Using nationwide electronic health record (EHR) and cancer registry data from the VA Corporate Data Warehouse, we developed and validated a rule-based NLP algorithm to extract oncologist-determined MM ...

Olaparib, Pembrolizumab, and Carboplatin as First-Line Treatment of Recurrent or Metastatic Head and Neck Squamous Cell Carcinoma: A Phase II Trial We built a natural language processing (NLP) ...

Information on the nonmedical factors that influence health outcomes, known as social determinants of health, is often collected at medical appointments. But this information is frequently recorded as ...

Researchers have found that natural language processing algorithms — algorithms that read language — may be useful for generating protein sequences and predicting virus mutations, according to MIT ...

Teaching computers to make sense of human language has long been a goal of computer scientists. The natural language that people use when speaking to each other is complex and deeply dependent upon ...

This article will look at how NLP and conversational AI are being used to improve and enhance the call center operations. Natural language processing (NLP) and conversational AI are often used ...

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 ...

The sheer volume of information produced every day makes it difficult to distinguish between real and fake news, but advances in natural language processing (NLP) present a possible solution. In today ...