Cardiovascular risk factors in patients with calcium pyrophosphate crystal deposition disease by M. S. Eliseev, O. V. Zhelyabina, M. N. Chikina, A. M. Novikova

“…Coronary heart disease was detected in 28.8% of the 118 patients; hypertension was identified in 64%; diabetes mellitus (DM)  was found in almost 15%. …”
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Preliminary exploratory study on differential diagnosis between benign and malignant peripheral lung tumors: based on deep learning networks by Yuan Wang, Yuan Wang, Yutong Zhang, Yongxin Li, Tianyu She, Meiqing He, Hailing He, Dong Zhang, Dong Zhang, Jue Jiang

“…DeLong’s test was employed to compare the differences between the groups.ResultsAmong the five models, the one based on the ResNet18 algorithm demonstrated the highest performance. It exhibited statistically significant advantages in predictive accuracy (p < 0.05) compared to the models based on ResNet152, ResNet101, ResNet50, and ResNet34 algorithms. …”
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Microsatellite instability in endometrial cancer: the role of diagnostic methods and their clinical application. Expert consensus by A. S. Tyulyandina, E. A. Ulrikh, L. A. Kolomiets, S. E. Krasilnikov, A. G. Kedrova, A. A. Rumyantsev, G. A. Raskin, A. I. Nesterova, M. V. Volkonskiy, O. N. Churuksaeva, A. Yu. Goryainova, V. V. Zhavoronkova, V. N. Dmitriev, S. T. Nazranova, A. V. Shkradyuk, K. S. Volkova, A. I. Arutyunova, S. N. Kunitskaya, L. V. Stepura, T. G. Zolotoreva, E. B. Shakhnovich, E. V. Ponomareva, M. A. Strokova, A. S. Danilova, E. S. Martynova

“…It also describes a new diagnostic algorithm for the detection of dMMR and MSI.…”
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Application of machine learning in predicting adolescent Internet behavioral addiction by Yao Gan, Li Kuang, Xiao-Ming Xu, Ming Ai, Jing-Lan He, Wo Wang, Su Hong, Jian mei Chen, Jun Cao, Qi Zhang

“…ObjectiveTo explore the risk factors affecting adolescents’ Internet addiction behavior and build a prediction model for adolescents’ Internet addiction behavior based on machine learning algorithms.MethodsA total of 4461 high school students in Chongqing were selected using stratified cluster sampling, and questionnaires were administered. …”
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Aggregation-Based Ensemble Classifier Versus Neural Networks Models for Recognizing Phishing Attacks by Wojciech Galka, Jan G. Bazan, Urszula Bentkowska, Kamil Szwed, Marcin Mrukowicz, Pawel Drygas, Lech Zareba, Marcin Szpyrka, Piotr Suszalski, Sebastian Obara

“…This contribution proposes a classifier designed to reduce the number of false positive detections. It is a self-tuning model, tested in the context of phishing link detection. …”
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Eco-friendly QbD-optimized chromatographic method for simultaneous analysis of metronidazole and nicotinamide with applications in permeation, stability, and sustainability evaluat... by Kanaka Parvathi Kannaiah, Mohamed A. M. Ali, Hemanth Kumar Chanduluru, Anis Ahmad Chaudhary, Mahmoud El-Maghrabey, Reem H. Obaydo, Galal Magdy, Mohamed A. El Hamd

“…To further support its sustainability, a comprehensive hexametric evaluation was conducted using multiple greenness assessment tools, including the Unified Greenness Principles (ChlorTox Scale), Green Engineering principles (Spider tool), Green and White Analytical Chemistry Principles (AGREE, Hexagon model, RGB12 Algorithm), and alignment with the UN Sustainable Development Goals (SDGs) via the NQS Indicator. …”
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Evaluation of a Machine Learning Model Based on Laboratory Parameters for the Prediction of Influenza A and B in Chongqing, China: Multicenter Model Development and Validation Stud... by Weiwei Hu, Yulong Liu, Jian Dong, Xuelian Peng, Chunyan Yang, Honglin Wang, Yong Chen, Shan Shi, Jin Li

“…The CatBoost (CATB) algorithm was optimized via 5-fold cross-validation and random grid search using 24 routine blood parameters. …”
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Artificial Intelligence in Cardiovascular Diagnosis: Innovations and Impact on Disease Screenings by Amber Ahmad, Sahil Ahmad, Rida Ahmad, Jahnavi Bodi, Abdulla Mohamed, Ahmad Wasim

“…Materials and methods: Various AI models as well as algorithms, such as machine learning (ML) and deep learning (DL) algorithms, have shown good results in the detection of diseases like heart failure, atrial fibrillation, coronary artery disease, and valvular heart disease. …”
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Automatic Three-Dimensional Measurement of Large-Scale Structure Based on Vision Metrology by Zhaokun Zhu, Banglei Guan, Xiaohu Zhang, Daokui Li, Qifeng Yu

“…A new kind of coded target consisting of circular retroreflective discs is designed, and corresponding detection and recognition algorithms based on blob detection and clustering are presented. …”
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Ubiquitous Health Management System with Watch-Type Monitoring Device for Dementia Patients by Dongmin Shin, Dongil Shin, Dongkyoo Shin

“…The proposed data analysis algorithm acquires the exercise information and detects the step count in patients’ motion acquired from the acceleration sensor and verifies the three cases of fast pace, slow pace, and walking pace, showing 96% of the experimental results. …”
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Molten Pool Image Segmentation Based on Adaptive Multi-Scale Attention Mechanism by Yuefeng Chen, Weihua Liu, Qing Yang, Huabin Chen, Qi Jiang

“…This study presents an innovative segmentation algorithm that seamlessly integrates an adaptive multi-scale attention mechanism with the Lossab loss function to tackle challenges like overlapping molten pool contours and arc interference during image segmentation. …”
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Fast Hearing-Threshold Estimation Using Multiple Auditory Steady-State Responses with Narrow-Band Chirps and Adaptive Stimulus Patterns by Roland Mühler, Katrin Mentzel, Jesko Verhey

“…A statistical test in the frequency domain was used to detect the response. The recording of the steady-state responses was controlled in eight independent recording channels with an adaptive, semiautomatic algorithm. …”
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Optimizing Power Quality on High-Speed Rail Networks: Advances in Measurement and Evaluation Methods by Taleb Yassine, Lamrani Roa, Touil Redouane, Abbou Ahmed

“…The purpose is to present a standardized algorithm that can reliably detect disturbances in order to evaluate the quality of electricity on high-speed rail traction substations. …”
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The risk of fractures and the need for anti-osteoporotic treatment in patients with systemic sclerosis by A. О. Efremova, N. V. Toroptsova, O. V. Dobrovolskaya, N. V. Demin, O. A. Nikitinskaya

“…The patients underwent a questionnaire survey, by calculating the risk of major fractures with the FRAX® algorithm and dual-energy X-ray densitometry (DXA) of the lumbar spine and proximal femur.Results and discussion. …”
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Fault Diagnosis and Data Reconstruction of Temperature Sensors for Wind Turbine Stator Winding by Ling Zhou, Qiancheng Zhao, Jinhui Zeng, Anfeng Zhu, Xiafei Long, Ling He

“…The input parameters of the model are determined via Pearson’s correlation coefficient method, whereas the exponentially weighted moving average (EWMA) is utilized to detect faults. To ensure system stability in the event of sensor failure, a multi-input single-output sensor fault data reconstruction model is proposed on the basis of long-term and short-term memory (LSTM) networks, which are further optimized using the seagull optimization algorithm (SOA-LSTM). …”
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Enhanced Multi-Criteria DNA Sequence Analysis Using Neutrosophic Logic and Deep Learning: An Integrated Approach for Comparison and Classification by Romany M. Farag, Mahmoud Y. Shams, Dalia A. Aldawody, Hazem M. El-Bakry, Huda E. Khalid, Ahmed K. Essa, A. A. Salama

“…Traditionally, traditional methods such as multiple sequence alignment (MSA) algorithms or the NeedlemanWinch algorithm become extremely cumbersome when faced with large or unclear data. …”
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Massively parallel unsupervised single-particle cryo-EM data clustering via statistical manifold learning. by Jiayi Wu, Yong-Bei Ma, Charles Congdon, Bevin Brett, Shuobing Chen, Yaofang Xu, Qi Ouyang, Youdong Mao

“…Applications to several experimental datasets suggest that our algorithm can detect subtle structural differences among classes via a hierarchical clustering strategy. …”
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Development and validation of trigger tools in primary care: A scoping review. by Inge Dhamanti, Elida Zairina, Ida Nurhaida, Salsabila Salsabila, Fitri Yakub

“…The use of trigger tools could help clinicians and patients detect adverse events in a patient's medical record. …”
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The implementation of random survival forests in conflict management data: An examination of power sharing and third party mediation in post-conflict countries. by Andrew B Whetten, John R Stevens, Damon Cann

“…We provide a brief tutorial introduction to the random survival forest (RSF) algorithm and contrast it to a popular predecessor, the Cox proportional hazards model, with emphasis on methodological utility for political science researchers. …”
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Phaseless Diagnosis and Pattern Correction of Faulty Antenna Arrays via Advanced Bayesian Compressive Sensing Approaches by Zi An Wang, Ping Li

“…This method features a modified forward projection rule to accelerate convergence and utilizes a BCS algorithm during backward projection to find sparse correction vectors. …”
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