6 | 2025-01-14 | p. 193-226 | 0751-7971
856 41 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://shs.cairn.info/journal-reseaux-2024-6-page-193?lang=en&redirect-ssocas=7080">https://shs.cairn.info/journal-reseaux-2024-6-page-193?lang=en&redirect-ssocas=7080</a>

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