Ohcanbohtosat - "Machine learning"

Exploring potential barriers in equitable access to pediatric diagnostic imaging using machine learning Dahkki Maryam Taheri-Shirazi, Khashayar Namdar, Khashayar Namdar, Khashayar Namdar, Khashayar Namdar, Kelvin Ling, Karima Karmali, Melissa D. McCradden, Melissa D. McCradden, Melissa D. McCradden, Wayne Lee, Farzad Khalvati, Farzad Khalvati, Farzad Khalvati, Farzad Khalvati, Farzad Khalvati, Farzad Khalvati

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Identification of different degrees of processed ginger using GC-IMS combined with machine learning Dahkki Shuang Liu, Hongjing Dong, Minmin Zhang, Wei Geng, Xiao Wang

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Performance of Machine Learning Classifiers in Classifying Stunting among Under-Five Children in Zambia Dahkki Obvious Nchimunya Chilyabanyama, Roma Chilengi, Michelo Simuyandi, Caroline C. Chisenga, Masuzyo Chirwa, Kalongo Hamusonde, Rakesh Kumar Saroj, Najeeha Talat Iqbal, Innocent Ngaruye, Samuel Bosomprah

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Evidence-based machine learning algorithm to predict failure following cartilage procedures in the knee Dahkki Ron Gilat, Ben Gilat, Kyle Wagner, Sumit Patel, Eric D. Haunschild, Tracy Tauro, Jorge Chahla, Adam B. Yanke, Brian J. Cole

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EARN: an ensemble machine learning algorithm to predict driver genes in metastatic breast cancer Dahkki Leila Mirsadeghi, Reza Haji Hosseini, Ali Mohammad Banaei-Moghaddam, Kaveh Kavousi

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Development of an Online Health Care Assessment for Preventive Medicine: A Machine Learning Approach Dahkki Yu, Cheng-Sheng, Lin, Yu-Jiun, Lin, Chang-Hsien, Lin, Shiyng-Yu, Wu, Jenny L, Chang, Shy-Shin

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A Comprehensive Overview of the COVID-19 Literature: Machine Learning-Based Bibliometric Analysis Dahkki Abd-Alrazaq, Alaa, Schneider, Jens, Mifsud, Borbala, Alam, Tanvir, Househ, Mowafa, Hamdi, Mounir, Shah, Zubair

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Toward generalizable prediction of antibody thermostability using machine learning on sequence and structure features Dahkki Ameya Harmalkar, Roshan Rao, Yuxuan Richard Xie, Jonas Honer, Wibke Deisting, Jonas Anlahr, Anja Hoenig, Julia Czwikla, Eva Sienz-Widmann, Doris Rau, Austin J. Rice, Timothy P. Riley, Danqing Li, Hannah B. Catterall, Christine E. Tinberg, Jeffrey J. Gray, Kathy Y. Wei

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Radiomic-based machine learning model for predicting the surgical risk in children with abdominal neuroblastoma Dahkki Xiaohui Ma, Xuan Jia, Jiawei Liang, Wenqi Wang, Can Lai

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Medicine 2032: The future of cardiovascular disease prevention with machine learning and digital health technology Dahkki Aamir Javaid, Fawzi Zghyer, Chang Kim, Erin M. Spaulding, Nino Isakadze, Jie Ding, Daniel Kargillis, Yumin Gao, Faisal Rahman, Donald E. Brown, Suchi Saria, Seth S. Martin, Christopher M. Kramer, Roger S. Blumenthal, Francoise A. Marvel

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Evaluating the risk of hypertension in residents in primary care in Shanghai, China with machine learning algorithms Dahkki Ning Chen, Feng Fan, Jinsong Geng, Yan Yang, Ya Gao, Hua Jin, Hua Jin, Hua Jin, Hua Jin, Qiao Chu, Dehua Yu, Dehua Yu, Dehua Yu, Dehua Yu, Zhaoxin Wang, Zhaoxin Wang, Zhaoxin Wang, Jianwei Shi, Jianwei Shi, Jianwei Shi

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Synthetic Model Combination: A new machine‐learning method for pharmacometric model ensembling Dahkki Alexander Chan, Richard Peck, Megan Gibbs, Mihaela van derSchaar

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Green building valuation based on machine learning algorithms / Thuraiya Mohd ... [et al.] Dahkki Mohd, Thuraiya, Jamil, Syafiqah, Masrom, Suraya, Ab Rahim, Norbaya

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Classifying Physical Activity Levels in Early ChildhoodUsing Actigraph and Machine Learning Method Dahkki Syifa Wandani, -

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TEKNOLOGI MACHINE LEARNING PADA SISTEM PENDUKUNG PENELITIAN RSYS (RESEARCH SUPPORT SYSTEM) Dahkki Firdamdam Sasmita, -

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SISTEM PREDIKSI LEAD CONVERSION MENGGUNAKAN MACHINE LEARNING MODEL PADA PT. XYZ Dahkki Radyan Nugroho,

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Data Mining Concepts and Applications

Fáttát: “…Machine learning bicssc…”
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Computational Formalism Art History and Machine Learning Dahkki Wasielewski, Amanda

Fáttát: “…Machine learning bicssc…”
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Predicting the Future Big Data and Machine Learning

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Advanced Interpretable Machine Learning Methods for Clinical NGS Big Data of Complex Hereditary Diseases

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