Bilaketaren emaitzak - "Machine Learning"

Advancing drug safety science by integrating molecular knowledge with post‐marketing adverse event reports nork Theodoros G. Soldatos, Sarah Kim, Stephan Schmidt, Lawrence J. Lesko, David B. Jackson

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Advanced Metrics for Assessing Holistic Care: The "Epidaurus 2" Project nork Frederick O Foote MD, Herbert Benson MD, Ann Berger MSN, MD, Brian Berman MD, James DeLeo PhD, Patricia A. Deuster PhD, MPH, David J Lary PhD, Marni N. Silverman PhD, Esther M Sternberg MD

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Comparison of cephalometric measurements between conventional and automatic cephalometric analysis using convolutional neural network nork Sangmin Jeon, Kyungmin Clara Lee

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Onset of effects of non-pharmaceutical interventions on COVID-19 infection rates in 176 countries nork Ingo W. Nader, Elisabeth L. Zeilinger, Dana Jomar, Clemens Zauchner

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A Neural Network and Optimization Based Lung Cancer Detection System in CT Images nork Chapala Venkatesh, Kadiyala Ramana, Siva Yamini Lakkisetty, Shahab S. Band, Shweta Agarwal, Amir Mosavi, Amir Mosavi, Amir Mosavi

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"Not by Our Feeling, But by Other's Seeing": Sentiment Analysis Technique in Cardiology-An Exploratory Review nork Adrian Brezulianu, Adrian Brezulianu, Alexandru Burlacu, Alexandru Burlacu, Iolanda Valentina Popa, Iolanda Valentina Popa, Muhammad Arif, Oana Geman

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E-Learning at-Risk Group Prediction Considering the Semester and Realistic Factors nork Chenglong Zhang, Hyunchul Ahn

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Advances in the Applications of Bioinformatics and Chemoinformatics nork Mohamed A. Raslan, Sara A. Raslan, Eslam M. Shehata, Amr S. Mahmoud, Nagwa A. Sabri

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Closing the loop - the role of pathologists in digital and computational pathology research nork Tilman T Rau, William Cross, Ricardo R Lastra, Regina C‐L Lo, Andres Matoso, C Simon Herrington

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Development of an AI-Based Skin Cancer Recognition Model and Its Application in Enabling Patients to Self-Triage Their Lesions with Smartphone Pictures nork Aline Lissa Okita, Raquel Machado de Sousa, Eddy Jens Rivero-Zavala, Karina Lumy Okita, Luisa Juliatto Molina Tinoco, Luis Eduardo Pedigoni Bulisani, Andre Pires dos Santos

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Assessing Schizophrenia Patients Through Linguistic and Acoustic Features Using Deep Learning Techniques nork Yan-Jia Huang, Yi-Ting Lin, Chen-Chung Liu, Lue-En Lee, Shu-Hui Hung, Jun-Kai Lo, Li-Chen Fu

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Improved prediction of drug-drug interactions using ensemble deep neural networks nork Thanh Hoa Vo, Ngan Thi Kim Nguyen, Nguyen Quoc Khanh Le

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Student attentiveness analysis in virtual classroom using distraction, drowsiness and emotion detection nork Khwanchai Kaewkaisorn, Krisna Pintong, Songpol Bunyang, Teerarat Tansawat, Thitirat Siriborvornratanakul

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A clinical informatics approach to bronchopulmonary dysplasia: current barriers and future possibilities nork Alvaro G. Moreira, Ameena Husain, Lindsey A. Knake, Khyzer Aziz, Kelsey Simek, Charles T. Valadie, Nisha Reddy Pandillapalli, Vanessa Trivino, James S Barry

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Improved Reinforcement Learning in Asymmetric Real-time Strategy Games via Strategy Diversity nork Raj Dasgupta, John Kliem

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Artificial intelligence for optimizing benefits and minimizing risks of pharmacological therapies: challenges and opportunities nork Salvatore Crisafulli, Francesco Ciccimarra, Chiara Bellitto, Massimo Carollo, Elena Carrara, Lisa Stagi, Roberto Triola, Annalisa Capuano, Cristiano Chiamulera, Ugo Moretti, Eugenio Santoro, Alberto Eugenio Tozzi, Giuseppe Recchia, Giuseppe Recchia, Gianluca Trifirò

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Classification of scanning electron microscope images of pharmaceutical excipients using deep convolutional neural networks with transfer learning nork Hiroaki Iwata, Yoshihiro Hayashi, Aki Hasegawa, Kei Terayama, Yasushi Okuno

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iPseU-CNN: Identifying RNA Pseudouridine Sites Using Convolutional Neural Networks nork Muhammad Tahir, Hilal Tayara, Kil To Chong

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Evidence of repeated zoonotic pathogen spillover events at ecological boundaries nork Antoine Filion, Mekala Sundaram, Mekala Sundaram, John Paul Schmidt, John M. Drake, Patrick R. Stephens

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Serum and Cerebrospinal Fluid Cytokine Biomarkers for Diagnosis of Multiple Sclerosis nork Ekaterina Martynova, Mehendi Goyal, Shikhar Johri, Vinay Kumar, Timur Khaibullin, Albert A. Rizvanov, Subhash Verma, Svetlana F. Khaiboullina, Manoj Baranwal

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