Bilaketaren emaitzak - "Machine Learning"

Combined miRNA and SERS urine liquid biopsy for the point-of-care diagnosis and molecular stratification of bladder cancer nork Tudor Moisoiu, Mihnea P. Dragomir, Stefania D. Iancu, Simon Schallenberg, Giovanni Birolo, Giulio Ferrero, Dan Burghelea, Andrei Stefancu, Ramona G. Cozan, Emilia Licarete, Alessandra Allione, Giuseppe Matullo, Gheorghita Iacob, Zoltán Bálint, Radu I. Badea, Alessio Naccarati, David Horst, Barbara Pardini, Nicolae Leopold, Florin Elec

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Delineating morbidity patterns in preterm infants at near-term age using a data-driven approach nork Octavia-Andreea Ciora, Tanja Seegmüller, Johannes S. Fischer, Theresa Wirth, Friederike Häfner, Sophia Stoecklein, Andreas W. Flemmer, Kai Förster, Alida Kindt, Dirk Bassler, Christian F. Poets, Narges Ahmidi, Anne Hilgendorff

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Classification and Regression Tree Predictive Model for Acute Kidney Injury in Traumatic Brain Injury Patients nork Wang R, Zhang J, He M, Xu J

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Contribution of socio-demographic and clinical characteristics to predict initial referrals to psychosocial interventions in patients with serious mental illness nork Guillaume Barbalat, Julien Plasse, Isabelle Chéreau-Boudet, Benjamin Gouache, Emilie Legros-Lafarge, Catherine Massoubre, Nathalie Guillard-Bouhet, Frédéric Haesebaert, Nicolas Franck

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Identification of characteristic genes and construction of regulatory network in gallbladder carcinoma nork Hanrui Shao, Jiahai Zhu, Ya Zhu, Lixin Liu, Songling Zhao, Qiang Kang, Yunxia Liu, Hao Zou

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The Association Between State-Level Racial Attitudes Assessed From Twitter Data and Adverse Birth Outcomes: Observational Study nork Nguyen, Thu T, Adams, Nikki, Huang, Dina, Glymour, M Maria, Allen, Amani M, Nguyen, Quynh C

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Using Reports of Symptoms and Diagnoses on Social Media to Predict COVID-19 Case Counts in Mainland China: Observational Infoveillance Study nork Shen, Cuihua, Chen, Anfan, Luo, Chen, Zhang, Jingwen, Feng, Bo, Liao, Wang

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Retrospective analysis of COVID-19 clinical and laboratory data: Constructing a multivariable model across different comorbidities nork Mahdieh Shokrollahi Barough, Mohammad Darzi, Masoud Yunesian, Danesh Amini Panah, Yekta Ghane, Sam Mottahedan, Sohrab Sakinehpour, Tahereh Kowsarirad, Zahra Hosseini-Farjam, Mohammad Reza Amirzargar, Samaneh Dehghani, Fahimeh Shahriyary, Mohammad Mahdi Kabiri, Marzieh Nojomi, Neda Saraygord-Afshari, Seyedeh Ghazal Mostofi, Zeynab Yassin, Nazanin Mojtabavi

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Health Care Analytics With Time-Invariant and Time-Variant Feature Importance to Predict Hospital-Acquired Acute Kidney Injury: Observational Longitudinal Study nork Horng-Ruey Chua, Kaiping Zheng, Anantharaman Vathsala, Kee-Yuan Ngiam, Hui-Kim Yap, Liangjian Lu, Ho-Yee Tiong, Amartya Mukhopadhyay, Graeme MacLaren, Shir-Lynn Lim, K Akalya, Beng-Chin Ooi

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Bioinformatics Updated Features and Applications

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Systems Biology

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Technology in Agriculture

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15th International Conference "Intelligent Systems" (INTELS'22)

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Artificial Intelligence in Oncology Drug Discovery and Development

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Financial markets and public information nork Storkenmaier, Andreas

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Soil Erosion Rainfall Erosivity and Risk Assessment

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Artificial Intelligence in Oncology Drug Discovery and Development

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Geographic Information Systems in Geospatial Intelligence

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Computational Statistics and Applications

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Computational Stylistics in Poetry, Prose, and Drama

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