Results 251 to 260 of about 51,786 (296)

Natural Language Processing for Substance Use Disorder Information Extraction: A Systematic Literature Review. [PDF]

Curr Addict Rep
Wyse RJ, Samuels DC, Sanchez-Roige S, Schirle L, Rhoten BA, Lee SY, Jeffery AD.   +6 more
europepmc   +1 more source

Automated Identification of Cancer-Associated Thrombosis Events via Natural Language Processing: A Systematic Review of the Literature. [PDF]

Bleeding Thromb Vasc Biol
Boyne A, Zhou E, Li A.
europepmc   +1 more source

Leveraging natural language processing artificial intelligence for automated data extraction of ejection fraction and strain from cardiovascular imaging reports. [PDF]

Am Heart J Plus
Brown SA, BagheriMohamadiPour M, Sparapani R, Osinski K, Zhang J, Echefu G, Stowe I, Hamid A, Kothari A, Cardio-Oncology Artificial Intelligence Informatics Precision & Equity (CAIPE) Research Team Investigators.   +9 more
europepmc   +1 more source

Using Natural Language Processing to Improve Fall Documentation in VA Nursing Home Residents. [PDF]

J Am Med Dir Assoc
Graham LA, Liu X, Jing B, Lee SJ, Steinman MA, Liu CK, Dave CV, Li Y, Fung K, Odden MC.   +9 more
europepmc   +1 more source

Development and Validation of a Large Language Model Case Identification Strategy for Eosinophilic Esophagitis. [PDF]

Gastro Hep Adv
Ketchem CJ, Vurgun U, Wang A, Thomas S, Batugo A, Pandolfino JE, Falk GW, Lynch KL, Dellon ES, Mowery DL, Lewis JD.   +10 more
europepmc   +1 more source

AI - A REVIEW ON NATURAL LANGUAGE PROCESSING (NLP)

, 2021
Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) that allows system to understand the natural language. Its intention is to shape structures that could make experience of textual content and robotically carry out obligations like translation, spell check.Natural language processing (NLP) has these days received a lot ...
IEJRD
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Lexicographic Environments in Natural Language Processing (NLP)

24th Pan-Hellenic Conference on Informatics, 2020
In this paper, a literature review is presented in reference to the most important lexicographical environments that have been developed in the last decades, with the aim of utilizing them in various knowledge management applications, in the wider area of ​​the Semantic Web (SW).
Nikoletta E. Samaridi, Nikitas N. Karanikolas, Evangelos C. Papakitsos   +2 more
openaire   +1 more source

Natural Language Processing (NLP)

2022
Robert Ball, Brian Rague
  +5 more sources