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First Name:
Chunlei
Last Name:
Tang
Datasets & Competitions
To develop a non-invasive assessment tool using machine learning in supporting a timely, accurate diagnosis in the elderly, we created an annotated dataset of 668 tongue images collected from hospitalized geriatric patients in a tertiary hospital in Shanghai, China. Images were captured via a light-field camera using CIELAB color space (to simulate human visual perception) and then were manually labeled by a panel of subject matter experts after chart reviewing patients’ clinical information documented in the hospital’s information system.
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We conducted a semi-structured search of DBLP and MEDLINE using grouped search terms designed for maximal retrieval of relevant studies. DBLP’s search used the terms “survey” and “questionnaire data” to identify a total of 437 records from DBLP. MEDLINE’s search used three MeSH terms (“questionnaires,” “epidemiology,” and “epidemiologic methods”) with filter conditions set to exclude articles related to clinical trials and reviews as well as articles not written in English. The results were limited to articles written in English and published between 2001 and 2016.
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