Can the adherence to quality of care indicators for early rheumatoid arthritis in clinical practice reduce risk of hospitalisation? Retrospective cohort study based on the Record L... by Carlo Alberto Scirè, Antonella Zambon, Greta Carrara, Anna Zanetti, Lisa Argnani

“…Objective To describe the adherence to quality of care indicators in early rheumatoid arthritis (RA) and to evaluate its impact on the risk of hospitalisation in a real-world setting.Design Retrospective cohort study.Setting Patients with early-onset RA identified from healthcare regional administrative databases by means of a validated algorithm between 2006 and 2012 in the Lombardy region (Italy).Participants The study cohort included 14 203 early-onset RA (71% female, mean age 60 years).Outcome measures For each patient, a summary adherence score was calculated starting from the compliance to six quality indicators: (1–2) methotrexate or sulfasalazine or leflunomide with/without glucocorticoids, (3–4) other disease-modifying antirheumatic drugs (DMARDs) with/without glucocorticoids, (5) early interruption of glucocorticoids, (6) early clinical assessment.The relationship between low, intermediate and high categories of the summary score and the 12-month risk of hospitalisation for all causes and for RA was assessed.Results During a follow-up of 1 year, 2609 hospitalisations occurred, of which 704 were for RA (main or secondary diagnosis) and 252 primarily for RA. …”
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A similar feature point matching method for aerial electric power tower images based on a one-ring neighborhood of vertices by Chen Keyu, Guo Jufu, Wang Weijun, Lei Bo, Huang Hui, Luo Lijing

“…On this basis, taking into account the spatial relationships and geometric characteristics around the feature points, a texture mapping algorithm based on vertex ring neighborhood and patch classification is applied to construct a vertex ring neighborhood structure and extract geometrically representative electric power tower features. …”
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Development of clinical decision support for patients older than 65 years with fall-related TBI using artificial intelligence modeling. by Biche Osong, Eric Sribnick, Jonathan Groner, Rachel Stanley, Lauren Schulz, Bo Lu, Lawrence Cook, Henry Xiang

“…We employed a conditional inference tree algorithm with bootstrap (B = 100) and grid search options to grow the decision tree and measure discrimination ability using the area under the curve (AUC) and calibration plots.…”
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Enhancing Secure Medical Data Communication Through Integration of LSB and DCT for Robust Analysis in Image Steganography by Ramyashree, P. S. Venugopala, S. Raghavendra, Vijay S. Kubihal

“…Additionally, the method offers efficient insertion and extraction time during the watermark embedding and retrieval process, making it highly practical for real-time applications. An algorithm employs DCT technique for Audio integration within DICOM images are more robust and imperceptible. …”
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Investigating LiDAR Metrics for Old-Growth Beech- and Spruce-Dominated Forest Identification in Central Europe by Devara P. Adiningrat, Andrew Skidmore, Michael Schlund, Tiejun Wang, Haidi Abdullah, Marco Heurich

“…To determine the important LiDAR standard and structural metrics in identifying old-growth forests, multicollinearity analysis using the variance inflation factor (VIF) approach was applied to identify and remove metrics with high collinearity, followed by the random forest algorithm to rank which LiDAR standard and structural metrics are important in old-growth forest classification. …”
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Career Development Center Berbasis Social Media Menggunakan Algoritma Gale-Shapley dan Framework Codeigniter by Rifky Syaripudin, Oman Komarudin, Intan Purnamasari

“…The modeling design uses UML (Unified Modeling Language) which is implemented using the Gale-Shapley Algorithm and Codeigniter Framework with Netbeans 7.4 IDE tools. …”
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Measurement and Analysis of Gait Pattern during Stair Walk for Improvement of Robotic Locomotion Rehabilitation System by Sang-Eun Park, Ye-Ji Ho, Min Ho Chun, Jaesoon Choi, Youngjin Moon

“…The measured marker data were converted into joint kinematic data by using an algorithm that included resampling and normalization. …”
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Design of Upper Limb Active Rehabilitation System Based on Somatosensory Interaction Technology and Reliability and Validation Analysis by MAI Wangxiang, ZHENG Jiaxing, HE Weiyi, FANG Liang, SHANG Yaru, LI Wanyue, CHEN Zhuoming

“…Through motion detection and discrimination algorithm, the system realized the interaction between patients and virtual environment, as well as the evaluation of motor function and real-time feedback of joint range of motion information. …”
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Advanced artificial intelligence with federated learning framework for privacy-preserving cyberthreat detection in IoT-assisted sustainable smart cities by Mahmoud Ragab, Ehab Bahaudien Ashary, Bandar M. Alghamdi, Rania Aboalela, Naif Alsaadi, Louai A. Maghrabi, Khalid H. Allehaibi

“…Eventually, the walrus optimization algorithm (WOA) is used for hyperparameter tuning to improve the parameters of the SSAE approach and achieve optimal performance. …”
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Neonatal and perinatal mortality in the urban continuum: a geospatial analysis of the household survey, satellite imagery and travel time data in Tanzania by Lenka Benova, Claudia Hanson, Aliki Christou, Aline Semaan, Peter M Macharia, Jessie Pinchoff, Andrea B Pembe

“…Travel time to the nearest hospital was modelled using least-cost path algorithm for each cluster. Bivariate and multilevel multivariable logistic regression models were constructed to explore associations between urbanicity and neonatal/perinatal deaths.Results Both neonatal and perinatal mortality rates were highest in core urban and lowest in rural clusters. …”
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Assessment of Chinese urban land-use efficiency (SDG11.3.1) utilizing high-precision urban built-up area data by Hao Wang, Yafei Liu, Lianze Sun, Xiaogang Ning, Guangzhe Li

“…This study aims to enhance the accuracy of the SDG11.3.1 evaluation and explore the impact of varying precision levels in urban built-up area on the indicator’s assessment outcomes. We developed an algorithm to generate accurate urban built-up area data products based on China’s Geographical Condition Monitoring data with a 2 m resolution. …”
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Predicting local control of brain metastases after stereotactic radiotherapy with clinical, radiomics and deep learning features by Hemalatha Kanakarajan, Wouter De Baene, Patrick Hanssens, Margriet Sitskoorn

“…A Random Forest machine learning algorithm was employed to train four models using: (1) clinical features only; (2) clinical and radiomics features; (3) clinical and DL features; and (4) clinical, radiomics, and DL features. …”
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Beyond 0-1: The 1-N Principle and Fast Validation of N-Sorter Sorting Networks by Robert B. Kent, Marios S. Pattichis

“…In order to verify these N-sorters, the authors propose the 1-N principle, which states that testing an N-sorter with all distinct orderings of N input values is necessary and sufficient to prove the N-sorter’s correctness. An algorithm is defined which generates a vector set consisting of all distinct orderings of N inputs, which is then used to fully verify the associated single-stage N-sorter. …”
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Characteristics, Incidence, and Management of Immune Checkpoint Inhibitors Related Cardiovascular Adverse Events in Real-World Practice-A Retrospective Study in Chinese Han Populat... by Wang RH, Chen Y, Lou YL, Lu YL, Xu HM

“…CVAEs were identified through clinical assessment and the Naranjo algorithm. The management and outcomes of CVAEs were monitored over a median follow-up duration of 8 months.Results: Among the included 203 patients, 4.4% (9/203) developed CVAEs, including heart failure (n = 3), arrhythmia (n = 2), myocarditis (n = 2), and pericardial disease (n = 2), with a proportion (6/9) tending to be severe (grade 3 or grade 4). …”
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Random forest model that incorporates solar-induced chlorophyll fluorescence data can accurately track crop yield variations under drought conditions by Guangpo Geng, Qian Gu, Hongkui Zhou, Bao Zhang, Zuxin He, Ruolin Zheng

“…In this study, remote sensing data, climate data, and soil moisture data from the winter wheat growth period in northern China from 2003 to 2017 were used to construct a crop yield simulation model based on the Random Forest (RF) algorithm. The effect of drought on winter wheat yield was quantitatively evaluated by calculating the fitting accuracy of the RF model, analyzing the importance of the factors influencing yield simulations, identifying a typical drought event, and determining the yield estimation accuracy as well as the percent yield loss (PYL) under drought conditions. …”
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Unveiling the Effect of Age and IgE Level on Alopecia Areata: Insights from Comparative RNAseq Analysis by Liu H, Yang S, Xian H, Liu Y, Zhang Y, Chen Y, Xu Y, Liu J, Yang B, Luo Y

“…Moreover, pediatric AA patients with atopic predisposition often exhibit elevated IgE levels, early onset, and a poor prognosis.Purpose: This study aimed to investigate the impact of age and IgE levels on AA by conducting RNA sequencing on scalp samples from AA patients with atopic predisposition, age-matched healthy controls, and AA samples with varying IgE levels.Patients and Methods: We employed the single-sample Gene Set Enrichment Analysis (ssGSEA) algorithm in conjunction with gene expression analysis to assess immune infiltration. …”
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Assessing Nonlinear Dynamics and Trends in Precipitation by Ensemble Empirical Mode Decomposition (EEMD) and Fractal Approach in Benin Republic (West Africa) by Médard Noukpo Agbazo, Gabin Koto N’Gobi, Eric Alamou, Basile Kounouhewa, Abel Afouda

“…To overcome the detrending issue in the standard MFDFA method, the EEMD algorithm is embedded into the MFDFA. The study period is subdivided into three subperiods: 1951–1970, 1971–1990, and 1991–2010. …”
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Detection of Dengue Virus-Specific IgM and IgG Antibodies through Peptide Sequences of Envelope and NS1 Proteins for Serological Identification by Pradeep Kumar Nagar, Deepali Savargaonkar, Anupkumar R. Anvikar

“…Whole protein sequences of E and NS1 of DENV were obtained from UniProtKB database. On the basis of algorithm prediction from DNASTAR, BCEPRED, and IEDB data resources, twelve peptides of E (EP1 to EP12) and eight peptides of NS1 (NS1-1 to NS1-8) were selected, which were common in all serotypes. …”
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Utilizing bioinformatics and machine learning to identify CXCR4 gene-related therapeutic targets in diabetic foot ulcers by Hengyan Zhang, Ye Zhou, Heguo Yan, Changxing Huang, Licong Yang, Yangwen Liu

“…Feature selection methods such as LASSO, SVM-RFE and random forest algorithm were applied to localize possible therapeutic target genes. …”
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Validity of Wearable Inertial Sensors for Gait Analysis: A Systematic Review by Giuseppe Prisco, Maria Agnese Pirozzi, Antonella Santone, Fabrizio Esposito, Mario Cesarelli, Francesco Amato, Leandro Donisi

“…Wearable technologies, especially inertial measurement units (IMUs), enable portable and accessible assessments outside the lab, though challenges with sensor placement, signal selection, and algorithm design can affect accuracy. This systematic review aims to bridge the benchmarking gap between IMU-based and traditional systems, validating the use of wearable inertial systems for gait analysis. …”
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