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DL is a subfield within ML that allows machines to use algorithms inspired by the structure of neural networks. A computer can learn how to classify images and how to assign labels to words in a sentence (semantic labeling) by using DL algorithms [5]. DL programming uses large quantities of unstructured data, calculates complex statistical models, and predicts outcomes without being explicitly programmed.
JMIR Med Educ 2020;6(1):e19285
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Part 3 explored students’ suggestions for a new curriculum using open-ended questions.
A Web-based questionnaire was sent to a total of 223 enrolled and graduated students in the master’s degree program. Overall, 45.7% (102/223) of the participants completed the questionnaire within 2 months of the survey period, and all survey submissions were suitable for analysis. Table 3 illustrates the general demographic characteristics of the participants.
JMIR Med Inform 2020;8(1):e15748
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A variety of synonymous terms were combined using Boolean logic, and a combination of three groups of keywords—(1) elderly, (2) home care, and (3) assistive technology—was selected as the keywords.
JMIR Aging 2019;2(2):e15429
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