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Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia.

NeuroImage
Functional connectivity (FC) patterns obtained from resting-state functional magnetic resonance imaging data are commonly employed to study neuropsychiatric conditions by using pattern classifiers such as the support vector machine (SVM). Meanwhile, ...

Seasonal variation in onset and relapse of IBD and a model to predict the frequency of onset, relapse, and severity of IBD based on artificial neural network.

International journal of colorectal disease
BACKGROUND: Previous research has yielded conflicting data as to whether the natural history of inflammatory bowel disease follows a seasonal pattern. The purpose of this study was (1) to determine whether the frequency of onset and relapse of inflam...

Robotic-Assisted Ureteral Re-implantation: A Case Series.

Journal of laparoendoscopic & advanced surgical techniques. Part A
INTRODUCTION: Minimally invasive surgical techniques are currently used for numerous urologic disorders and generally offer decreased morbidity and equivalent outcomes compared with open surgery. There is a relative paucity of data on robot-assisted ...

Estimating Energy Expenditure With Multiple Models Using Different Wearable Sensors.

IEEE journal of biomedical and health informatics
This paper presents an approach to designing a method for the estimation of human energy expenditure (EE). The approach first evaluates different sensors and their combinations. After that, multiple regression models are trained utilizing data from d...

Feature Selection Based on the SVM Weight Vector for Classification of Dementia.

IEEE journal of biomedical and health informatics
Computer-aided diagnosis of dementia using a support vector machine (SVM) can be improved with feature selection. The relevance of individual features can be quantified from the SVM weights as a significance map (p-map). Although these p-maps previou...

Continence outcomes of robot-assisted radical prostatectomy in patients with adverse urinary continence risk factors.

BJU international
OBJECTIVE: To analyse the continence outcomes of robot-assisted radical prostatectomy (RARP) in suboptimal patients that have challenging continence recovery factors such as enlarged prostates, elderly patients, higher body mass index (BMI), salvage ...

Morbidity Rate Prediction of Dengue Hemorrhagic Fever (DHF) Using the Support Vector Machine and the Aedes aegypti Infection Rate in Similar Climates and Geographical Areas.

PloS one
BACKGROUND: In the past few decades, several researchers have proposed highly accurate prediction models that have typically relied on climate parameters. However, climate factors can be unreliable and can lower the effectiveness of prediction when t...