Art

J-GLOBAL ID：202002290455125812   Reference number：20A0844282

人工知能を用いた臨床エビデンスの統合と体系化

Author (6)： YAMADA TOMOHIDE (東大 糖尿病・代謝内科 保健・健康推進本部内科) ,  NOMA HISAFUMI (統計数理研) ,  ANANIADOU Sophia (マンチェスター大) ,  ANANIADOU Sophia (英国国立テキストマイニングセ) ,  MORI RINTARO (コクラン共同計画) ,  MORI RINTARO (国立成育医療研究セ 研)
Material： 大和証券ヘルス財団研究業績集
Volume： 43  Page： 20-23  Publication year： Mar. 10, 2020 
JST Material Number： S0242B  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *artificial intelligence ,...
Semi thesaurus term： *臨床エビデンス

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JST classification (2)： Documentation  (GA01020J) ,  Artificial intelligence  (JE08000Z)

Reference (12)：

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• GBD 2017 SDG Collaborators. Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018 Nov 10;392 (10159) :2091-2138.
• GBD 2017 Population and Fertility Collaborators. Population and fertility by age and sex for 195 countries and territories, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018 Nov 10;392 (10159) :1995-2051.
• GBD 2017 Risk Factor Collaborators. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018 Nov 10;392 (10159) :1923-1994.

Terms in the title (4)： 人工知能 ,  臨床 ,  エビデンスの統合 ,  体系