Text Prediction on Structured Data Entry in Healthcaredoi:10.4338/ACI-2013-11-RA-0095L. HuaS. WangY. GongSchattauer PublishersApplied Clinical Informatics
Introduction: With many anonymization algorithms developed for structured medical health data (SMHD) in the last decade, our systematic review provides a comprehensive bird's eye view of algorithms for SMHD anonymization. Methods: This systematic review was conducted according to the recommendations in ...
DrugBank is a global provider of structured drug information and patient insight tools that accelerate drug research and improve healthcare delivery.
Structured data Search Relevance 1. Introduction In an effort to improve safety most healthcare systems have a patient safetyreporting system(PSRS) in place[1],[2]. These systems provide a method for staff, including physicians, nurses, and technicians, to report on safety events in their envir...
This brings along immense legal and ethical challenges, especially in the European Union (EU), where the export of personal health data is not legally permitted23,24. Ideally, LLMs should run on-premise of healthcare institutions, potentially even at the point of care25,26. However, this ...
Which is helpful from large scale data sets. Useful and meaningful data can be extracted from this big data with the help of data mining by processing on that data. In this paper We collect the healthcare data which consist of all the details of the patients their symptoms, disease etc. ...
Background Free text documents in healthcare settings contain a wealth of information not captured in electronic healthcare records (EHRs). Epilepsy clinic letters are an example of an unstructured data source containing a large amount of intricate disease information. Extracting meaningful and contextual...
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Patent 7,945,453 for a structured data authoring and editing system to improve healthcare institutions in Los Angeles, California. Dr. Scott Weingarten, president of Zynx Health Inc., says that the patent extends their ability to enable clients to deliver context-specific clinical conten...