Long-term use of nonsteroidal anti-inflammatory drugs for pain control in patients with osteoarthritis: results of the 12-month observational study AELITA (Analgesia: Effective Tre... by A. E. Karateev, E. Yu. Polishchuk, E. S. Filatova, A. S. Potapova, V. A. Nesterenko, V. N. Amirdzhanova

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Identifying neurobiological heterogeneity in clinical high-risk psychosis: a data-driven biotyping approach using resting-state functional connectivity by Xiaochen Tang, Yanyan Wei, Jiaoyan Pang, Lihua Xu, Huiru Cui, Xu Liu, Yegang Hu, Mingliang Ju, Yingying Tang, Bin Long, Wei Liu, Min Su, Tianhong Zhang, Jijun Wang

“…Abstract To explore the neurobiological heterogeneity within the Clinical High-Risk (CHR) for psychosis population, this study aimed to identify and characterize distinct neurobiological biotypes within CHR using features from resting-state functional networks. …”
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Spatial Modeling of Airborne Particles (PM2.5 and PM10) in Tehran city Using Convolutional Neural Network. by Abed Bashar Doost, Mohammad Saadi Mesgari

“…In general, risk maps provide useful information about geographic areas with high pollution risks and help in decision-making and targeted pollution reduction efforts.…”
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Rapid Colorectal Tissue Classification Using Data-Driven Raman Techniques by Jakub Tomes, Daniela Janstova, Shayestegan Mohsen, Alla Sinica, Zuzana Kovacova, Jaromir Petrtyl, Jan Mares

“…Various machine-learning algorithms have been evaluated for classification, including Long Short-Term Memory (LSTM), Multi-Layer Perceptron (MLP), and Extreme Gradient Boosting (XGBoost), and hybrid supervised-unsupervised methods involving dimensionality reduction, clustering, and classification. …”
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Isolated Syndesmotic Fixation is Associated with Increased Risk of Arthrodesis and Arthroplasty Operations Compared to Nonoperatively Managed Syndesmotic Injury: A Propensity-Score... by Sean Sequeira MD, Heath P. Gould MD, Walter C. Hembree MD

“…Patients who underwent surgical stabilization were matched using a propensity scoring algorithm to patients who were managed nonoperatively. …”
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Properties of the SURE Estimates When Using Continuous Thresholding Functions for Wavelet Shrinkage by Alexey Kudryavtsev, Oleg Shestakov

“…However, a statistical risk estimate constructed on the basis of the observed data can also be used to assess the quality of noise reduction methods. …”
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Predicting suicidality in people living with HIV in Uganda: a machine learning approach by Anthony B. Mutema, Anthony B. Mutema, Anthony B. Mutema, Lillian Linda, Lillian Linda, Daudi Jjingo, Segun Fatumo, Segun Fatumo, Eugene Kinyanda, Allan Kalungi, Allan Kalungi, Allan Kalungi

“…Incorporating PRS as an additional feature in the model resulted in a 6% improvement in model sensitivity and a 9% reduction in specificity. A positive MDD diagnosis and high stress contributed the most to predicting suicidality risk.ConclusionA cost-sensitive AdaBoost model developed using the sociodemographic, psychosocial, and clinical data of PLWH in Uganda can predict suicidality risk, albeit with modest PPV. …”
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Prevalence estimates of trafficking in persons using statistical definitions: a cross-sectional high-risk community survey in Cape Town, South Africa by Rumi Kato Price, Annah K Bender, Floriana H Milazzo, Edna G. Rich, Nicolette V. Roman, Sheldon X Zhang, Erica L Koegler

“…This study applied the Prevalence Reduction Innovation Forum (PRIF) statistical definitions, developed by the US Department of State, to a community survey in Cape Town, South Africa.Designs A high-risk sampling strategy was used. …”
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Laparoscopic Surgeries in Pediatric Abdominal Surgical Emergencies by Elena Yu. D’yakonova, Aleksandr Yu. Razumovskii, Abdumanap B. Alkhasov, Alexander A. Baranov, Leyla S. Namazova-Baranova, Aleksandr S. Bekin, Aleksei А. Gusev, Ekaterina A. Romanova

“…The article considers the issues of the development of laparoscopic surgery in pediatrics, the current state of this problem in surgical hospitals, the difficulties associated with transition to minimally invasive surgical interventions, in providing emergency surgical care for children. The possible risks of laparoscopic access and methods for their reduction were analyzed. …”
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Comparison of proposed National Institute of Child Health and Human Development panel recommendations with newborn sepsis risk calculator in term neonates exposed to maternal chori... by Arpit Gupta, Julia Youssef, Nidhi Arora, Emad Ghaly, Alexander Shilkrut

“…The National Institute of Child Health and Human Development (NICHD) workshop on MC has proposed a risk assessment algorithm. The objective of the study was to compare the reduction in antibiotic use in newborns treated with SRC and NICHD algorithm and determine the antibiotic use correlation between them. …”
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Calibrating multiplex serology for Helicobacter pylori by Emmanuelle A. Dankwa, Martyn Plummer, Daniel Chapman, Rima Jeske, Julia Butt, Michael Hill, Tim Waterboer, Iona Y. Millwood, Ling Yang, Christiana Kartsonaki

“…Prospective studies provide reliable evidence for quantifying the association between gastric cancer and H. pylori, as they circumvent the risk of a false negative due to possible reduction in antibody levels before cancer development. …”
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Optimizing Virtual Power Plant Operations in Energy and Frequency Regulation Reserve Markets: A Risk-Averse Two-Stage Scenario-Oriented Stochastic Approach by Asad Mujeeb, Zechun Hu, Jianxiao Wang, Rui Diao, Likai Liu, Zhiyuan Bao

“…To effectively address these uncertainties, we propose a two-stage scenario-oriented stochastic optimization model that aims to maximize revenue and minimize operational costs by incorporating risk management strategies. Then, a novel fast forward selection and simultaneous reduction (FFS&SR) algorithm is proposed, which efficiently generates and refines scenarios, ensuring computational feasibility without compromising accuracy. …”
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Improved Deviation Sparse Fuzzy C-Means-2D Cumulative Sum Average Filter and Modified Sine Cosine Crow Search Algorithm-Wavelet Extreme Learning Machine for Brain Tumor Detection a... by Suvashisa Dash, Satyasis Mishra, Mohammed Siddique, Demissie J. Gelmecha, Ram Sewak Singh

“…The hybrid modified sine cosine algorithm-crow search algorithm (MSCA-CSA)–based WELM model is proposed to classify the brain tumor. …”
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Joint optimization of maintenance and demand response investments in distribution networks using a hybrid GA-SQP approach by Roshan Alirezaei, Reza Dashti, Mojtaba Mirhosseini

“…To address the lack of coordination between maintenance and DR investment in existing literature, the model incorporates asset reliability through an asset value index considering equipment aging and failure risk. Demand response is modeled using a price elasticity-based load reduction mechanism. …”
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Elucidating the Prognostic and Therapeutic Implications of Insulin Resistance Genes in Breast Cancer: A Machine Learning-Powered Analysis by Lengyun Wei, Dashuai Li, Hongjin Chen, Yajing Pu, Qun Wang, Jintao Li, Meng Zhou, Chenfeng Liu, Pengpeng Long

“…In this study, we employed a suite of machine learning algorithms and statistical methods to construct a robust prognostic model for BC based on insulin resistance-related genes (IRGs). …”
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An approach to forecasting damage due to unfavorable circumstances associated with indistinguishability of source data by V. F. Zolotukhin, A. V. Matershev, L. A. Podkolzina

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Effectiveness of introducing pulse oximetry and clinical decision support algorithms for the management of sick children in primary care in Kenya and Senegal on referral and antibi... by Hélène Langet, Papa Moctar Faye, Francis Njiri, Silvia Cicconi, Gillian A. Levine, Tracy R. Glass, Rose J. Kosgei, Kevin Ngari, Fabian Schaer, Aliou Thiongane, Jean Augustin Diégane Tine, Maymouna Ba, Leah F. Bohle, Mira Emmanuel-Fabula, Mouhamadou Mansour Faye, Susan Horton, Andolo Miheso, Mercy Mugo, Mariah Ngutu, Michael Ruffo, Janet Shauri, Ndèye Marème Sougou, Valérie D’Acremont, Kaspar Wyss, Ousmane Ndiaye, Fenella Beynon

“…Results were estimated in terms of odds ratios and risk differences (RDs), adjusted where computable. …”
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Risk Model for Predicting Gaps in Surgical Oncology Care Among Patients With Stage I-III Rectal Cancer From KwaZulu-Natal, South Africa by Yoshan Moodley, Willie Brink, Jacqueline van Wyk, Shakeel Kader, Steven D. Wexner, Alfred I. Neugut, Ravi P. Kiran

“…A supervised logistic regression machine learning algorithm was used to train and test an appropriate risk model, which was translated into a nomogram. …”
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TCN–Transformer Spatio-Temporal Feature Decoupling and Dynamic Kernel Density Estimation for Gas Concentration Fluctuation Warning by Yanping Wang, Longcheng Zhang, Zhenguo Yan, Jun Deng, Yuxin Huang, Zhixin Qin, Yuqi Cao, Yiyang Wang

“…This study addresses the problems of multi-source data redundancy, insufficient feature capture timing, and delayed risk warning in the prediction of gas concentration in fully mechanized coal-mining operations by constructing a three-pronged technical approach that integrates feature dimensionality reduction, hybrid modeling, and intelligent early warning. …”
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A machine learning model for predicting acute respiratory distress syndrome risk in patients with sepsis using circulating immune cell parameters: a retrospective study by Kaihuan Zhou, Lian Qin, Yin Chen, Hanming Gao, Yicong Ling, Qianqian Qin, Chenglin Mou, Tao Qin, Junyu Lu

“…Principal component analysis (PCA) was used for dimensionality reduction and to comprehensively evaluate the models’ predictive capabilities, we used several ML algorithms, including decision trees, k-nearest neighbors (KNN), logistic regression, naive Bayes, random forests, neural networks, XGBoost, and support vector machines (SVM) to predict ARDS risk. …”
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