A study by the Regenstrief Institute and Indiana University has demonstrated the potential of using natural language processing technology to extract social risk factor information from clinical notes ...
Natural language processing is a branch of artificial intelligence that aims to enable computers to process, understand, interpret and manipulate human language. After decades of exploring, current ...
Computer-Assisted Flagging of Individuals at High Risk of Colorectal Cancer in a Large Health Maintenance Organization Using the ColonFlag Test Patients undergoing TURBT were retrospectively ...
The healthcare industry has been transformed by the digitization of patient details throughout the day and so the manner of storage and handling is also changed. Electronic Health Records (EHRs) are ...
Key oncology end points are not routinely encoded into electronic medical records (EMRs). We assessed whether natural language processing (NLP) can abstract treatment discontinuation rationale from ...
It’s difficult enough for a computer to understand a simple sentence. So how do you train it to recognize even the most representative keywords of a document that might run 10 or 20 pages in length?
When working in healthcare, a lot of the relevant information for making accurate predictions and recommendations is only available in free-text clinical notes. Much of this data is trapped in ...
What if you could simplify the complexities of natural language processing (NLP) without sacrificing accuracy or efficiency? For years, developers and researchers have wrestled with the steep learning ...
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