Ensemble learning algorithm based on multi-parameters for sleep staging Medical and Biological Engineering and Computing - Tập 57 - Trang 1693-1707 - 2019
Qiangqiang Wang, Dechun Zhao, Yi Wang, Xiaorong Hou
The aim of this study is to propose a high-accuracy and high-efficiency sleep staging algorithm using single-channel electroencephalograms (EEGs). The process consists four parts: signal preprocessing, feature extraction, feature selection, and classification algorithms. In the preconditioning of EEG, wavelet function and IIR filter are used for noise reduction. In feature selection, 15 feature algorithms in time domain, time-frequency domain, and nonlinearity are selected to obtain 30 feature parameters. Feature selection is very important for eliminating irrelevant and redundant features. Feature selection algorithms as Fisher score, Sequential Forward Selection (SFS), Sequential Floating Forward Selection (SFFS), and Fast Correlation-Based Filter Solution (FCBF) were used. The paper establishes a new ensemble learning algorithm based on stacking model. The basic layers are k-Nearest Neighbor (KNN), Random Forest (RF), Extremely Randomized Trees (ERT), Multi-layer Perceptron (MLP), and Extreme Gradient Boosting (XGBoost) and the second layer is a Logistic regression. Comparing classification of RF, Gradient Boosting Decision Tree (GBDT), and XGBoost, the accuracies and kappa coefficients are 96.67% and 0.96 using the proposed method. It is higher than other classification algorithms.The results show that the proposed method can accurately sleep staging using single-channel EEG and has a high ability to predict sleep staging.
Effect of periodontal treatment on the clinical parameters of patients with rheumatoid arthritis: study protocol of the randomized, controlled ESPERA trial Trials - Tập 14 - Trang 1-9 - 2013
Paul Monsarrat, Jean-Noël Vergnes, Alain Cantagrel, Nadège Algans, Sarah Cousty, Philippe Kémoun, Caroline Bertrand, Elise Arrivé, Christophe Bou, Cyril Sédarat, Thierry Schaeverbeke, Cathy Nabet, Michel Sixou
Rheumatoid arthritis (RA) is a chronic inflammatory disorder that leads to joint damage, deformity, and pain. It affects approximately 1% of adults in developed countries. Periodontitis is a chronic oral infection, caused by inflammatory reactions to gram-negative anaerobic bacteria, and affecting about 35 to 50% of adults. If left untreated, periodontitis can lead to tooth loss. A significant association has been shown to exist between periodontitis and RA in observational studies. Some intervention studies have suggested that periodontal treatment can reduce serum inflammatory biomarkers such as C-reactive protein, or erythrocyte sedimentation rate. We hypothesize that periodontitis could be an aggravating factor in patients with RA, and that its treatment would improve RA outcomes. The aim of this clinical trial is to assess the effect of periodontal treatment on the biological and clinical parameters of patients with RA. The ESPERA (Experimental Study of Periodontitis and Rheumatoid Arthritis) study is an open-label, randomized, controlled trial. Subjects with both RA and periodontitis will be recruited at two university hospitals in southwestern France. In total, 40 subjects will be randomized into two arms (intervention and control groups), and will be followed up for 3 months. Intervention will consist of full-mouth supra-gingival and sub-gingival non-surgical scaling and root planing, followed by systemic antibiotic therapy, local antiseptics, and oral hygiene instructions. After the 3-month follow-up period, the same intervention will be applied to the subjects randomized to the control group. The primary outcome will be change of in Disease Activity Score in 28 Joints (DAS28) at the end of the follow-up period. Secondary outcomes will be the percentages of subjects with 20%, 50%, and 70% improvement in disease according to the American College of Rheumatology criteria. Health-related quality of life assessments (the Health Assessment Questionnaire and the Geriatric Oral Health Assessment Index) will also be compared between the two groups. Evidence-based management of potential aggravating factors in subjects with active RA could be of clinical importance, yet there are few randomized controlled trials on the effect of periodontal treatment on the clinical parameters of RA. The ESPERA trial is designed to determine if non-surgical periodontal treatment could improve clinical outcomes in patients with active RA, and the quality of life of these patients. The ESPERA Trial was registered in Current Controlled Trials [
ISRCTN79186420
] on 2012/03/20. The trial started recruiting on 2012/03/06.
Blaascasus mengbeeld? Tijdschrift voor praktijkondersteuning - Tập 3 - Trang 77-78 - 2008
Bart Thoonen, Ivo Smeele
Mevrouw Pollekens is 61 jaar en rookt al 30 jaar 10 sigaretten per dag. Ze is afgelopen jaar regelmatig bij haar huisarts geweest met klachten van aanhoudend hoesten en slijm opgeven. De huisarts heeft haar verteld dat dit van het roken komt en dat zij daar dringend mee moet stoppen. Na het derde bezoek wil hij het graag inzichtelijk maken met een longfunctie omdat mevrouw Pollekens blijft roken en zij zelf vertelt dat haar klachten waarschijnlijk komen doordat haar astma, waar zij als kind last van heeft gehad, weer actief is geworden. De huisarts verwijst haar naar het spreekuur van de praktijkondersteuner om de longfunctie te laten blazen en om het een en ander met mevrouw te bespreken. De verdere anamnese luidt: als kind astma, hiervoor destijds bij de kinderarts geweest. Chronisch hoest- en slijmklachten en geen last van hyperreactiviteit.
