RSTHFS: A Rough Set Theory-Based Hybrid Feature Selection Method for Phishing Website Classification by Jahanggir Hossain Setu, Nabarun Halder, Ashraful Islam, M. Ashraful Amin

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Detecting anomalies in graph networks on digital markets. by Agata Skorupka

“…It compares different graph algorithms to extract feature sets for anomaly detection models. It states that methods based on nodes' statistics result in better model performance than state-of-the-art graph embeddings. …”
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Multimodal dataset for sensor fusion in fall detection by Carla Taramasco, Miguel Pineiro, Pablo Ormeño-Arriagada, Diego Robles, David Araya

“…The success of developing effective detection algorithms is dependent on the availability of comprehensive datasets that integrate data from multiple synchronized sensors. …”
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Customer Attrition Detection Using the LGBM Model by Huang Jie

“…To select the most suitable model for accurately detecting customer churn, this study performs preprocessing, including data cleaning, feature engineering, and feature selection. …”
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K-Complex Detection Based on Synchrosqueezing Transform by Z. Ghanbari, M. H. Moradi

“…As the visual labels wereextremely different, the automatic detection is considered as the third expert’s scoring and data is re-labeledby a voting approach among three experts. …”
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Transformers for rapid detection of airway stenosis and stridor by James Anibal, Rebecca Doctor, Micah Boyer, Karlee Newberry, Iris De Santiago, Shaheen Awan, Yassmeen Abdel-Aty, Gregory Dion, Veronica Daoud, Hannah Huth, Stephanie Watts, Bradford J. Wood, David Clifton, Alexander Gelbard, Maria Powell, Jamie Toghranegar, the Bridge2AI Voice Consortium, Yael Bensoussan

“…Customized transformer-based models were also trained to perform stenosis and stridor detection tasks using low-cost data from multiple acoustic prompts recorded on common devices. …”
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Enhancing Medical X-Ray Image Classification with Neutrosophic Set Theory and Advanced Deep Learning Models by Walid Abdullah

“…To evaluate the approach, five state-of-the-art deep learning models—MobileNet, ResNet50, VGG16, DenseNet121, and InceptionV3 are utilized, and their performance was evaluated on two different medical image datasets: Cervical spine injuries detection and chest disease classification. The results indicate that models trained on NS-transformed data, particularly DenseNet and MobileNet, yield superior outcomes compared to those trained on the original data, achieving significantly higher accuracy, precision, and recall. …”
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Surgical Indications for Proximal Limb Amputations in a Resource-limited Setting: A Single Institution’s Experience by Ja’Neil Grace-Marie Humphrey, Joseph Nthumba, Puja Jagasia, Peter M. Nthumba

“…Therefore, PLA-associated risks in this cohort highlight the importance of early oncologic detection, infectious disease control, and chronic disease management in low-resource settings, where robust surgical outcome data are often unavailable.…”
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LorDist: a novel method for calculating the distance based on functional data analysis with application to longitudinal microbial data by Xinhe Qi, Menghan Zhang, Tongqing Wei, Jinran Lin, Xingming Zhao, Yin Yao, Yueqing Hu, Yan Zheng

“…Our findings demonstrate LorDist’s robust performance on real-world data sets involving inflammatory bowel disease and infant gut development. …”
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Human Papilloma Virus (HPV) Oral Prevalence in Scotland (HOPSCOTCH): A Feasibility Study in Dental Settings. by David I Conway, Chris Robertson, Heather Gray, Linda Young, Lisa M McDaid, Andrew J Winter, Christine Campbell, Jiafeng Pan, Kimberley Kavanagh, Sharon Kean, Ramya Bhatia, Heather Cubie, Jan E Clarkson, Jeremy Bagg, Kevin G Pollock, Kate Cuschieri

“…There were relatively few missing responses in the questionnaire and high levels of disclosure of risk behaviours (99% answered some of the sexual history questions). Data linkage of participant data to routine health records including HPV vaccination data was successful with 99.1% matching. …”
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A proposed algorithm for early autism screening in Polish primary care settings – a pilot study by Patryk Domarecki, Katarzyna Plata-Nazar, Wojciech Nazar

“…Chosen variables were compared using the U-Mann Whitney (nonparametric data) or Student’s t-test (parametric data). The Spearman’s rank correlation coefficient was calculated to analyze the strength of association between selected continuous variables. …”
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SET: : NUP214 fusion gene-positive acute leukemia in three patients: a literature review by SHI Zeyan, WEI Qiong, WEI Yulan, ZHANG Yitong, SU Yanyun, LIU Zhenfang, ZHAO Weihua

“…Methods A retrospective analysis was conducted on the clinical data of three patients with SET: : NUP214 fusion gene-positive acute leukemia admitted to the First Affiliated Hospital of Guangxi Medical University from July 2018 to November 2019, and a review was carried out in combination with relevant literature. …”
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Automated analysis of vessel morphometry in retinal images from a Danish high street optician setting. by Josefine Freiberg, Roshan A Welikala, Jens Rovelt, Christopher G Owen, Alicja R Rudnicka, Miriam Kolko, Sarah A Barman, FOREVER consortium

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Gaps in the screening process for women diagnosed with cervical cancer in four diverse US health care settings by Chun R. Chao, Jessica Chubak, Elisabeth F. Beaber, Aruna Kamineni, Connie Mao, Michael J. Silverberg, Jasmin A. Tiro, Celette Skinner, Michael Garcia, Douglas A. Corley, Rachel L. Winer, Tina Raine‐Bennett, Sarah Feldman, Cosette M. Wheeler

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Comparative Study of AI Modes in Ultrasound Diagnosis of Breast Lesions by Yu-Ting Hong, Zi-Han Yu, Chen-Pin Chou

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Data Validation Algorithm for Wireless Sensor Networks by Jaichandran Ravichandran, Anthony Irudhayaraj Arulappan

“…Finally we propose a novel data validation algorithm that uses novel approach in applying heuristic rule, temporal correlation, and modified z -score to data set for detecting different types of data faults. …”
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Gold Punning: studying multistable meaning structures using a systematically collected set of lexical blends by Daniel Kjellander

“…Another challenge is how to ensure that the collected data is representative of all lexical blends within a selected set of limitations. …”
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EXAMINING RISK FACTORS OF ANEMIA IN PREGNANCY USING HYBRID LOGISTIC REGRESSION MODEL AND ROUGH SET THEORY by Izzati Rahmi, Riswan Efendi, Nor Azah Samat, Hazmira Yozza, Mahdhivan Syafwan

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Association between various dosage forms of semaglutide and ocular adverse events in a real-world setting by Tao Zhao, Liting Zheng, Yiyun Feng, Min Lao, Yongmei Huang, Guosong Wu

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Broken Stick Model for Irregular Longitudinal Data by Stef van Buuren

“…The first step converts irregularly observed data into a set of repeated measures through the broken stick model. …”
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