sj-docx-4-dhj-10.1177_20552076211057662 - Supplemental material for Automatic extraction of 12 cardiovascular concepts from German discharge letters using pre-trained language models

Autor:	Richter-Pechanski, Phillip, Geis, Nicolas A, Kiriakou, Christina, Schwab, Dominic M, Dieterich, Christoph
Rok vydání:	2021
Předmět:	FOS: Computer and information sciences 200299 Cultural Studies not elsewhere classified Science Policy FOS: Clinical medicine FOS: Political science 150310 Organisation and Management Theory Cardiology 111799 Public Health and Health Services not elsewhere classified FOS: Health sciences 110306 Endocrinology 110308 Geriatrics and Gerontology 99999 Engineering not elsewhere classified FOS: Sociology FOS: Economics and business 111099 Nursing not elsewhere classified FOS: Other engineering and technologies Sociology 111708 Health and Community Services Anthropology 111702 Aged Health Care 89999 Information and Computing Sciences not elsewhere classified FOS: Other humanities 160512 Social Policy 111299 Oncology and Carcinogenesis not elsewhere classified
ISSN:	2055-2076
DOI:	10.25384/sage.17104930
Popis:	Supplemental material, sj-docx-4-dhj-10.1177_20552076211057662 for Automatic extraction of 12 cardiovascular concepts from German discharge letters using pre-trained language models by Phillip Richter-Pechanski, Nicolas A Geis, Christina Kiriakou, Dominic M Schwab and Christoph Dieterich in Digital Health
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::30ee4569f0a52c52ae11f72b8f115980 Zobrazit plný text záznamu