Dr. Morteza Noshad
Dr. Morteza Noshad
Research Scientist
Research Scientist
Stanford University
Stanford University
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Machine Learning ... Deep Learning ... Natural Language Processing ... Biomedical Informatics
Machine Learning ... Deep Learning ... Natural Language Processing ... Biomedical Informatics
Bio: Dr. Morteza Noshad received his Ph.D. in computer science from the University of Michigan in 2019 where he investigated information theoretic methods to machine learning and deep learning. He then joined Stanford as a postdoctoral research fellow and he is already a research scientist. His research interests include applying machine learning and deep learning methods to improve medical decision-making and health-care processes.
Selected Research Projects
Selected Research Projects
Clinical Process Mining (AMIA Virtual Summit 2021)
Mining Clinical Access Log Data (AMIA Workshop 2020)
Clinical Recommender System (KDD 2020)
Deep Learning Visualization Tool (ICASSP 2019)
Near-Optimal Feature Selection Method Based on Bayes Error (ICASSP 2020)
Benchmark Learning in Machine Learning and Deep Learning (JMLR 2020)
Get in touch at noshad@stanford.edu
Get in touch at noshad@stanford.edu
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