Results 131 to 140 of about 31,354 (250)

Research on daily medication and drug efficacy evaluation for chronic diseases based on natural language processing (NLP). [PDF]

Front Public Health
Jiang T, Yu Z, Zhang L, Ge L, Wang X, Li T, Wang N, Wang Z.   +7 more
europepmc   +1 more source

eGFR slope as predictor of mortality in heart failure patients

ESC Heart Failure, Volume 12, Issue 2, Page 1217-1226, April 2025.
Abstract Aims Heart failure (HF) leads to an imbalance between heart and kidney function, resulting in poor outcomes. However, the prognostic significance of the estimated glomerular filtration rate (eGFR) trajectory in HF patients remains unclear. We analysed electronic health records (EHRs) of real‐world HF patients, assessing eGFR trajectories and ...
Sofie Verstreken, Monika Beles, Clara L. Oeste, Ana Moya, Imke Masuy, Riet Dierckx, Ward Heggermont, Jeroen Dauw, Dries Hens, Jozef Bartunek, Marc Vanderheyden   +10 more
wiley   +1 more source

Employing bibliometrics and natural language processing (NLP) to analyse real-world applications of adverse drug reaction. [PDF]

Explor Res Clin Soc Pharm
Dsouza VS, Leyens L, Brand A.
europepmc   +1 more source

Natural language processing (NLP) tools in extracting biomedical concepts from research articles: a case study on autism spectrum disorder. [PDF]

BMC Med Inform Decis Mak, 2020
Peng J, Zhao M, Havrilla J, Liu C, Weng C, Guthrie W, Schultz R, Wang K, Zhou Y.   +8 more
europepmc   +1 more source

Ambient technology in epilepsy clinical practice

Epilepsia Open, EarlyView.
Abstract The utilization of large language model‐based artificial intelligence (AI) in the field of neurology has gained attention as a viable tool to enhance and assist providers with processes ranging from scheduling patients to providing preliminary interpretations of testing results, pending orders, and documenting encounters. Epileptologists could
Haania Kakwan, Justin F. Rousseau, Lidia M. Moura, Irfan S. Sheikh   +3 more
wiley   +1 more source

Natural Language Processing (NLP): Identifying Linguistic Gender Bias in Electronic Medical Records (EMRs). [PDF]

J Patient Exp
Xu S, Sun M.
europepmc   +1 more source

Natural Language Processing (NLP) in Artificial Intelligence

World Journal of Advanced Research and Reviews
Natural language processing (NLP) which is a branch of Artificial Intelligence (AI) has experienced significant improvement in the recent past to allow machines to language comprehend and generate. They consist of uses like machine translation, sentiment analysis, chatbots, and virtual assistants, which form a cornerstone part of life.
openaire   +2 more sources

Evaluating the impact of an AI‐powered chatbot on epilepsy education and stigma reduction: A pre‐post intervention study using EpiloBot

Epilepsia Open, EarlyView.
Abstract Objective Effective epilepsy management requires accurate epilepsy knowledge, active patient engagement, and stigma reduction to improve health outcomes. Educational interventions have been shown to enhance patients' quality of life (QOL) and knowledge. This study evaluated the effectiveness of EpiloBot, an artificial intelligence (AI)‐powered
Izumi Kuramochi, Ryoya Oba, Naoki Nozawa, Tomoki Ishihara, Koko Oga, Takayuki Iwayama, Takafumi Shiganami, Sayaka Kobayashi, Hironori Kuga, Haruo Yoshimasu, Keiichi Watanuki   +10 more
wiley   +1 more source

Can Natural Language Processing (NLP) Provide Consultancy to Patients About Edentulism Teeth Treatment? [PDF]

Cureus
Güzelce Sultanoğlu E.
europepmc   +1 more source

The 2019 National Natural language processing (NLP) Clinical Challenges (n2c2)/Open Health NLP (OHNLP) shared task on clinical concept normalization for clinical records. [PDF]

J Am Med Inform Assoc, 2020
Henry S, Wang Y, Shen F, Uzuner O.
europepmc   +1 more source