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 ...

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 ...

Natural language processing can be used for automated extraction of social work interventions from electronic health records, thereby supporting social work staffing and resource allocation decisions.

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 ...

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 ...

In their search for new disease-fighting medicines, drug makers have long employed a laborious trial-and-error process to identify the right compounds. But what if ...

Accern Corp., a natural language processing startup focused on the financial services sector, today announced that it has closed a $20 million funding round co-led by Mighty Capital and Fusion Fund.

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Development and Validation of Dynamic 5-Year Breast Cancer Risk Model Using Repeated Mammograms Using nationwide electronic health record (EHR) and cancer registry data from the VA Corporate Data ...