Changes in Immune‐Inflammation Status and Prognosis in Pregnancy‐Related Cerebral Venous Thrombosis
ABSTRACT Objective Distinguishing pathological changes from physiological adaptations in pregnancy‐related cerebral venous thrombosis (CVT) is clinically challenging. This study aimed to characterize coagulation, immune‐inflammation, and dehydration status in these patients and assess their prognostic value.
Xiaoming Zhang +7 more
wiley +1 more source
Subspace Information Criterion For Image Restoration
Most of the image restoration filters proposed so far include parameters that control the restoration properties. For bringing out the optimal restoration performance, these parameters should be determined so that a certain error measure such as the mean
Mean Squared Error +3 more
core
The plot of error mean squared in training the ANN.
This plot shows the process of training the ANN involves tuning the values of the weights and biases of the network to optimize network performance. The mean squared error is the default performance function for feed-forward – the average squared error ...
Shi-Zhu Li (392748) +10 more
core +1 more source
Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis
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
Computing the Distributions of Economic Models Via Simulation [PDF]
This paper studies the convergence properties of a Monte Carlo algorithm for computing distributions of state variables when the underlying model is a Markov chain with absolutely continuous transition probabilities.
John Stachurski
core
Bootstrapping the Mean Integrated Squared Error
A smooth bootstrap method is used to find an estimator of the mean integrated squared error in density estimation. This provides a natural bootstrap selector for the bandwidth.
Cao, R.
core +1 more source
Temporal Divergence of True and False Alarms in Pediatric Nocturnal Seizure Monitoring
The early‐morning surge in false seizure alarms supports exploring time‐ or state‐dependent detection thresholds to reduce false detections. ABSTRACT Seizure detection devices can improve the safety of children with epilepsy, yet high false alarms limit their clinical applicability.
Mohammad Shahbakhti +6 more
wiley +1 more source
Optimasi solar tracking system pada PLTS di lahan pertanian menggunakan polynomial regression
Berbagai pendekatan baik pendekatan algoritma maupun pendekatan mekanik, telah dilakukan untuk optimasi Solar Tracking System. Pada penelitian ini, tema optimasi dikembangkan menggunakan pendekatan machine learning.
Ni'ma Kholila +3 more
doaj +1 more source
Normal Reference Bandwidths for the General Order, Multivariate Kernel Density Derivative Estimator [PDF]
This note derives the general form of the approximate mean integrated squared error for the q-variate, th-order kernel density r th derivative estimator. This formula allows for normal reference rule-of-thumb bandwidths to be derived.
Christopher F. Parmeter +1 more
core
Subjective Cognitive Concerns and Cognitive Trajectories in Parkinson's Disease: Biomarker Impact
ABSTRACT Objective To examine the relationship of subjective cognitive concerns (SCC) with biomarkers of Alzheimer's disease (AD), neurodegeneration, and Parkinson's disease (PD) and domain‐specific cognitive trajectories among cognitively unimpaired persons with de novo PD. Method Cognitively unimpaired participants with SCC (n = 294) and without SCC (
Francesca V. Lopez +5 more
wiley +1 more source

