Results 221 to 230 of about 1,280,155 (271)

Artificial Intelligence in Venous Thromboembolism Prevention: A Narrative Review of Machine Learning, Deep Learning, and Natural Language Processing. [PDF]

J Cardiovasc Dev Dis
Crisan DN, Cut TG, Herlo LF, Ivanovic N, Herlo A, Alexandrescu L, Sălcudean A, Dumache R.   +7 more
europepmc   +1 more source

Applying machine learning and natural language processing to patient safety event reports: Identifying patterns of cardiovascular diagnostic errors. [PDF]

PLoS One
Tabaie A, Tran AK, Parau C, Bennett SS, Kazi S, Smith K, Yosaitis J, Miller KE.   +7 more
europepmc   +1 more source

Clinical evaluation of MiADE: a natural language processing system for assisting structured diagnosis recording at the point of care. [PDF]

BMJ Health Care Inform
McErlean M, Ross J, Kossoff J, Amran M, Brandreth J, Zhu L, Philippo G, Wong WK, Asselbergs FW, Dobson RJB, Jani Y, Costanza E, Shah AD.   +12 more
europepmc   +1 more source

Comparison of Patient Reviews for Submental Liposuction and Kybella Using Deep Learning and Natural Language Processing: Is There a Superior Intervention for Submental Adiposity? [PDF]

Aesthet Surg J
Fijany AJ, Boctor MJ, Humphrey JG, Montorfano L, Karagoz H, Gupta SC.   +5 more
europepmc   +1 more source

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Natural language processing

Science, 1991
Languages which have emerged in the history of human culture, such as English, Japanese and Swahili, are called natural languages. Contrarily, languages designed to be understood mechanically, such as musical scores and programming languages, are called artificial languages.
openaire   +3 more sources