<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Zhao H</submitter><funding>National Natural Science Foundation of China</funding><pagination>e031191</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7103794</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>10(3)</volume><pubmed_abstract>&lt;h4>Objective&lt;/h4>We aimed to evaluate the validity of an algorithm to classify diagnoses according to the appropriateness of outpatient antibiotic use in the context of Chinese free text.&lt;h4>Setting and participants&lt;/h4>A random sample of 10 000 outpatient visits was selected between January and April 2018 from a national database for monitoring rational use of drugs, which included data from 194 secondary and tertiary hospitals in China.&lt;h4>Research design&lt;/h4>Diagnoses for outpatient visits were classified as tier 1 if associated with at least one condition that 'always' justified antibiotic use; as tier 2 if associated with at least one condition that only 'sometimes' justified antibiotic use but no conditions that 'always' justified antibiotic use; or as tier 3 if associated with only</pubmed_abstract><journal>BMJ open</journal><pubmed_title>Validation of an algorithm to evaluate the appropriateness of outpatient antibiotic prescribing using big data of Chinese diagnosis text.</pubmed_title><pmcid>PMC7103794</pmcid><funding_grant_id>81973146</funding_grant_id><funding_grant_id>81473067</funding_grant_id><funding_grant_id>91646107</funding_grant_id><pubmed_authors>Zhuo L</pubmed_authors><pubmed_authors>Zhang Z</pubmed_authors><pubmed_authors>Zhan S</pubmed_authors><pubmed_authors>Ying Y</pubmed_authors><pubmed_authors>Zhang M</pubmed_authors><pubmed_authors>Bian J</pubmed_authors><pubmed_authors>Yao X</pubmed_authors><pubmed_authors>Li L</pubmed_authors><pubmed_authors>Wei L</pubmed_authors><pubmed_authors>Cao B</pubmed_authors><pubmed_authors>Zhao H</pubmed_authors></additional><is_claimable>false</is_claimable><name>Validation of an algorithm to evaluate the appropriateness of outpatient antibiotic prescribing using big data of Chinese diagnosis text.</name><description>&lt;h4>Objective&lt;/h4>We aimed to evaluate the validity of an algorithm to classify diagnoses according to the appropriateness of outpatient antibiotic use in the context of Chinese free text.&lt;h4>Setting and participants&lt;/h4>A random sample of 10 000 outpatient visits was selected between January and April 2018 from a national database for monitoring rational use of drugs, which included data from 194 secondary and tertiary hospitals in China.&lt;h4>Research design&lt;/h4>Diagnoses for outpatient visits were classified as tier 1 if associated with at least one condition that 'always' justified antibiotic use; as tier 2 if associated with at least one condition that only 'sometimes' justified antibiotic use but no conditions that 'always' justified antibiotic use; or as tier 3 if associated with only</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Mar</publication><modification>2026-05-07T07:28:25.125Z</modification><creation>2026-04-29T03:08:49.795Z</creation></dates><accession>S-EPMC7103794</accession><cross_references><pubmed>32198296</pubmed><doi>10.1136/bmjopen-2019-031191</doi></cross_references></HashMap>