Zoekresultaten - "Machine Learning"

Deep learning-based cancer survival prognosis from RNA-seq data: approaches and evaluations door Zhi Huang, Travis S. Johnson, Zhi Han, Bryan Helm, Sha Cao, Chi Zhang, Paul Salama, Maher Rizkalla, Christina Y. Yu, Jun Cheng, Shunian Xiang, Xiaohui Zhan, Jie Zhang, Kun Huang

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Journey mapping as a novel approach to healthcare: a qualitative mixed methods study in palliative care door Stephanie Ly, Fiona Runacres, Peter Poon

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Genetic analysis of potential markers and therapeutic targets for immunity in periodontitis door Hui Li, Wanqing Du, Xin Ye, Xi Luo, Xuejing Duan

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Influenza Screening via Deep Learning Using a Combination of Epidemiological and Patient-Generated Health Data: Development and Validation Study door Choo, Hyunwoo, Kim, Myeongchan, Choi, Jiyun, Shin, Jaewon, Shin, Soo-Yong

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Computational determination of toxicity risks associated with a selection of approved drugs having demonstrated activity against COVID-19 door Maral Aminpour, Williams Ernesto Miranda Delgado, Soren Wacker, Sergey Noskov, Michael Houghton, D. Lorne J. Tyrrell, Jack A. Tuszynski

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Multi-categorical classification using deep learning applied to the diagnosis of gastric cancer door Jonas Kloeckner, Tatiana K Sansonowicz, Áttila L Rodrigues, Tatiana W. N Nunes

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Use of subject-specific models to detect fatigue-related changes in running biomechanics: a random forest approach door Hannah L. Dimmick, Cody R. van Rassel, Martin J. MacInnis, Reed Ferber, Reed Ferber

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Telemedicine applied to the follow up of patients with End Stage Renal Failure door Pierre SIMON

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A prognostic model and pre-discharge predictors of post-COVID-19 syndrome after hospitalization for SARS-CoV-2 infection door Oleksii Honchar, Tetiana Ashcheulova, Tetyana Chumachenko, Dmytro Chumachenko, Alla Bobeiko, Viktor Blazhko, Eduard Khodosh, Nataliia Matiash, Tetiana Ambrosova, Nina Herasymchuk, Oksana Kochubiei, Viktoriia Smyrnova

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Decision Support System for Predicting Survivability of Hepatitis Patients door Fahad R. Albogamy, Junaid Asghar, Fazli Subhan, Fazli Subhan, Muhammad Zubair Asghar, Muhammad Zubair Asghar, Mabrook S. Al-Rakhami, Aurangzeb Khan, Aurangzeb Khan, Haidawati Mohamad Nasir, Mohd Khairil Rahmat, Muhammad Mansoor Alam, Muhammad Mansoor Alam, Muhammad Mansoor Alam, Muhammad Mansoor Alam, Muhammad Mansoor Alam, Adidah Lajis, Mazliham Mohd Su'ud

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Identification of potential causal variants for premature ovarian failure by whole exome sequencing door Haengun Jin, JuWon Ahn, YoungJoon Park, JeongMin Sim, Han Sung Park, Chang Soo Ryu, Nam Keun Kim, KyuBum Kwack

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Developments, application, and performance of artificial intelligence in dentistry - A systematic review door Sanjeev B. Khanagar, Ali Al-ehaideb, Prabhadevi C. Maganur, Satish Vishwanathaiah, Shankargouda Patil, Hosam A. Baeshen, Sachin C. Sarode, Shilpa Bhandi

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Virtually Possible: Enhancing Quality Control of 3D-Printed Medicines with Machine Vision Trained on Photorealistic Images door Siyuan Sun, Manal E. Alkahtani, Simon Gaisford, Abdul W. Basit, Moe Elbadawi, Mine Orlu

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Less Is More: Brain Functional Connectivity Empowered Generalizable Intention Classification With Task-Relevant Channel Selection door Haowei Lou, Zesheng Ye, Lina Yao, Yu Zhang

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Proteomic fingerprinting of Neotropical hard tick species (Acari: Ixodidae) using a self-curated mass spectra reference library. door Rolando A Gittens, Alejandro Almanza, Kelly L Bennett, Luis C Mejía, Javier E Sanchez-Galan, Fernando Merchan, Jonathan Kern, Matthew J Miller, Helen J Esser, Robert Hwang, May Dong, Luis F De León, Eric Álvarez, Jose R Loaiza

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Prediction of comorbid diseases using weighted geometric embedding of human interactome door Pakeeza Akram, Li Liao

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Deep phenotyping of pubertal development in Norwegian children: the Bergen Growth Study 2 door Petur B. Juliusson, Ingvild S. Bruserud, Ninnie Helen Bakken Oehme, Andre Madsen, Ingvild H. Forthun, Melissa Balthasar, Karen Rosendahl, Kristin Viste, Astanand Jugessur, Lawrence M. Schell, Robert Bjerknes, Mathieu Roelants

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Identifying intragenic functional modules of genomic variations associated with cancer phenotypes by learning representation of association networks door Minsu Kim, Jennifer E. Huffman, Amy Justice, Ian Goethert, Greeshma Agasthya, VA Million Veteran Program, Ioana Danciu

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Competitiveness of Russian Universities in the Global System of Higher Education: Quantitative Analysis door D. A. Endovitsky, V. V. Korotkikh, M. V. Voronova

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Development and validation of predictive models for skeletal malocclusion classification using airway and cephalometric landmarks door Anand Marya, Samroeng Inglam, Nattapon Chantarapanich, Sujin Wanchat, Horn Rithvitou, Prasitthichai Naronglerdrit

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