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Evaluation of machine learning algorithms for Health and Wellness application...
The dataset used in the paper is a collection of patient data for a machine learning algorithm for health and wellness applications. -
Synthetic Wearable Users Dataset
The dataset consists of synthetic wearable users generated from a large-scale anonymized dataset from 30000 real wearable users. -
Personal Health Insights Evaluation Dataset
The dataset consists of over 4000 closed and open-ended questions across multiple domains for both automated and human evaluation. -
Personal Health Insights Agent (PHIA) Dataset
The dataset consists of over 4000 health insights questions, including both objective and open-ended questions, for evaluating the capabilities of the Personal Health Insights... -
NHANES dataset
A dataset of physical activity data from National Health and Nutrition Examination Survey (NHANES) participants.