This information is over 2 years old. Information was current at time of publication.{"id":8126,"date":"2015-01-21T15:01:01","date_gmt":"2015-01-21T19:01:01","guid":{"rendered":"http:\/\/info.hsls.pitt.edu\/updatereport\/?p=8126"},"modified":"2015-02-09T11:10:41","modified_gmt":"2015-02-09T15:10:41","slug":"%e2%80%9cmesh-on-demand%e2%80%9d-a-helpful-pubmed-search-tool","status":"publish","type":"post","link":"https:\/\/info.hsls.pitt.edu\/updatereport\/%e2%80%9cmesh-on-demand%e2%80%9d-a-helpful-pubmed-search-tool\/","title":{"rendered":"\u201cMeSH on Demand\u201d: A Helpful PubMed Search Tool"},"content":{"rendered":"

Do you ever have trouble coming up with relevant medical subject headings (MeSH) for your PubMed searches? Well, help is here! NLM has developed a natural language processing tool called \u201cMeSH on Demand<\/a>\u201d that analyzes a block of text and returns a list of relevant medical subject headings.<\/p>\n

Here\u2019s how it works:<\/p>\n

1. Type or copy\/paste your text into the \u201cMeSH on Demand\u201d search box (up to 10,000 characters). The simple example, \u201cHow many hours should residents work?\u201d<\/strong> was typed into the text box below.<\/p>\n

2. After adding your text, click on the Find MeSH Terms<\/strong> button on the right side of the screen. Processing time usually takes about 35-45 seconds, but can vary depending on the length of the request. After submitting your inquiry, there is no indication that it is being processed so be patient.\"MESH1\"<\/p>\n

3. On the Results page, you\u2019ll find:<\/p>\n