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One essential factor of a balanced diet to prevent morbidity and mortality, and promote a good nutritional status is the consumption of nutrient-dense foods with an appropriate macronutrients dispersal (carbohydrates, protein, fat) and the right amount of calories based on personal energy expenditure. While the field of dietetics and nutrition has...
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... examples are the use of content-based, collaborative, or hybrid system. As known on nutrition science, there are existing recommender systems on the healthy domain but Trattner & Elsweiler [31] concluded that these systems still remain preliminary largely due to the nonappearance of integrated nutrition knowledge (e.g., the inclusion of Pinggang Pinoy of FNRI-DOST when generating a meal plan, see Figure 1). It is likewise possible that these systems are too reliant on user preference and not on nutrition guidelines like Food-Based Dietary Guidelines. ...
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The present study was an attempt to assess the nutritional status with respect to anthropometric indices and nutrient intake of the rural adult women in the age of 30-55 years in Kanava Nayakkanur village under Udumalpet block of Tirupur district, Tamil Nadu. The study was conducted among 110 rural adult women. Interview schedule was used to elicit...
Citations
... A compelling example of how nanotechnology intersects with precision medicine is its application in personalized nutrition. Garcia's (2019) presentation at the 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management introduced an innovative concept in this field. The discussed meal planner application leverages nanotechnology to design personalized nutrition plans. ...
This chapter explores transformative technologies and their application in supporting and enhancing the lives of children diagnosed with fetal alcohol syndrome (FAS) and autism spectrum disorders (ASD). These two neurodevelopmental disorders, characterized by a diverse range of challenges and symptoms, necessitate innovative and tailored approaches for effective management and support. This chapter explores a range of emerging technological solutions, including artificial intelligence, augmented and virtual reality, and personalized medicine, which are revolutionizing the way healthcare professionals approach diagnosis, treatment, and therapy for FAS and ASD. It also discusses the implications of these technologies in creating personalized and adaptable treatment plans. By doing so, it offers a glimpse into the future of pediatric healthcare where interventions are highly tailored to the individual needs of each child. Ethical considerations, challenges, and the future direction of these technologies in the context of ASD and FAS are also critically analyzed.
... According to Garcia et al. [8], one fundamental component of a fair eating routine to forestall dreariness and mortality, and advance a decent wholesome status is the utilization of supplement thick food sources with fitting macronutrients dispersal (carbs, protein, fat) and the perfect proportion of calories in light of individual energy consumption. The domain of diet and nourishment has been besieged with diet recommendation frameworks throughout long term and very less exploration is done on supper organizer programs based upon macronutrients consistency. ...
... Nutrition applications heavily rely on comprehensive databases that contain accurate information regarding the nutritional composition of different foods and ingredients. One illustrative example is the 'Plan-Cook-Eat' application that utilized a combination of the Philippine Food Composition Table, My Food Data, FooDb, and USDA Food Composition Databases [47]. These nutrition databases serve as a crucial resource for analyzing dietary intake, providing personalized recommendations, and facilitating nutritional tracking. ...
The field of health and medical sciences has witnessed a surge of published research exploring the applications of ChatGPT. However, there remains a dearth of knowledge regarding its specific potential and limitations within the domain of nutrition. Given the increasing prevalence of nutrition-related diseases, there is a critical need to prioritize the promotion of a comprehensive understanding of nutrition. This paper examines the potential utility of ChatGPT as a tool for improving nutrition knowledge. Specifically, it scrutinizes its characteristics in relation to personalized meal planning, dietary advice and guidance, food intake tracking, educational materials, and other commonly found features in nutrition applications. Additionally, it explores the potential of ChatGPT to support each stage of the Nutrition Care Process. Addressing the prevailing question of whether ChatGPT can replace healthcare professionals, this paper elucidates its substantial limitations within the context of nutrition practice and education. These limitations encompass factors such as incorrect responses, coordinated nutrition services, hands-on demonstration, physical examination, verbal and non-verbal cues, emotional and psychological aspects, real-time monitoring and feedback, wearable device integration, and ethical and privacy concerns have been highlighted. In summary, ChatGPT holds promise as a valuable tool for enhancing nutrition knowledge, but further research and development are needed to optimize its capabilities in this domain.
... Thus, this chapter aims to respond to these challenges by implementing a school-based public health intervention using a CAI-based tool named "VD-CAI". Specifically designed for teaching physical fitness and exercise, this tool is an extended version of nutrition systems called Plan-Cook-Eat (Garcia, 2019) and Virtual Dietitian (Garcia et al., 2020). ...
Empirical evidence has demonstrated the benefits of physical activity in preventing chronic diseases and premature death. Unfortunately, there is a global trend of insufficient physical activity, which was aggravated by the recent global pandemic. Although physical education is often used to promote physical activity, the transition to online education made it difficult to teach fitness and exercise from a distance due to several limiting factors. This chapter aims to respond to these challenges by implementing a school-based public health intervention using a computer-assisted instruction (CAI) tool called VD-CAI. Through an experimental approach, it was found that VD-CAI as an instructional technology shows a performance advantage compared to other pedagogies. Specifically, students who used VD-CAI in their physical education courses received higher scores and exhibited a more positive attitude. This chapter contributes to the growing scientific evidence of the effectiveness of school-based health education programs as well as the expanding literature on CAI and physical education.
... The acquisition of noncommunicable diseases is closely tied to dietary habits (Asakura et al., 2017;Garcia, 2019;Schmidt et al., 2011). Food education programs are therefore implemented worldwide to establish healthy eating patterns. ...
Children often make unhealthy food choices because they lack nutrition knowledge. This chapter consequently assessed the potential employment of a nutrition intelligent tutoring system (NutritionITS) for teaching and learning basic nutrition concepts in primary education. Following the K-12 Health Curriculum Guide by the Department of Education, NutritionITS incorporated the first quarter content in the grade 1 level. Using an exploratory sequential mixed methods design, it was evaluated by teachers and parents. The qualitative phase served as the participatory design process that extracted the features needed by teachers. On the other hand, the quantitative phase served as the prototype evaluation using the technology acceptance model constructs. The results presented in this chapter may assist educational leaders, teachers, parents, and students in achieving a better learning outcome in nutrition education. In addition to its contribution to the literature of educational research, this is the first study to develop an intelligent tutoring system in the field of nutrition science.
... Unfortunately, gym-goers were found to have a low level of nutrition knowledge, especially when compared with athletes (Calella et al., 2021). Following the PN concept, it is insufficient to adhere to any generic dietary plan since an optimal macronutrient distribution compliant with the total daily energy expenditure is vital to achieving fitness goals (Garcia, 2019;Genton, 2011;Ostendorf et al., 2019). ...
... In recent years, there have been growing studies looking into the development and utilization of computer systems and mobile applications to improve nutrition behavior (e.g., Garcia, 2019). According to a systematic review (Paramastri et al., 2020), nutrition applications are associated with increased nutrition knowledge, and using various platforms (e.g., computer, mobile, smartphone, and internet technologies) promotes the attainment of diet and weight goals. ...
... This paper is a sequel to a four-part developmental study that started with the construction of a nutrition application prototype called Plan-Cook-Eat (PCE) (Garcia, 2019). Following the growing trend of PN, we developed PCE to generate tailored dietary prescriptions based on a person's total daily energy expenditure. ...
The Virtual Dietitian (VD) application is a nutrition knowledge-based system that generates personalized meal plans in accordance with the one-size-does-not-fit-all concept of precision nutrition. A subset of the population that was not involved in its four-part developmental study was gym and fitness enthusiasts despite them being important target users. As part of our quality improvement (QI) plan, we initiated a two-phase user testing to inform modifications to VD. We recruited a total of 30 users with prior experience in nutrition applications. In phase 1, they used the current version of VD for a week and answered a mixed-form questionnaire afterward. We used the same questionnaire from our previous study, which is composed of System Usability Scale (SUS) items and open-ended questions. After months of system modification, the same set of users evaluated again the new VD version after another week of use. A paired-sample t-test showed a statistically significant difference in SUS scores before (SUS = 79) and after (SUS = 82) modifying VD based on the suggestions of the participants (p = 0.005). Some new features include water tracker and reminder modules, Google Fit integration, and other nutrition support services (e.g., teleconsultation with registered dietitians). Although further refinements to VD are still needed, we were able to incorporate a QI initiative typically employed by healthcare organizations into software development for a better and improved personalized nutrition application.
... Manuel B. Garcia [13] created Plan-Cook-Eat, a web-based meal planner tool that can create customized diet plans depending on the user's needs. Six licensed nutritionists and dietitians examined the suggestions, while 24 normal users assessed the application. ...
... This application provides a general diet plan not for specific diseases. In paper [3], This paper proposes a image recognition of a food based on the ingredients along with calories are retrieved from the database by using fuzzy logic based on the heat pattern and intensities. Capturing of food images is done using built in camera of mobile devices. ...
In the healthcare industry, the patient's nutrition is a very important key factor in their treatment process. Every user has their own specific nutritional needs and requirements. An appropriate nutrition policy can help the patient's recovery process and possible symptoms. Food recommender systems are platforms that offer personalized suggestions of food diet plans to users. Moreover, there is a lack of usage of food recommendation systems in the healthcare sector. Multiple challenges in representing the domain of food and the patient's needs to make the user’s life easy in using this android application. The present project aims to develop a platform for the users to provide meals, based on their health conditions.
... For regimes like that of Tanzania, it was taken not possible to adopt the lockdown of cities and households with such reasons of budgetary bottlenecks. In this regard, school leaders may offer technology-enabled nutrition tools (e.g., Garcia, 2019;Garcia et al., 2021) to assist their stakeholders in maintaining a healthy lifestyle by eating nutritious meals. ...
The COVID-19 pandemic ushered in fundamental alterations that triggered social and economic crises. Unfortunately, the spread of the coronavirus likewise caused a dramatic disruption in the delivery of education services worldwide. As a response, many countries had to implement various safety measures such as nationwide lockdowns and school closures. The consequences of the pandemic were recognized in the teaching and learning processes as well as adjustments in the practices of administration and management of education services. As the largest educational disruption in human history, the pandemic signified a demand for an emergency preparedness, response, and recovery mechanism (EPRRM) contingency plan that may assist the education machinery in continuing the services despite emergencies and crises. This chapter reviewed the literature on the impact of the COVID-19 pandemic to draw a roadmap on how to develop an education EPRRM contingency plan by merging three core processes: learning, teaching, and administration.
... Just like with VITAL APP, the next step is to perform a systems evaluation with health care professionals and patients both in a clinical setting and as a self-examination and measure the acceptance of stakeholders. It is also important to gather their feedback in order to determine how to improve (e.g., features and requirements) iVital usability and performance, as executed in another study [28]. ...
Vital sign monitoring is a core component of nursing care as information regarding 'vital functions' strengthen medical diagnoses. Consequently, various measurement devices have been proposed and utilized from wearable device to custom engineered equipment. To contribute to the existing innovations of monitoring devices for vital signs, this study proposed a different variation of such a medical device by incorporating the principles of an expert system together with its own wearable vital sign analyzer. At this stage of the project, the device (subsequently referred to as iVital) was a proposal with a prototype as final the product. The primary goal of iVital is to provide both patients and healthcare experts to continuously monitor vital sign measurements remotely. Further, and most importantly, it integrated an expert system where other important data (e.g., patient history and medical records) to detect early signs of clinical deterioration. This work, albeit prefatory, is an evidence of how expert systems can be used in healthcare.
