Results 111 to 120 of about 18,151,738 (262)
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 +5 more
wiley +1 more source
Association Between Neurofilament Light Chain and Real‐World Ambulatory Function in Progressive MS
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Neurofilament light chain (NfL) is a biomarker of neuroaxonal injury in multiple sclerosis (MS), yet associations with functional outcomes remain unclear. Longitudinal associations between serum NfL (sNfL) and daily step count (STEPS) from wearable devices were assessed in a large international progressive MS cohort.
Gabby B. Joseph +5 more
wiley +1 more source
Clustering Time Series of Different Length Using Self-Organising Maps
The current work is devoted to the problem of time series analysis. One of the relevant tasks connected with time series is splitting the set of objects into individual groups – clusters for further forecasting the behaviour of time series.
Paršutins, Sergejs
core
Is it Social Influence on Beliefs Under Ambiguity? A Possible Explanation for Volatility Clustering [PDF]
Influencing and being influenced by others is the very essence of human behaviour. We put forward an exploratory asset-pricing model allowing for social influence on investor judgments under ambiguity.
Hammad A. Siddiqi
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To identify inflammatory analytes in cerebrospinal fluid (CSF) and plasma associated with cognitive decline in cognitively normal (CN) older adults at risk for Alzheimer's disease (AD). Methods In a longitudinal study of 118 CN older adults (65–80 years, 54% APOE ε4, 26% preclinical AD), 1331 CSF and 1501 plasma analytes were ...
Jagan A. Pillai +13 more
wiley +1 more source
Temporal Multi-Features Representation Learning-Based Clustering for Time-Series Data
IEEE AccessTime-series clustering remains a challenge in data mining. Although novel deep-learning-based representation learning integrated with deep clustering methods have considerably enhanced the performance of time-series clustering, efficiently capturing the ...
Jaehoon Lee, Dohee Kim, Sunghyun Sim
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective JAK inhibitors (JAKi) have shown promising effects in early‐phase studies of systemic sclerosis (SSc). We aimed to assess the safety and explore the effectiveness of JAKi compared to conventional immunosuppressants in SSc. Methods A longitudinal retrospective study of the European Scleroderma Trials and Research Group (EUSTAR) cohort was ...
Stefano Di Donato +27 more
wiley +1 more source
BELMM: Bayesian model selection and random walk smoothing in time-series clustering. [PDF]
Bioinformatics, 2023 Sarala O, Pyhäjärvi T, Sillanpää MJ.
europepmc +1 more source
Discriminant analysis of multivariate time series using wavelets [PDF]
In analyzing ECG data, the main aim is to differentiate between the signal patterns of those of healthy subjects and those of individuals with specific heart conditions.
M. Andrés Alonso, Ann Elizabeth Maharaj
core
Arthritis Care &Research, EarlyView.Objective Our objective was to describe the social networks of Black individuals with rheumatic and musculoskeletal conditions and understand the clustering of health‐related behaviors to inform future community‐based, peer‐led interventions. Methods We used an adapted Personal Network Survey for Clinical Research (PERSNET) to map the personal social ...
Taussia Boadi +27 more
wiley +1 more source