title:: US20180315505A1 — Optimization of clinical decision making

patent:: US20180315505A1

status:: published 2018-11-01 · Abandoned

filed:: 2018-04-03

assignee:: Siemens Healthcare GmbH

people:: Lucian Mihai Itu, Puneet Sharma, Razvan Ionasec, Dorin Comaniciu

domain:: Machine Learning, Clinical Decision Support, Medical Imaging

link:: https://patents.google.com/patent/US20180315505A1/en

patents

Figure 1 from the published patent document. Patent drawings are public records.

Abstract

Systems and methods for optimizing the decision to perform additional clinical testing are provided. A model of cutoff values, associated with the initial clinical test and representing a tradeoff between a plurality of factors, is generated. Each of the cutoff values define a boundary within a range of results of the initial clinical test delineating results that provide a medical evaluation and results that do not provide the medical evaluation. At least one optimized cutoff value associated with the initial clinical test is determined from the cutoff values by optimizing the model based on the tradeoff between the plurality of factors. It is determined whether to perform the additional clinical test based on a result of the initial clinical test performed on the patient and the at least one optimized cutoff value.

Data Points

  • US20180315505A1 — published US application (kind code A1)
  • Filed 2018-04-03, published 2018-11-01
  • Legal status today — Abandoned
  • Assignee — Siemens Healthcare GmbH
  • Co-inventors — Lucian Mihai Itu, Puneet Sharma, Dorin Comaniciu

Part of the complete record in Patents.