Prognostic tools or clinical predictions: Which are better in palliative care? by P Stone, V Vickerstaff, A Kalpakidou, C Todd, J Griffiths, V Keeley, K Spencer, P Buckle, D Finlay, R Z Omar

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SIGNAL MODEL FOR SPATIAL POSITION SENSORS IN MAGNETIC TRACKING SYSTEMS by Roman Holyaka, Tetyana Marusenkova, Dmytro Fedasyuk

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Review of open libraries for pharmacoeconomic analysis in R environment by I. A. Lackman, R. I. Sladkov, V. M. Timiryanova

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Enhancing Stroke Prediction with Logistic Regression and Support Vector Machine Using Oversampling Techniques by Syamsul Risal, Fajar Apriyadi, A. Sumardin, Andini Dani Achmad, Annisa Nurul Puteri

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Predicting depression in healthy young adults: A machine learning approach using longitudinal neuroimaging data by Ailing Zhang, Haobo Zhang

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Targeted Sequencing of Lung Function Loci in Chronic Obstructive Pulmonary Disease Cases and Controls. by María Soler Artigas, Louise V Wain, Nick Shrine, Tricia M McKeever, UK BiLEVE, Ian Sayers, Ian P Hall, Martin D Tobin

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Scientific Substantiation of the Creation and Prospects for the Development of an Epidemiological Surveillance System for Infection Caused by the Epstein-Barr Virus by T. V. Solomay, E. G. Simonova, T. A. Semenenko

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The future of immunohistochemistry: advancing precision medicine through artificial intelligence-driven spatial proteomics and multiplexed diagnostic technologies by Ruby Dhar, Arun Kumar, Subhradip Karmakar

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Transcriptome Derived Artificial neural networks predict PRRC2A as a potent biomarker for epilepsy by Wayez Naqvi, Prekshi Garg, Prachi Srivastava

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A Novel Immune-Related Three-Gene Signature and Immune Infiltration Insights in Psoriasis and Chronic Kidney Disease by Yin T, Zhang T, Ma L

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DEVELOPMENT OF METHODOLOGY FOR DESIGNING TESTABLE COMPONENT STRUCTURE OF DISCIPLINARY COMPETENCE by Vladimir I. Freyman

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THE FORMATION OF INFORMATICS COMPETENCY FOR FUTURE COMPUTER SCIENCE TEACHERS IN THE PROCESS OF STUDYING COMPUTER MATHEMATICS by Варвара Черненко

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PROACTIVE MITIGATION OF DDoS IoT-RELATED ATTACK USING MACHINE LEARNING AND SOFTWARE DEFINED NETWORKING TECHNIQUES by Emmanuel J. Ebong, Samuel N. John, Dominic S. Nyitamen, Samuel F. Kolawole

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AlgAlert: A two-level approach for algae bloom prediction using deep learning by Areej Alsini, Amina Saeed, Dawood Amin

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Data-Driven Revolution in Academic Support for Mathematics Underachievers through Random Forest Individual and Hybrid Model by Asadi Srinivasulu, Vanithamani Palanisamy

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Burden of pneumonia and meningitis caused by Streptococcus pneumoniae in China among children under 5 years of age: a systematic literature review. by Ying Chen, Wei Deng, Song-Mei Wang, Qi-Mei Mo, Huan Jia, Qun Wang, Song-Guang Li, Xiang Li, Bao-Dong Yao, Cheng-Jun Liu, Yi-Qiang Zhan, Chen Ji, Anna Lena Lopez, Xuan-Yi Wang

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Assessing change point detection methods to enable robust detection of early stage Artisanal and Small-Scale mining (ASM) in the tropics using Sentinel-1 time series data by Mensah Isaac Obour, Barrett Brian, Cahalane Conor

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Data-driven predictive models for sustainable smart buildings by Prabhu Rajaram, Gnana Swathika O․V․

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Transfer and deep learning models for daily reference evapotranspiration estimation and forecasting in Spain from local to national scale by Yu Ye, Aurora González-Vidal, Miguel A. Zamora-Izquierdo, Antonio F. Skarmeta

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Machine learning based method for forecasting short-term passenger flow in urban rail stations by HU Mingwei, SHI Xiaolong, WU Wenlin, HE Guoqing

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