<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: Possible and Probable Cases in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/Possible-and-Probable-Cases/m-p/617348#M180894</link>
    <description>Find all of the words that are diagnosis in your file. &lt;BR /&gt;&lt;BR /&gt;Find all words on either side, accounting for punctuation, using a two to five word window. Look at that data to determine your rules.</description>
    <pubDate>Tue, 14 Jan 2020 23:31:37 GMT</pubDate>
    <dc:creator>Reeza</dc:creator>
    <dc:date>2020-01-14T23:31:37Z</dc:date>
    <item>
      <title>Possible and Probable Cases</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Possible-and-Probable-Cases/m-p/617325#M180879</link>
      <description>&lt;P&gt;&lt;SPAN&gt;If I want to find possible and probable cases of a disease using full-text search from a cohort of people, what would some suggestions be?&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;For example, I have two variables: PatientNumber and Text. In some cases, the text tells me immediately - "Possible diagnosis" - but other times, the text never uses "possible" or "probable." I don't know if I can search for "might have diagnosis" because I don't think doctors write that, but I don't want to eliminate possible cases just because they don't have the word "possible" or "probable" in it.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Any ideas would be useful. Please help!&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 14 Jan 2020 21:47:10 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Possible-and-Probable-Cases/m-p/617325#M180879</guid>
      <dc:creator>mar00390</dc:creator>
      <dc:date>2020-01-14T21:47:10Z</dc:date>
    </item>
    <item>
      <title>Re: Possible and Probable Cases</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Possible-and-Probable-Cases/m-p/617329#M180881</link>
      <description>&lt;P&gt;Take a sample of the unclassified text (i.e. that don't have "probable" or "possible").&amp;nbsp; BTW, you did screen for negatives right, like "not probable"?.&amp;nbsp; See if there are expressions you conclude mean probable or possible.&amp;nbsp; Add those expressions to your classification logic.&amp;nbsp; Apply to your data, thereby reducing the number of unclassified.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Repeat the above with a sample of the remaining unclassified text.&lt;/P&gt;</description>
      <pubDate>Tue, 14 Jan 2020 22:00:40 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Possible-and-Probable-Cases/m-p/617329#M180881</guid>
      <dc:creator>mkeintz</dc:creator>
      <dc:date>2020-01-14T22:00:40Z</dc:date>
    </item>
    <item>
      <title>Re: Possible and Probable Cases</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Possible-and-Probable-Cases/m-p/617348#M180894</link>
      <description>Find all of the words that are diagnosis in your file. &lt;BR /&gt;&lt;BR /&gt;Find all words on either side, accounting for punctuation, using a two to five word window. Look at that data to determine your rules.</description>
      <pubDate>Tue, 14 Jan 2020 23:31:37 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Possible-and-Probable-Cases/m-p/617348#M180894</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2020-01-14T23:31:37Z</dc:date>
    </item>
  </channel>
</rss>

