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Total 88 results found since Jan 2013.
Development and validation of predictive model based on deep learning method for classification of dyslipidemia in Chinese medicine
ConclusionsThis study successfully developed a well-performing classification prediction model for dyslipidemia with MOPS, transforming the syndrome diagnosis problem in TCM into a prediction and classification problem in artificial intelligence. Patients with dyslipidemia of MOPS can be accurately recognized through limited information from patients. We also screened out significant diagnostic factors for composing diagnostic rules of dyslipidemia with MOPS. The study is an avant-garde attempt at introducing the deep-learning method into the research of TCM, which provides a useful reference for the extension of deep lear...
Source: Health Information Science and Systems - April 6, 2023 Category: Information Technology Source Type: research
Development of a Mobile Application Platform for Self-Management of Obesity Using Artificial Intelligence Techniques
Int J Telemed Appl. 2021 Aug 27;2021:6624057. doi: 10.1155/2021/6624057. eCollection 2021.ABSTRACTObesity is a major global health challenge and a risk factor for the leading causes of death, including heart disease, stroke, diabetes, and several types of cancer. Attempts to manage and regulate obesity have led to the implementation of various dietary regulatory initiatives to provide information on the calorie contents of meals. Although knowledge of the calorie content is useful for meal planning, it is not sufficient as other factors, including health status (diabetes, hypertension, etc.) and level of physical activity,...
Source: International Journal of Telemedicine and Applications - September 6, 2021 Category: Information Technology Authors: Sylvester M Sefa-Yeboah Kwabena Osei Annor Valencia J Koomson Firibu K Saalia Matilda Steiner-Asiedu Godfrey A Mills Source Type: research
