Search Results - "Machine Learning"

Machine learning approaches for prediction of early death among lung cancer patients with bone metastases using routine clinical characteristics: An analysis of 19,887 patients by Yunpeng Cui, Xuedong Shi, Shengjie Wang, Yong Qin, Bailin Wang, Xiaotong Che, Mingxing Lei, Mingxing Lei, Mingxing Lei

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Machine Learning-Based Prediction for Incident Hypertension Based on Regular Health Checkup Data: Derivation and Validation in 2 Independent Nationwide Cohorts in South Korea and Japan by Seung Ha Hwang, Hayeon Lee, Jun Hyuk Lee, Myeongcheol Lee, Ai Koyanagi, Lee Smith, Sang Youl Rhee, Dong Keon Yon, Jinseok Lee

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Application of supervised machine learning algorithms to predict the risk of hidden blood loss during the perioperative period in thoracolumbar burst fracture patients complicated with neurological compromise by Bo Yang, Lin Gao, Xingang Wang, Jianmin Wei, Bin Xia, Xiangwei Liu, Peng Zheng

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AutoPepVax, a Novel Machine-Learning-Based Program for Vaccine Design: Application to a Pan-Cancer Vaccine Targeting EGFR Missense Mutations by Enrico Bautista, Young Hyun Jung, Manuela Jaramillo, Harrish Ganesh, Aryaan Varma, Kush Savsani, Sivanesan Dakshanamurthy

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Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin by Pisal, Nurul Shahira, Abdul Rahman, Shuzlina, Hanafiah, Mastura, Kamarudin, Saidatul Izyanie

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Handbook of Computational Social Science for Policy

Subjects: “…Machine learning.…”
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Multiple-Aspect Analysis of Semantic Trajectories First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Procee...

Subjects: “…Machine learning bicssc…”
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Multiple-Aspect Analysis of Semantic Trajectories First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Proceed...

Subjects: “…Machine learning bicssc…”
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Hyperparameter Tuning for Machine and Deep Learning with R A Practical Guide /

Subjects: “…Machine learning.…”
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Proceedings of the 2021 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory

Subjects: “…computer vision; optische Messtechnik; network security; usage control und machine learning; optical metrology; usage control and machine learning…”
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Proceedings of the 2021 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory

Subjects: “…computer vision; optische Messtechnik; network security; usage control und machine learning; optical metrology; usage control and machine learning…”
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OAPEN Library: description of the publication

Machine Learning-Based Prediction of Growth in Confirmed COVID-19 Infection Cases in 114 Countries Using Metrics of Nonpharmaceutical Interventions and Cultural Dimensions: Model Development and Validation by Yeung, Arnold YS, Roewer-Despres, Francois, Rosella, Laura, Rudzicz, Frank

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Development and verification of machine learning model based on anogenital distance, penoscrotal distance, and 2D:4D finger ratio before puberty to predict hypospadias classification by Zirong He, Bo Yang, Yunman Tang, Xuejun Wang

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Navigating bioactivity space in anti-tubercular drug discovery through the deployment of advanced machine learning models and cheminformatics tools: a molecular modeling based retrospective study by Ratul Bhowmik, Ravi Kant, Ajay Manaithiya, Daman Saluja, Bharti Vyas, Ranajit Nath, Kamal A. Qureshi, Seppo Parkkila, Seppo Parkkila, Ashok Aspatwar

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Performance evaluation of machine learning and Computer Coded Verbal Autopsy (CCVA) algorithms for cause of death determination: A comparative analysis of data from rural South Africa by Michael T. Mapundu, Chodziwadziwa W. Kabudula, Chodziwadziwa W. Kabudula, Eustasius Musenge, Victor Olago, Turgay Celik, Turgay Celik

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Corrigendum: Prioritizing determinants of cognitive function in healthy middle-aged and older adults: insights from a machine learning regression approach in the Canadian longitudinal study on aging by Sarah Singh, Shiran Zhong, Kem Rogers, Vladimir Hachinski, Vladimir Hachinski, Stephanie Frisbee

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A Machine Learning Approach to Predicting Higher COVID-19 Care Burden in the Primary Care Safety Net: Hispanic Patient Population Size a Key Factor by Evan V. Goldstein, Fernando A. Wilson

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Comparison of machine learning algorithms applied to symptoms to determine infectious causes of death in children: national survey of 18,000 verbal autopsies in the Million Death Study in India by Susan Idicula-Thomas, Ulka Gawde, Prabhat Jha

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Prediction of Medical Disputes Between Health Care Workers and Patients in Terms of Hospital Legal Construction Using Machine Learning Techniques: Externally Validated Cross-Sectional Study by Min Yi, Yuebin Cao, Lin Wang, Yaowen Gu, Xueqian Zheng, Jiangjun Wang, Wei Chen, Liangyu Wei, Yujin Zhou, Chenyi Shi, Yanlin Cao

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User feedback on the NHS test & Trace Service during COVID-19: The use of machine learning to analyse free-text data from 37,914 England adults by P. Bondaronek, T. Papakonstantinou, C. Stefanidou, T. Chadborn

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