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循证泌尿外科学方法——证据的分类与检索
Translated title of the contribution
:
Methodology for evidence-based urology——evidence classification and retrieval
王云云
, 秦长江
,
童铁军
, 马彬
, 曹世义
, 张超
, 任学群
, 李晓东
, 张苗
, 翁鸿
, 汪洋
, 靳英辉
, 杨璐
, 曾宪涛
Department of Mathematics
Research output
:
Contribution to journal
›
Journal article
›
peer-review
Overview
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Dive into the research topics of 'Methodology for evidence-based urology——evidence classification and retrieval'. Together they form a unique fingerprint.
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Keyphrases
Artificial Intelligence Technology
33%
Category Identification
33%
Classification Methods
33%
Evidence Classification
66%
Evidence Retrieval
33%
Evidence-based
100%
Evidence-based Medicine
33%
Future Development Trend
33%
PubMed
33%
Resource Construction
33%
Retrieval Methods
33%
Retrieval Strategies
33%
Structured Template
33%
Urology
100%
Web of Science
33%
Medicine and Dentistry
Artificial Intelligence
33%
DNA Template
33%
Evidence-Based Medicine
33%
Urology
100%
Neuroscience
DNA Template
100%