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Supervised machine learning
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A framework for gestational development tracking using 1D-Doppler ultrasound signals in rural Guatemala
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Year
Spring 2020
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School
Laney Graduate School
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Department / Specialty
Computer Science and Informatics
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Degree
Ph.D.
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Submission Type
Dissertation
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Research Field
Artificial Intelligence
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Computer Science
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Health Sciences, Obstetrics and Gynecology
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Committee
Babak Mahmoudi, Emory University
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Faezeh Marzbanrad, Monash University
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Gari D. Clifford, Emory University
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Qiao Li, Emory University
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Keyword
Fetal heart rate (FHR)
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Fetal monitoring
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Intra-uterine growth restriction (IUGR)
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Low-and middle-income countries (LMICs)
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One-Dimension Doppler ultrasound (1D-DUS)
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