An annotated dataset of tongue images supporting geriatric disease diagnosis
Dan Shi,
Chunlei Tang,
Suzanne V. Blackley,
Liqin Wang,
Jiahong Yang,
Yanming He,
Samuel I. Bennett,
Yun Xiong,
Xiao Shi,
Li Zhou,
David W. Bates
Affiliations
Dan Shi
Department of Geriatrics, Yueyang Hospital of Integrated Traditional Chinese Medicine and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200437, China
Chunlei Tang
Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA 02115, USA; Clinical and Quality Analysis, Mass General Brigham, Somerville, MA 02145, USA
Suzanne V. Blackley
Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA 02115, USA; Clinical and Quality Analysis, Mass General Brigham, Somerville, MA 02145, USA
Liqin Wang
Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA 02115, USA
Jiahong Yang
Shanghai Shenkang Hospital Development Center, Shanghai 200041, China
Yanming He
Department of Endocrinology, Yueyang Hospital of Integrated Traditional Chinese Medicine and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200437, China
Samuel I. Bennett
Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA 02115, USA; Clinical and Quality Analysis, Mass General Brigham, Somerville, MA 02145, USA
Yun Xiong
Shanghai Key Laboratory of Data Science, School of Computer science, Fudan University, Shanghai 201203, China
Xiao Shi
Department of Geriatrics, Yueyang Hospital of Integrated Traditional Chinese Medicine and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200437, China; Corresponding author: Xiao Shi
Li Zhou
Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA 02115, USA
David W. Bates
Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA 02115, USA; Clinical and Quality Analysis, Mass General Brigham, Somerville, MA 02145, USA
Hospitalized geriatric patients are a highly heterogeneous group often with variable diseases and conditions. Physicians, and geriatricians especially, are devoted to seeking non-invasive testing tools to support a timely, accurate diagnosis. Chinese tongue diagnosis, mainly based on the color and texture of the tongue, offers a unique solution. 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 15% of 688 (=100) 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. We expect that the dataset can assist in implementing a systematic means of conducting Chinese tongue diagnosis, predicting geriatric syndromes using tongue appearance, and even developing an mHealth application to provide individualized health suggestions for the elderly.
