Results 181 to 190 of about 39,453 (246)

🚀 NLP Colloquium

Journal of Natural Language Processing
Ayana Niwa, Sho Yokoi, Junya Takayama, Itsumi Saito   +3 more
openaire   +1 more source

Application of a natural language processing algorithm to early asthma ascertainment for adults in the era of electronic health records. [PDF]

J Allergy Clin Immunol Glob
Wi CI, Pongdee T, Seol HY, Sohn S, Sagheb E, Agnikula Kshatriya BS, Overgaard SM, Sharma DK, Moon S, Krusemark EA, Watson D, Chiarella SE, Park MA, Greenwood JD, Foss RM, Liu Z, Gupta M, Davis CM, Schulz W, Liu H, Juhn YJ.   +20 more
europepmc   +1 more source

Artificial intelligence in virtual fracture clinics: a systematic review of imaging and clinical-text tools. [PDF]

J Orthop Surg Res
Sukhbaatar T, Davies A, Koye A, Hashem M, Sivaloganathan S.   +4 more
europepmc   +1 more source

Human Capital Disclosure and Labor Market Outcomes: Evidence from Regulation S‐K

Journal of Accounting Research, EarlyView.
ABSTRACT We examine the labor market consequences of the 2020 Regulation S‐K requiring human capital disclosure in 10K filings. Using large‐sample job‐level data and a Generative Large Language Model (GLLM), we observe that public firms subject to the regulation increase their disclosure of diversity, equity, and inclusion (DEI) information in job ...
Jung Ho Choi, Dan Li, Daniele Macciocchi
wiley   +1 more source

Detection of Antithrombotic-Related Bleeding in Older Inpatients: Multicenter Retrospective Study Using Structured and Unstructured Electronic Health Record Data.

J Med Internet Res
Coumau C, Gaspar F, Zayene M, Bertrand E, Alberio L, Lovis C, Beeler PE, Rinaldi F, Lutters M, Le Pogam MA, Csajka C, SwissMADE Collaborators.   +11 more
europepmc   +1 more source

Assessing genetic counseling efficiency with natural language processing. [PDF]

J Am Med Inform Assoc
Nguyen MH, Applegate CD, Murray B, Zirikly A, Tichnell C, Gordon C, Yanek LR, James CA, Taylor CO.   +8 more
europepmc   +1 more source

Improving drug identification in overdose death surveillance by using clinical natural language processing models

Journal of Forensic Sciences, EarlyView.
Abstract The rising rate of drug‐related deaths in the United States, largely driven by fentanyl, requires timely and accurate surveillance. However, critical overdose data are often buried in free‐text coroner reports, leading to delays and information loss when coded into ICD (International Classification of Disease)‐10 classifications.
Arthur J. Funnell, Panayiotis Petousis, Fabrice Harel‐Canada, Ruby Romero, Alex A. T. Bui, Adam Koncsol, Hritika Chaturvedi, Chelsea Shover, David Goodman‐Meza   +8 more
wiley   +1 more source

Data Science Education for Residents, Researchers, and Students in Psychiatry and Psychology: Program Development and Evaluation Study.

JMIR Med Educ
Donnelly HK, Mandell D, Hwang S, Schriver E, Vurgun U, Neill G, Patel E, Reilly ME, Steinberg M, Calloway A, Gallop R, Oquendo MA, Brown GK, Mowery DL.   +13 more
europepmc   +1 more source

Identifying Early Signals From Emerging Public Health Events Using Natural Language Processing. [PDF]

Interdiscip Perspect Infect Dis
Peterson KS, Dalton C, Kalvesmaki A, Vuong J, Gordon C, Nachimuthu S, Pugh MJ, Jones MM.   +7 more
europepmc   +1 more source

Text mining for case report articles on “peritoneal dialysis” from PubMed database

Therapeutic Apheresis and Dialysis, Volume 29, Issue 3, Page 459-470, June 2025.
Abstract Introduction The number of published medical articles on peritoneal dialysis (PD) has been increasing, and efficiently selecting information from numerous articles can be difficult. In this study, we examined whether artificial intelligence (AI) text mining can be a good support for efficiently collecting PD information.
Kazuhiko Fukushima, Kenji Tsuji, Hiroyuki Nakanoh, Naruhiko Uchida, Soichiro Haraguchi, Shinji Kitamura, Jun Wada   +6 more
wiley   +1 more source