Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals. by Antonio Rivero-Juárez, David Guijo-Rubio, Francisco Tellez, Rosario Palacios, Dolores Merino, Juan Macías, Juan Carlos Fernández, Pedro Antonio Gutiérrez, Antonio Rivero, César Hervás-Martínez

“…The simplicity of the model means that it is possible to analyse the relationship between patient characteristics and the probability of belonging to the treated group.…”
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Prognosis modelling of adverse events for post-PCI treated AMI patients based on inflammation and nutrition indexes by Liu Yang, Li Du, Yuanyuan Ge, Muhui Ou, Wanyan Huang, Xianmei Wang

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ALGORITHM OF DIAGNOSIS AND TREATMENT OF PATIENTS WITH PELVIC TRAUMA COMPLICATED WITH RETROPERITONEAL HEMORRHAGE by A. M. Fayn, A. N. Smolyar, P. A. Ivanov, N. N. Zadneprovskiy

“…The study group consisted of 164 patients who were treated according to the new algorithm for diagnosis and treatment. …”
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Constructive algorithms for forming compound cubic Bezier curves in space and on plane by V. A. Korotkii

“…The article considers two graph-analytical algorithms. The first algorithm makes it possible to form a spatial curve passing through given nodal points with direction vectors specified at these points. …”
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An improved distance vector-Hop localization algorithm based on coordinate correction by Xing Wang, Yunfeng Nie

“…In order to improve the localization accuracy of distance vector-Hop algorithm under the random topology network scenarios, a novel algorithm named coordinates correction-distance vector-Hop is proposed. …”
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Application of Whale Optimization Algorithm to Inverse Scattering of an Imperfect Conductor with Corners by Kun-Chou Lee, Pai-Ting Lu

“…In this paper, the whale optimization algorithm (WOA) is applied to the inverse scattering of an imperfect conductor with corners. …”
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Features of modern algorithm of examination and treatment patients with endo-perio lesions

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Algorithm of management of patients with acute cholestatic hepatitis (Clinical case presentation) by T. A. Deyeva, Ye. N. German, M. V. Mayevskaya, V. T. Ivashkin

“…To show diagnostic and treatment algorithm for patients with cholestatic syndrome by the example of clinical case.Features of clinical case. …”
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Efficient Algorithm for the Nonadditive Traffic Assignment Problem With Link Capacity Constraints by Wangxin Hu, Zhongxiang Huang, Shihao Cao

“…This paper presents an insightful examination of the modeling and efficient solution algorithm for the link capacitated nonadditive traffic assignment problem (CNaTAP) to provide highly accurate flow solutions for large-scale networks. …”
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Review of Josh Simons’ Book "Algorithms for the People – Democracy in the Age of AI" by Thomas Klikauer

“… Increasingly, artificial intelligence, algorithms and machine learning models guide what Internet users see and read on their screens. …”
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An Extended Firefly Algorithm for Enhanced Information Diffusion with Multi-Factor Considerations by Amjad Alloush, Ghaida Rebdawi:, Mohammad Saeed Abou Trab

“…In this study, we propose an enhanced information diffusion model based on an Extended Modified Firefly Algorithm (EMFA), integrating four key features: content type, engagement level, temporal behavior, and user social attributes. …”
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Application of Metaheuristic Algorithms and ANN Model for Univariate Water Level Forecasting by Sarah J. Mohammed, Salah L. Zubaidi, Nadhir Al-Ansari, Hussein Mohammed Ridha, Anmar Dulaimi, Ruqayah Al-Khafaji

“…The methodology includes preprocessing data methods, and the ANN model optimises with a marine predator algorithm (MPA). In the optimisation procedure, to decrease uncertainty and expand the predicting range, the slime mould algorithm (SMA-ANN), constriction coefficient-based particle swarm optimisation and chaotic gravitational search algorithms (CPSOCGSA-ANN), and particle swarm optimisation (PSO-ANN) are applied to compare and validate the MPA-ANN model performance. …”
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Machine Learning Algorithms for Prediction of Survival Curves in Breast Cancer Patients by Roqia Saleem Awad Maabreh, Malik Bader Alazzam, Ahmed S. AlGhamdi

“…The main goal of this study is to find the best machine learning algorithms for predicting the individualised survival of breast cancer patients, as well as the most appropriate treatment, and to propose new numerical variable stratifications. …”
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FEATURE-BASED IMPLEMENTATION OF MACHINE LEARNING ALGORITHMS FOR CARDIOVASCULAR DISEASE PREDICTION by H. Singh, R. Tripathy, P. Kumar Sarangi, U. Giri, S. Kumar Mohapatra, N. Rameshbhai Amin

“…After applying all algorithms to our data set, the experimental results concluded that the Logistic Regression model has predicted well with highest accuracy of 92% in comparison with other algorithms.…”
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Random Oversampling-Based Diabetes Classification via Machine Learning Algorithms by G. R. Ashisha, X. Anitha Mary, E. Grace Mary Kanaga, J. Andrew, R. Jennifer Eunice

“…The proposed approach considers ML algorithms such as random forest, gradient boosting models, light gradient boosting classifiers, and decision trees, as they are widely used classification algorithms for diabetes prediction. …”
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Back pain in young people: algorithm of management in practice of primary physician by N. A. Shostak, N. G. Pravdyuk, A. V. Novikova

“…A therapist who treats a patient with persistent BS and a high risk of chronization without symptoms of “red flags” should prescribe an magnetic resonance imaging of the spine. …”
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Efficacy of a new treatment algorithm for capsulitis of the fingers in rock climbers by Volker Rainer Schöffl, Volker Rainer Schöffl, Volker Rainer Schöffl, Volker Rainer Schöffl, Volker Rainer Schöffl, Christoph Lutter, Christoph Lutter, Hans-Christoph Lang, Mario Perl, Othmar Moser, Michael Simon

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Survival Prediction in Brain Metastasis Patients Treated with Stereotactic Radiosurgery: A Hybrid Machine Learning Approach by Tuğçe Öznacar, İpek Pınar Aral, Hatice Yağmur Zengin, Yılmaz Tezcan

“…Methods: We applied a hybrid machine learning approach to predict survival in brain metastasis patients treated with SRT, utilizing real-world data. Four algorithms—XGBoost, CatBoost, Random Forest, and Gradient Boosting—were compared within a meta-model framework to identify the most accurate for survival prediction. …”
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Blood-based biomarkers in patients with non-small cell lung cancer treated with immune checkpoint blockade by Yo-Ting Tsai, Jeffrey Schlom, Renee N. Donahue

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Automated machine learning for predicting perioperative ischemia stroke in endovascularly treated ruptured intracranial aneurysm patients by Yuhang Peng, Ke Bi, Xiaolin Zhang, Ning Huang, Xiang Ji, Weifu Chen, Ying Ma, Yuan Cheng, Yongxiang Jiang, Jianhe Yue

“…Nine machine learning algorithms were evaluated using stratified 10-fold cross-validation. …”
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