Results 141 to 150 of about 559,125 (302)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi +2 more
wiley +1 more source
A HYBRID DATA CLUSTERING ALGORITHM USING MODIFIED KRILL HERD ALGORITHM AND K-MEANS [PDF]
Journal of Advances in Computer Engineering and Technology, 2019 Data clustering is the process of partitioning a set of data objects into meaning clusters or groups. Due to the vast usage of clustering algorithms in many fields, a lot of research is still going on to find the best and efficient clustering algorithm ...
Jensi R
doaj
Public concerns and attitudes towards autism on Chinese social media based on K-means algorithm. [PDF]
Sci Rep, 2023 Zhou Q, Lei Y, Du H, Tao Y.
europepmc +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background SOX1 antibody‐positive paraneoplastic neurological syndromes (PNS) exhibit significant population‐specific clinical heterogeneity. While Western cohorts predominantly manifest Lambert‐Eaton myasthenic syndrome (65%–80%), comprehensive clinical characterization and treatment response data in Asian populations remain critically ...
Jin‐Long Ye +11 more
wiley +1 more source
K-Means Algorithm Based on Particle Swarm Optimization
, 2014 Clustering analysis aims at discovering groups and identifying interesting distributions and patterns in data sets. It can help the user to distinguish the structure of data and simplify the complexity of data from mass information.
Chen, Ching-Yi; Ye, Fun
core
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source
Application of Statistical K-Means Algorithm for University Academic Evaluation. [PDF]
Entropy (Basel), 2022 Yu D, Zhou X, Pan Y, Niu Z, Sun H.
europepmc +1 more source
Hybridization of particle swarm optimization with the K-Means algorithm for clustering analysis
, 2010 Clustering is an unsupervised classification technique which deals with pattern recognition problems. While traditional analytical methods suffer from slow convergence and the challenges of high-dimensional. Recent years, particle swarm optimization (PSO)
Jin L(金莉) +3 more
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang +10 more
wiley +1 more source