The global healthcare Natural Language Processing (NLP) market is expected to grow from $1.10 billion in 2015 to $2.67 billion by 2020, according to a new report. That forecast translates to a ...
Recent advancements in natural language processing (NLP) are revolutionising how healthcare systems harness insights from unstructured data. By transforming free-text clinical narratives into ...
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 ...
We developed precompiled lexicons and classification rules as features for the following ML classifiers: logistic regression, random forest, and support vector machines (SVMs). These features were ...
Lewes, Delaware, Jan. 09, 2026 (GLOBE NEWSWIRE) -- The Global Natural Language Processing (NLP) In Healthcare And Life Sciences Market Size is projected to grow at a CAGR of 19.82% from 2024 to 2031, ...
LIVONIA, Mich.--(BUSINESS WIRE)--MedCerts has launched its first Conversational AI /Generative AI healthcare training programs available on the market today. A subsidiary of Stride, Inc. (NYSE: LRN), ...
Healthcare IT executives know they need to find a way to mine unstructured data to generate maximum value in an increasingly data-driven environment, and many are considering natural language ...
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 ...
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 ...
Every time a physician or a nurse practitioner sees a patient, they create a document. It may be a clinic note or an encounter note. Similarly, every time a diagnostic physician such as a radiologist ...
Electronic Health Records (EHRs) contain abundant free text data that are valuable for research and operation in the medical domain. Natural language processing (NLP) technologies have shown great ...
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