Results 71 to 80 of about 1,803,229 (305)

Granular computing applied to ontologies

International Journal of Approximate Reasoning, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
CIUCCI, DAVIDE ELIO, CALEGARI, SILVIA
openaire   +2 more sources

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella, Veria Vacchiano, Vittorio Velucci, Stefano Zoccolella, Rocco Liguori, Giovanni Defazio   +5 more
wiley   +1 more source

Granular Computing Based Ontology Learning Model and Its Applications

Cybernetics and Information Technologies, 2015
The cores of granular computing are the granule, the granule layer and the granule structure. In this paper the concepts “Ontology granule” and “Compatible granule” were defined, applying the granular computing ideas and an ontology model, an Ontology ...
Yan Hongcan, Zhang Feng, Liu Baoxiang
doaj   +1 more source

Granular Computing: An Emerging Paradigm

, 2001
We provide an overview of Granular Computing- a rapidly growing area of information processing aimed at the construction of intelligent systems. We highlight the main features of Granular Computing, elaborate on the underlying formalisms of information ...
Witold Pedrycz
core  

Boundary‐Dependent Sleep–Wake Dysregulation in Idiopathic Hypersomnia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Idiopathic hypersomnia (IH) presents with excessive daytime sleepiness (EDS) despite apparently preserved nocturnal sleep, challenging traditional models of hypersomnolence based on sleep loss or fragmentation. We aimed to test the hypothesis that EDS in IH reflects excessive stabilization of the sleep state, consistent with ...
Samantha Mombelli, Karine Lacourse, Hélène Blais, Anne‐Sophie Deshaies‐Rugama, Cynthia Thompson, Alex Desautels, Jacques Montplaisir, Milan Nigam, Christophe Moderie, Boshra Khajehpiri, Catherine Duclos, Jean Marc Lina, Julie Carrier, Nadia Gosselin   +13 more
wiley   +1 more source

Diffuse MRI Edema Predicts Relapse in Cerebral Amyloid Angiopathy–Related Inflammation

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To identify MRI predictors of relapse and quantify relapse and mortality risk in cerebral amyloid angiopathy–related inflammation (CAA‐RI). A secondary objective was to assess the association between mycophenolate mofetil use and relapse risk. Methods We performed a retrospective cohort study of 36 patients with CAA‐RI treated at the
G. Abbas Kharal, Gowtham Yerneni, Kim J. Griffin, Nicolas Thompson, Ken Uchino, Irene Katzan, Dolora Wisco, Abeer Farrag, Jayashree Sundarajan, Andrew Russman, M. Shazam Hussain   +10 more
wiley   +1 more source

Advancing machine learning for identifying cardiovascular disease via granular computing [PDF]

Machine learning in cardiovascular disease (CVD) has broad applications in healthcare, automatically identifying hidden patterns in vast data without human intervention.
Ku Khalif, Ku Muhammad Naim, Muhammad, Noryanti, Mohd Aziz, Mohd Khairul Bazli, Setiawan, Muhammad Nanda, Irawan, Mohammad Isa, Iqbal, Mohammad   +5 more
core   +3 more sources

Random Fuzzy Clustering Granular Hyperplane Classifier

IEEE Access, 2020
Granular computing is a method of studying human intelligent information processing, which has advantage of knowledge discovery. In this paper, we convert a classification problem of sample space into a classification problem of fuzzy clustering granular
Wei Li, Kaiqiang Zhang, Yumin Chen, Chao Tang, Xiaoyu Ma, Youmeng Luo   +5 more
doaj   +1 more source

Contact forces distribution for a granular material from a Monte Carlo study on a single grain

, 2017
11 páginasThe force network ensemble is one of the most promising statistical descriptions of granular media, with an entropy accounting for all force configurations at mechanical equilibrium consistent with some external stress.
Manuel A. Cárdenas-Barrantes, Jose Daniel Muñoz, Muñoz, Jose Daniel, Cárdenas Barrantes, Manuel A., William F. Oquendo, Oquendo, William F.   +5 more
core   +1 more source

Clinical Impact of MGMT Promoter Methylation in IDH‐Mutant Gliomas: Influence of Threshold Selection and Clinical Confounding

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background The clinical relevance of MGMT promoter methylation in IDH‐mutant gliomas remains controversial in the era of molecular classification. We aimed to systematically evaluate its clinical relevance by integrating quantitative assessment, cutoff exploration, and adjustment for clinical confounding.
Haihui Jiang, Linxi Cao, Xiaodong Chen, Siqi Tong, Qinghui Zhu, Jun Yang, Song Lin, Yong Cui   +7 more
wiley   +1 more source