Results 71 to 80 of about 6,808 (273)

Toward abstractive text summarization

, 2019
Automatic text summarization is the process of automatically creating a compressed version of a given text. Content reduction can be addressed by extraction or abstraction. Extractive methods select a subset of most salient parts of the source text for inclusion in the summary.
openaire   +2 more sources

Abstractive Text Summarization Using GAN

International Journal of Innovative Science and Research Technology (IJISRT)
In the field of natural language processing, the task of writing long concepts into short expressions has attracted attention due to its ability to simplify the processing and understanding of information. While traditional transcription techniques are effective to some extent, they often fail to capture the essence and nuances of the original texts ...
Tanushree Bharti, Satyam Kumar Sinha, Harshit Singhal, Rohit Saini, Dipesh Parihar   +4 more
openaire   +1 more source

ALS With and Without Upper Motor Neuron Signs: A Comparative Study Supporting the Gold Coast Criteria

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The Gold Coast criteria permit diagnosis of amyotrophic lateral sclerosis (ALS) even without upper motor neuron (UMN) signs. However, whether ALS patients with UMN signs (ALSwUMN) and those without (ALSwoUMN) share similar characteristics and prognoses remains unclear.
Hee‐Jae Jung, E‐nae Cheong, Jungmin So, Heung‐Won Kang, Yangsean Choi, Eun‐Jae Lee, Hyunjin Kim, Young‐Min Lim   +7 more
wiley   +1 more source

Clinically Relevant Outcome Measures in Women With Adrenoleukodystrophy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Adrenoleukodystrophy is a rare inherited peroxisomal disease caused by pathogenic variants in the ABCD1 gene located on the X chromosome. Although the most severe central nervous system and adrenal complications typically affect only men with adrenoleukodystrophy, the majority of women develop myeloneuropathy symptoms in adulthood.
Chenwei Yan, Elizabeth I. Pierpont, Amena S. Fine, Reena V. Kartha   +3 more
wiley   +1 more source

Bi-STAB: Enhanced abstractive text summarization model using hybridized deep learning network

Acta Scientiarum: Technology
ive text summarization is based on Sequence-to-Sequence architecture which is developed to capture syntactic and contextual information between words.
Vanathi Dhinakaran, Abdullah Baihan, Ahmed Alhussen, Radhakrishnan Paramasivan   +3 more
doaj   +1 more source

Meningovascular Inflammation in Cerebral Amyloid Angiopathy‐Related Cortical Superficial Siderosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The role of inflammation in cortical superficial siderosis (cSS), a marker of cerebral amyloid angiopathy (CAA) linked to high hemorrhage risk, is unclear. We examined 15 patients with cSS using 3 T post‐contrast vessel wall MRI (VWI) and CSF analysis.
Philipp Arndt, Eya Khadhraoui, Sebastian J. Müller, Katja Neumann, Hendrik Mattern, Sven G. Meuth, Valentina Perosa, Andreas Charidimou, Stefanie Schreiber   +8 more
wiley   +1 more source

Feasibility and Tolerability of Performing Portable MRI for Neurological Disorders in an Outpatient Neurology Clinic: A Prospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Accessing brain magnetic resonance imaging (MRI) can be challenging, especially for underserved patients, which may lead to disparities in neurological diagnosis. Method This mixed‐methods study enrolled adults with one of four neurological disorders: mild cognitive impairment or dementia of the Alzheimer type, multiple sclerosis ...
Maya L. Mastick, Nomin Enkhtsetseg, Joseph Sadok, Matheus Mochetti, Annabel Sorby Adams, Jennifer Guo, Cristina Trapaga Hacker, Isabella Gomez Hjerthen, Seungwon Lee, Siddharth Satish, Andrew S. Ham, Justin Hill, Denis Balaban, Kevin Kyle, Rebecca L. Gillani, Marcelo Matiello, Aleksandar Videnovic, Eric C. Klawiter, W. Taylor Kimberly, Farrah J. Mateen   +19 more
wiley   +1 more source

Review of ambiguity problem in text summarization using hybrid ACA and SLR

Intelligent Systems with Applications
Text summarization is the process of creating a text summary that contains important information from a text document. In recent years, significant progress has been made in the field of text summarization research, along with the challenges that drive ...
Sutriawan Sutriawan, Supriadi Rustad, Guruh Fajar Shidik, Pujiono Pujiono, Muljono Muljono   +4 more
doaj   +1 more source

A Scoping Review on Artificial Intelligence–Supported Interventions for Nonpharmacologic Management of Chronic Rheumatic Diseases

Arthritis Care &Research, EarlyView.
This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah, Alexis Castellanos, Yen Chen, John Piette, Amy Bucher, Susan Murphy   +5 more
wiley   +1 more source

Economic Burden of Rheumatoid Arthritis in Low‐ and Middle‐Income Countries: Systematic Review and Meta‐Analysis

Arthritis Care &Research, EarlyView.
Objective The aim of this systematic review was to synthesize the economic impact of rheumatoid arthritis (RA) on households, health systems, and society in low‐ and middle‐income countries (LMICs). Methods Electronic databases such as PubMed, Web of Science, and CINAHL were searched using keywords related to RA and cost of illness.
Tadesse Gebrye, Chidozie E. Mbada, Clara T. Fatoye, Faatihah Niyi‐Odumosu, Ushotanefe Useh, Zalmai Hakimi, Francis Fatoye   +6 more
wiley   +1 more source