Results 221 to 230 of about 2,584,993 (291)

Named entity recognition for Chinese electronic medical records by integrating knowledge graph and ClinicalBERT. [PDF]

Front Artif Intell
Xu X, Li Z, Zhang H, Ma K.
europepmc   +1 more source

Working with laws, regularities and singularities in biology: The evolution of mammalian red blood cell size as a case study

The Anatomical Record, EarlyView.
Abstract Phylogenetic comparative methods have been used in recent literature to work with laws and test for regularities (evolutionary associations of quantitative features) and evolutionary singularities (features that evolved in a single taxon). We analyzed these uses epistemologically, taking the evolution of red‐blood‐cell mean corpuscular volume (
Jorge Cubo, Paul Aubier, Cassandra Cheyron, Isabelle Drouet   +3 more
wiley   +1 more source

Bio-Inspired Multi-Granularity Model for Rice Pests and Diseases Named Entity Recognition in Chinese. [PDF]

Biomimetics (Basel)
Tang Z, Lu X, Liu E, Zhong Y, Peng X.
europepmc   +1 more source

Craniofacial growth, modeling, and estimation of milestones

The Anatomical Record, EarlyView.
Abstract Understanding craniofacial growth is foundational for research into intra‐ and interspecies variation, evolution, and clinical care. The Craniofacial Growth Consortium Study (CGCS), combines cephalographs from historical growth studies to create a dense longitudinal record of growth from 6 to 22 years of age.
Richard J. Sherwood, Dana L. Duren, Christina L. Holzhauser, Hee Soo Oh, Manish Valiathan, Kieran P. McNulty, Kevin M. Middleton   +6 more
wiley   +1 more source

Exploring prompts to elicit memorization in masked language model-based named entity recognition. [PDF]

PLoS One
Xia Y, Sedova A, Luz de Araujo PH, Kougia V, Nußbaumer L, Roth B.   +5 more
europepmc   +1 more source

Inferring Rheumatoid Arthritis Disease Activity Status From the Electronic Health Records Across Health Systems

Arthritis &Rheumatology, EarlyView.
Objective Disease activity plays a central role in rheumatoid arthritis (RA) clinical studies. The inconsistent availability of data on disease activity in real‐world electronic health records (EHRs) data has limited the ability to generate real‐world evidence (RWE).
David Cheng, Xuan Wang, Gregory C. McDermott, Jennifer S. Hanberg, Zoe Love, Katherine Zhong, Mary Jeffway, Jue Hou, Vidul Panickan, Rahul Sangar, Ying Qi, Connor Melley, Lauren Costa, Dakota Feil, Rachael Matty, Dana Weisenfeld, Abisayo Animashaun, Aimee Schreiner, Sara Morini, Lauren Rusnak, Andrew Cagan, Misti Paudel, J. Michael Gaziano, Brian Sauer, Michael Weinblatt, Joshua Baker, Bryant England, Yuk‐Lam Ho, Kelly Cho, Paul Monach, Grant W. Cannon, Nancy Shadick, Ted R. Mikuls, Tianxi Cai, Katherine P. Liao   +34 more
wiley   +1 more source

Transformer-based prototype network for Chinese nested named entity recognition. [PDF]

Sci Rep
Zhang K, Lu J, Ai Z, Wang L, Liu Z, Gu P, Liu X.   +6 more
europepmc   +1 more source

The gift remembered: The Human Anatomy and Physiology Society (HAPS) Anatomical Donor Stewardship's ethical and practical handbook for anatomy donor tributes

Anatomical Sciences Education, EarlyView.
Abstract Providing students with a way to honor human body donors during or after an anatomy course has been shown to help provide a sense of closure and comfort to students and, when present, donor families. Gestures of gratitude for donors can also emphasize humanistic values of respect, empathy, and professionalism.
Bobbie J. Leeper, Rhiannon E. Robinson, Kelsey Stevens, Lacy M. Cleveland, Danielle N. Edwards, Nicole L. Geske, Burhan Gharaibeh, Anya Goldina, Jill Kirby, Jacqueline Phillips, Leslie R. Sewell, J. P. Swigart, Trisha Waldman, Jonathan J. Wisco, Jeremy J. Grachan   +14 more
wiley   +1 more source

Ontology-Based Medication Named Entity Recognition Using Pretrained Transformer Models From a Thai Hospital: Model Fine-Tuning and Validation Study. [PDF]

JMIR Form Res
Isaradech N, Sirikul W, Schulz S, Kreuzthaler M.   +3 more
europepmc   +1 more source

Designing and evaluating a neuroanatomy learning experience using multiple external representations

Anatomical Sciences Education, EarlyView.
Abstract Neuroanatomy is challenging, requiring multiple external representations (MER) for comprehension. While studies have examined individual representations of neuroanatomy, a gap remains in understanding how students link across MER, especially between technology‐generated representations with everyday experiences.
Valeria Vendries, Ji Shen
wiley   +1 more source