Results 201 to 210 of about 1,911,756 (319)

Analysis and knowledge extraction of newborn resuscitation activities from annotation files. [PDF]

BMC Med Inform Decis Mak
Abukmeil M, Meinich-Bache Ø, Eftestøl T, Rettedal S, Myklebust H, Tysland TB, Ersdal H, Mduma E, Engan K.   +8 more
europepmc   +1 more source

Prognostic Implications of Sleep Architecture for Patients Admitted to the Intensive Care Unit With Status Epilepticus

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Status epilepticus (SE) is associated with significant mortality. Sleep architecture may reflect normal brain function. Impaired sleep architecture is associated with poorer outcomes in numerous conditions. Here we investigate the association of sleep architecture in continuous EEG (cEEG) with survival in SE.
Ran R. Liu, Marcus C. Ng, Gavin P. Winston, Sabrina Schaly, Garima Shukla, Lysa Boissé Lomax   +5 more
wiley   +1 more source

Multisource representation learning for pediatric knowledge extraction from electronic health records. [PDF]

NPJ Digit Med
Li M, Li X, Pan K, Geva A, Yang D, Sweet SM, Bonzel CL, Ayakulangara Panickan V, Xiong X, Mandl K, Cai T.   +10 more
europepmc   +1 more source

Machine Learning and Knowledge Extraction

, 2023
Andreas Holzinger, Peter Kieseberg, Federico Cabitza, Andrea Campagner, A Min Tjoa, Edgar Weippl   +5 more
openalex   +1 more source

Life‐Threatening Bradycardia in Anti‐NMDA‐Receptor Encephalitis and a Novel Use for Permanent Pacing

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Pediatric anti‐NMDA receptor encephalitis (pNMDARE) is an autoantibody‐mediated disorder that can cause severe autonomic dysfunction, including symptomatic bradycardia and asystole. Dysautonomia can last for years, making it very challenging to manage.
Sarah Tucker, Abhijit Das, Andres Jimenez, Areeba Basit, Yike Jiang, Emily A. Smitherman, Heather Van Mater, Taylor Howard, Alexander J. Sandweiss, Kristen S. Fisher   +9 more
wiley   +1 more source

Knowledge extraction models

Collection of digital methods and metrics for extracting relevant prosumer intelligence information from open communities (T3.1).
openaire   +1 more source

A photovoltaic cell defect detection model capable of topological knowledge extraction. [PDF]

Sci Rep
Qu Z, Li L, Zang J, Xu Q, Xu X, Dong Y, Fu K.   +6 more
europepmc   +1 more source

Bayesian Estimation Improves Prediction of Outcomes After Epilepsy Surgery

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We estimated the statistical power of studies predicting seizure freedom after epilepsy surgery. We extracted data from a Cochrane meta‐analysis. The median power across all studies was 14%. Studies with a median sample size or less (n ≤ 56) and a statistically significant result exaggerated the true effect size by a factor of 5.4, while the ...
Adam S. Dickey, Vineet Reddy, Ammar A. Rashied, Nigel P. Pedersen, Robert T. Krafty   +4 more
wiley   +1 more source

AI-Based Knowledge Extraction from the Bioprinting Literature for Identifying Technology Trends. [PDF]

3D Print Addit Manuf
Bonatti AF, Chiarello F, Vozzi G, De Maria C.   +3 more
europepmc   +1 more source

Developmental, Neuroanatomical and Cellular Expression of Genes Causing Dystonia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Dystonia is one of the most common movement disorders, with variants in multiple genes identified as causative. However, an understanding of which developmental stages, brain regions, and cell types are most relevant is crucial for developing relevant disease models and therapeutics.
Darren Cameron, Nicholas E. Clifton, Daniel Cabezas de la Fuente, Peter Holmans, Nicholas J. Bray, Kathryn J. Peall   +5 more
wiley   +1 more source