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Ontology-based Personalized Diet Plan Web Service Using HL 7 Health Screening Data

The advancement of medical technology greatly extends people’s lifespan. As many people try to keep well and fit, healthy diet has become increasingly important today. However, deficiencies, excesses, and imbalances in a diet can produce negative impacts on health, which may even lead to diseases. The most alltoo-common diseases and symptoms can often be prevented or alleviated by better diet active living. The majority of dietitians are health professionals and are trained to provide safe, evidence-based dietary advice and interventions such as limiting maximum calorie intake daily, avoiding certain types of food, etc. However, most of people who desire health conscious diet are still in uncertain situations regarding the appropriateness of their diet plan in the context of daily life. In this paper, we developed an ontological, RESTful Diet-Aid web service based on health screening data of Health Level Seven International (HL7) to provide a personalized Diet-Aid service, which can be accessed by using any Internet-enabled device. The Diet-Aid can generate a dietetic meal or filter out unsuitable food on site according to user’s health conditions based on the accessible recipe information. The development of such a Diet-Aid is expected to benefit both institutions of health screening and food suppliers.