Results 171 to 180 of about 218,702 (269)

Migrating longitudinal African mental health data from staging to the OMOP common data model within the INSPIRE network datahub. [PDF]

Front Psychiatry
Bhattacharjee T, Mugotitsa B, Ochola M, Momanyi R, Andeso P, Amadi D, Mailosi D, Najjemba L, Greenfield J, Mabe K, Slaymaker E, Todd J, Kiragga A, INSPIRE Network .   +13 more
europepmc   +1 more source

Unsupervised phenotyping of the periodontal architecture through high‐dimensional clustering of electronic health records: A multicenter study

Journal of Periodontology, EarlyView.
Abstract Background To identify novel periodontal phenotypes using unsupervised machine learning on a large‐scale, multicenter cohort, specifically characterizing disease patterns based on the “periodontal architecture” of localized structural failures (tooth mobility and molar furcation defects) rather than global severity averages alone. Methods This
Georgios S. Chatzopoulos, Larry F. Wolff
wiley   +1 more source

Reward-related language processing of maternal speech in infants at different likelihood of ASD. [PDF]

Soc Cogn Affect Neurosci
Hoshino E, Hata M, Xu M, Minagawa Y.
europepmc   +1 more source

The Past, Present, and Future of Customer Knowledge Management: A Review and Research Agenda

Knowledge and Process Management, EarlyView.
ABSTRACT We develop and present a framework for research in customer knowledge management (CKM) that synthesizes insights from a comprehensive literature review spanning 2000 to 2024. This framework highlights the determinants, impacts, and moderators shaping CKM and its role in contemporary organizations.
Victoria Y. Ourzik
wiley   +1 more source

EEG imagined speech neuro-signal preprocessing and deep learning classification. [PDF]

Sci Rep
Elwasify F, Shaaban E, Abdelmoneem RM.
europepmc   +1 more source

BPM and Process Performance: A Bibliometric Synthesis, Cases, and Research Agenda Anchored in the SDGs

Knowledge and Process Management, EarlyView.
ABSTRACT This study reviews BPM literature, examining how research conceptualizes and reports the relationship between BPM, performance, and sustainability, key trends, gaps, and future directions, combining bibliometric analysis with previously published case studies to connect theory and practice for organizational optimization.
Julio Gumiero, José Eduardo Pires de Oliveira, Silvia Dallavalle   +2 more
wiley   +1 more source

Extending the Observational Medical Outcomes Partnership (OMOP) Common Data Model for Critical Care Medicine: A Framework for Standardizing Complex ICU Data Using the Society of Critical Care Medicine's Critical Care Data Dictionary (C2D2). [PDF]

Crit Care Med
Adams MCB, Hurley RW, Bartels K, Perkins ML, Hudson C, Topaloglu U, Cobb JP, Reuter-Rice K, Stocking JC, Khanna AK.   +9 more
europepmc   +1 more source

ChatGPT provides accurate and safe responses to patient questions on hip arthroscopy, while completeness remains variable: A systematic review and single‐arm meta‐analysis

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Large language models, such as ChatGPT, are increasingly used by patients seeking information on hip arthroscopy (HAS) and femoroacetabular impingement (FAI). Despite their linguistic fluency, the accuracy, completeness and safety of procedure‐specific patient information remain unclear.
Nikolai Ramadanov, Plamen Penchev, Maximilian Voss, Maximilian Heinz, Robert Prill, Mikhail Salzmann, Roland Becker, Timoty Osterberger, Ingo J. Banke   +8 more
wiley   +1 more source

Neurobiology of language in autism: a systematic review of pediatric studies. [PDF]

Brain Imaging Behav
Witt KM, Carnett A.
europepmc   +1 more source

Early Spectral Resolution Predicts Later Speech Recognition in Adult Cochlear Implant Recipients

The Laryngoscope, EarlyView.
In 531 ears from 498 adult cochlear implant recipients, spectral modulation detection (EasyQSMD) stabilized within 1 week post‐activation and significantly predicted later speech recognition outcomes. Early spectral resolution thresholds can identify potential poor performers during the critical first month, enabling earlier implementation of targeted ...
Katelyn A. Berg, Jillian B. Roberts, Michael Z. Burchesky, René H. Gifford   +3 more
wiley   +1 more source