A deep learning model incorporating part of speech and self-matching attention for named entity recognition of Chinese electronic medical records. [PDF]
Cai X, Dong S, Hu J.
europepmc +1 more source
A 73‐Year‐Old Man With Several Years of Difficulty Climbing Stairs and Frequent Tripping
ABSTRACT A 73‐year‐old man presented with progressive weakness and atrophy predominantly affecting the distal finger flexors and quadriceps muscles. Electrophysiological studies demonstrated mixed myogenic and neurogenic features. Muscle MRI showed inflammatory changes, and muscle biopsy revealed granulomatous myositis with histologic features ...
Mehmet Can Sari +3 more
wiley +1 more source
UzbekPOS: A multi-domain dataset for Uzbek part-of-speech tagging. [PDF]
Sharipov M, Kuriyozov E, Vičič J.
europepmc +1 more source
GreekLex 2: A comprehensive lexical database with part-of-speech, syllabic, phonological, and stress information. [PDF]
Kyparissiadis A +3 more
europepmc +1 more source
Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende +26 more
wiley +1 more source
LFF-POS: A linguistic fusion method to handle out-of-vocabulary words in low-resource part-of-speech tagging. [PDF]
Alfian M +4 more
europepmc +1 more source
ABSTRACT Purpose Air pollution has been linked to several neurological conditions, including stroke and neurodegenerative diseases. Evidence regarding its association with multiple sclerosis (MS) remains conflicting, limited by small sample sizes. Methods PubMed, Embase, Scopus, and Cochrane controlled register of trials (CENTRAL) were searched on ...
Ahmad A. Toubasi, Thuraya N. Al‐Sayegh
wiley +1 more source
AI in Neurology: Everything, Everywhere, all at Once PART 2: Speech, Sentience, Scruples, and Service. [PDF]
Rizzo M.
europepmc +1 more source
Improved part-of-speech prediction in suffix analysis. [PDF]
Fruzangohar M, Kroeger TA, Adelson DL.
europepmc +1 more source

