Overcoming the identified issues and barriers will improve the readiness of EHRs for cancer research and patient care, thus propelling translational clinical research and care. In our scoping review, ...
The "Mind Games" podcast dives deep into one of psychology's most controversial and influential techniques: Neuro-Linguistic ...
Deep-Transfer-Learning–Based Natural Language Processing of Serial Free-Text Computed Tomography Reports for Predicting Survival of Patients With Pancreatic Cancer The first approach led to a ...
Natural language processing (NLP) shows “promise” in improving electronic health record documentation, recent research shows. EHRs need clinical notes and reports to be in both human readable and ...
Natural language processing libraries, including NLTK, spaCy, Stanford CoreNLP, Gensim and TensorFlow, provide pre-built tools for processing and analyzing human language. Natural language processing ...
Electronic Medical Records for Clinical Research: Application to the Identification of Heart Failure
Objective: To identify patients with heart failure (HF) by using language contained in the electronic medical record (EMR). Methods: We validated 2 methods of identifying HF through the EMR, which ...
What are the main differences between NLP for Chinese vs NLP for English? originally appeared on Quora - the place to gain and share knowledge, empowering people to learn from others and better ...
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