Results 251 to 260 of about 762,827 (355)

EEG ASYMMETRY DURING MENTAL ARITHMETIC AND RECALLS OF VERBAL (KANJI, KANA, THE ALPHABET) AND VISUAL IMAGERIES

, 1978
Yoshikuni Tojo
openalex   +2 more sources

Larger models yield better results? Streamlined severity classification of ADHD-related concerns using BERT-based knowledge distillation. [PDF]

PLoS One
Karim AAJ, Asad KHM, Alam MGR.
europepmc   +1 more source

Evaluating of BERT-based and Large Language Mod for Suicide Detection, Prevention, and Risk Assessment: A Systematic Review. [PDF]

J Med Syst
Levkovich I, Omar M.
europepmc   +1 more source

Classifying Unstructured Text in Electronic Health Records for Mental Health Prediction Models: Large Language Model Evaluation Study.

JMIR Med Inform
Cardamone NC, Olfson M, Schmutte T, Ungar L, Liu T, Cullen SW, Williams NJ, Marcus SC.   +7 more
europepmc   +1 more source

Verbal narrative ability and episodic autobiographical memory in adolescents and young adults with 22q11.2 deletion syndrome. [PDF]

J Neurodev Disord
Mayor C, Husmann J, Benaghmouch S, Eliez S, Feller C, Schneider M.   +5 more
europepmc   +1 more source

Recalling and anticipating positive events to improve the positive affect and mental health of adolescents: A cluster randomized controlled trial in secondary schools

Liesbeth Bogaert, David John Hallford, Eline Loyen, Arnaud D’Argembeau, Filip Raes   +4 more
openalex   +1 more source

Decoding substance use disorder severity from clinical notes using a large language model. [PDF]

Npj Ment Health Res
Mahbub M, Dams GM, Srinivasan S, Rizy C, Danciu I, Trafton J, Knight K.   +6 more
europepmc   +1 more source

Understanding the social and emotional domains of physical literacy in post‐secondary education: A scoping review

The Curriculum Journal, EarlyView.
Abstract While a variety of definitions persist, a common definition of physical literacy is that it encompasses the motivation, confidence, physical competence, knowledge and understanding to value and take responsibility for engagement in physical activities over the lifespan.
Nadine Van Wyk, Mark Lafave, Lynne Lafave, Breda Eubank, Marty Clark, Erik Christiansen   +5 more
wiley   +1 more source

Predicting total healthcare demand using machine learning: separate and combined analysis of predisposing, enabling, and need factors. [PDF]

BMC Health Serv Res
Orhan F, Kurutkan MN.
europepmc   +1 more source

Predicting mental health disparities using machine learning for African Americans in Southeastern Virginia. [PDF]

Sci Rep
Moudden IE, Bittner MC, Karpov MV, Osunmakinde IO, Acheamponmaa A, Nevels BJ, Mbaye MT, Fields TL, Jordan K, Bahoura M.   +9 more
europepmc   +1 more source