Establishing a healthy lifestyle has become a very important aspect in people's lives. The latter requires maintaining a healthy nutrition by considering the type and quantity of consumed foods. It also requires maintaining an active lifestyle including the necessary amount of physical exercise to regulate one's intake and consumption of calories and nutrients. As a result, people reach out for nutrition experts to perform health assessment, whose services are costly, time consuming, and not readily available. While various e-nutrition solutions have been developed, yet most of them perform meal planning without performing health state assessment or evaluation (traditionally provided by human experts). To our knowledge, there is no existing automated solution to perform nutrition health assessment, recommendation, and progress evaluation, which are central pre-requites to the meal planning task. In this study, we introduce a novel framework titled PIN for Personalized Intelligent Nutrition recommendations. PIN relies on the fuzzy logic paradigm to simulate human expert health assessment capabilities, including weight, caloric intake, and exercise recommendations as well as progress evaluation and recommendation adjustments. It includes three essential and complementary modules: i) Weight Assessment and Recommendation (WAR), ii) Caloric Intake and Exercise Recommendation (CIER), and iii) Progress Evaluation and Recommendation Adjustment (PERA). This underlines the first computerized solution for nutrition health assessment. We have conducted a large battery of experiments involving 50 patient profiles and 11 nutrition expert evaluators to test the performance of PIN and evaluate its health assessment quality. Results show that PIN’s assessment and recommendations are on a par with and sometimes surpass those of human nutritionists.

建立健康的生活方式已经成为人们生活中非常重要的方面。后者需要通过考虑食用食物的类型和数量来保持健康的营养。它还需要保持积极的生活方式，包括进行必要的体育锻炼以调节一个人的卡路里和营养摄入和消耗。结果，人们需要营养专家来进行健康评估，因为他们的服务昂贵，费时且不易获得。尽管已经开发了各种电子营养解决方案，但其中大多数执行膳食计划却没有执行健康状态评估或评估（由人类专家传统提供）。据我们所知，目前尚没有用于进行营养健康评估，推荐和进度评估的自动化解决方案，这是膳食计划任务的主要前提。在这项研究中，我们介绍了一个名为个性化智能营养推荐的PIN码。PIN依靠模糊逻辑范式来模拟人类专家的健康评估能力，包括体重，热量摄入，运动建议以及进度评估和建议调整。它包括三个基本且互补的模块：i）体重评估和建议（WAR），ii）热量摄入和运动建议（CIER），以及iii）进度评估和建议调整（PERA）。这突出了第一个用于营养健康评估的计算机解决方案。我们进行了大范围的实验，涉及50位患者概况和11位营养专家评估师，以测试PIN并评估其健康评估质量。结果表明，PIN的评估和建议与人类营养学家的评估和建议相当，有时甚至超过。