Results 31 to 40 of about 22,526,023 (342)

Improving clinical named entity recognition in Chinese using the graphical and phonetic feature

open access: yesBMC Medical Informatics and Decision Making, 2019
Background Clinical Named Entity Recognition is to find the name of diseases, body parts and other related terms from the given text. Because Chinese language is quite different with English language, the machine cannot simply get the graphical and ...
Yifei Wang   +2 more
doaj   +1 more source

LSTMVoter: chemical named entity recognition using a conglomerate of sequence labeling tools

open access: yesJournal of Cheminformatics, 2019
Background Chemical and biomedical named entity recognition (NER) is an essential preprocessing task in natural language processing. The identification and extraction of named entities from scientific articles is also attracting increasing interest in ...
Wahed Hemati, Alexander Mehler
doaj   +1 more source

The MedSupport Multilevel Intervention to Enhance Support for Pediatric Medication Adherence: Development and Feasibility Testing

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard   +8 more
wiley   +1 more source

CRFVoter: gene and protein related object recognition using a conglomerate of CRF-based tools

open access: yesJournal of Cheminformatics, 2019
Background Gene and protein related objects are an important class of entities in biomedical research, whose identification and extraction from scientific articles is attracting increasing interest.
Wahed Hemati, Alexander Mehler
doaj   +1 more source

Universal Compressed Text Indexing [PDF]

open access: yes, 2018
The rise of repetitive datasets has lately generated a lot of interest in compressed self-indexes based on dictionary compression, a rich and heterogeneous family that exploits text repetitions in different ways. For each such compression scheme, several
Navarro, Gonzalo, Prezza, Nicola
core   +2 more sources

Changes in Body Composition in Children and Young People Undergoing Treatment for Acute Lymphoblastic Leukemia: A Systematic Review and Meta‐Analysis

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed   +5 more
wiley   +1 more source

Efficacy and safety of evogliptin versus sitagliptin as add on to metformin alone in a combined russian-korean population. Evo-combi trial

open access: yesСахарный диабет, 2018
Background: Dipeptidyl-peptidase-4 inhibitors (iDPP-4) are pathogenically targeted drugs for diabetes mellitus type 2 (T2DM). Evogliptin is a new member of iDPP-4 class.
Alina Y. Babenko   +4 more
doaj   +1 more source

A Systematic Review of Evidence on the Clinical Effectiveness of Surveillance Imaging in Children With Medulloblastoma and Ependymoma

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Surveillance imaging aims to detect tumour relapse before symptoms develop, but it's unclear whether earlier detection of relapse leads to better outcomes in children and young people (CYP) with medulloblastoma and ependymoma. This systematic review aims to identify relevant literature to determine the efficacy of surveillance magnetic ...
Lucy Shepherd   +3 more
wiley   +1 more source

Texts surrounding texts

open access: yesCalenda, 2021
The workshop will feature discussions on and around paratexts in South Asian manuscripts, as well as presentations on collections and collectors of manuscripts.
openaire   +1 more source

Text segmentation with character-level text embeddings [PDF]

open access: yes, 2013
Learning word representations has recently seen much success in computational linguistics. However, assuming sequences of word tokens as input to linguistic analysis is often unjustified.
Chrupała, Grzegorz
core   +2 more sources

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