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Using classified text and deep learning algorithms to identify medical risk and provide early warning

  • US 9,754,220 B1
  • Filed: 01/23/2017
  • Issued: 09/05/2017
  • Est. Priority Date: 07/01/2016
  • Status: Expired due to Fees
First Claim
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1. A method of using classified text and deep learning algorithms to identify medical risk and provide early warning comprising:

  • obtaining one or more training datasets for textual data corresponding to one or more risk classifications, wherein said risk classification comprises one or more specific medical diagnoses of interest;

    training one or more deep learning algorithms using said one or more training datasets;

    obtaining and indexing an internal electronic health record (EHR) of a patient;

    applying said one or more deep learning algorithms to said internal EHR to identify and report any one of said one or more specific medical diagnoses of interest;

    determining if said identified one of said one or more specific medical diagnoses of interest is a false positive or a true positive; and

    re-training said one or more deep learning algorithms if said identified one of said one or more specific medical diagnoses of interest is a false positive.

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