Gotowe bibliografie tematyczne / Diet Recommendation System

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Gotowa bibliografia na temat „Diet Recommendation System”

Autor: Grafiati

Data publikacji: 7 czerwca 2025

Data aktualizacji: 2 sierpnia 2025

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Artykuły w czasopismach na temat "Diet Recommendation System"

Shete, Dipanshu. "Diet Recommendation System Using Machine Learning." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–9. https://doi.org/10.55041/ijsrem41831.

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In today’s modern world people all around the globe are becoming more interested in their health and lifestyle. But just avoiding junk food and doing an exercise is not enough, we require a balanced diet. A balanced diet based on our height, weight and age can lead a healthy life. Combined with physical activity, your diet can help you to reach and maintain a healthy weight, reduce your risk of chronic diseases (like heart disease and cancer), and promote your overall health. A balanced diet is one that gives your body the nutrients it needs to function correctly. Calories in the food is the m

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Kansagara, Harsh. "Diet and Workout Recommendation System Using KNN." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem45702.

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Abstract— The “Diet and Workout Recommendation System” is a personalized platform that provides real-time dietary and fitness guidance based on individual user profiles. Through an intuitive web interface, the system collects data, including age, weight, height, fitness goals, and dietary preferences. The backend processes this data with API integrations and machine learning techniques, including a K-Nearest Neighbors (KNN) model, to generate dynamic meal and workout plans that adapt to user feedback and progress. Using OpenCV for exercise tracking and Flask for efficient data handling, the sy

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Chen, Rung-Ching, Chung-Yi Huang, and Yu-Hsien Ting. "A Chronic Disease Diet Recommendation System Based on Domain Ontology and Decision Tree." Journal of Advanced Computational Intelligence and Intelligent Informatics 21, no. 3 (2017): 474–82. http://dx.doi.org/10.20965/jaciii.2017.p0474.

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As society develops and science and technology improve, people have come to care more about a healthy diet. Diet types have gradually changed and focused more on health management. Taiwan is becoming an aging society in which individuals have irregular lifestyles, long-term unhealthy diets, stressful work, and chronic diseases such as diabetes, hypertension, and high cholesterol. However, most dietary recommendation systems cannot give dietary recommendations for patients with chronic diseases. Though healthy foods are recommended, the systems contain little information on whether nutrients ar

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Rakhman, Raihan Romzi, and Dana Sulistyo Kusumo. "User-Centric Diet Recommender Systems with Human-Recommender System Interaction (HRI) based Serendipity Aspect." Building of Informatics, Technology and Science (BITS) 6, no. 2 (2024): 1020–33. https://doi.org/10.47065/bits.v6i2.5754.

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Currently, obesity is on the rise globally with predictions to continue rising until 2030. Adopting a healthy diet and increasing physical activity are key strategies to reduce the risk of obesity. However, there are significant challenges in adhering to a diet, including the monotony of food choices and difficulty in maintaining motivation. This research aims to develop a user-centered dietary recommendation system that addresses these challenges by introducing serendipity into the diet planning process. Serendipity in this context refers to generating unexpected yet relevant food recommendat

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Reddy, K. Sneha. "Diet Recommendation System Based On Vitamin Intake." Advances in Computational Sciences and Technology 16, no. 1 (2023): 35–43. http://dx.doi.org/10.37622/acst/16.1.2023.35-43.

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Uma, Pyla. "DIET PLANNING AND RECOMMENDATION SYSTEM USING ML AND MERN STACK." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32364.

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The "Diet Planning and Recommendation System Using ML and MERN Stack" project aims to develop an innovative solution to address the challenge of personalized diet planning and recommendation. With the rising awareness of the importance of nutrition in maintaining overall health and wellness, there is a growing demand for tools that can offer tailored dietary guidance to individuals based on their unique needs and preferences. This project leverages the power of Machine Learning (ML) algorithms and the MERN (MongoDB, Express.js, React.js, Node.js) stack to create a comprehensive and user-friend

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Khopkar, Prof P. V. "Fit Fusion : Diet & Workout Recommendation." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47062.

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Abstract: In today’s fast-paced world, maintaining a healthy lifestyle through balanced diet and regular exercise is challenging for many individuals. Generic fitness plans often lack the personalization needed to support diverse body types and lifestyles. This paper presents FitFusion, a web-based system designed to offer personalized diet and workout recommendations based on individual characteristics such as age, weight, height, and dietary preferences. The system integrates machine learning, specifically the Random Forest algorithm, to predict and recommend diet plans based on user data an

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Archana, S., Kumar N. Harish, M. K. KavinNandha, K. KeerthiRaghavan, R. Keren, and Rishawanth L. Liyander. "Smart Health Monitoring and Recommendation System." Recent Trends in Androids and IOS Applications 7 (May 30, 2025): 38–51. https://doi.org/10.5281/zenodo.15550182.

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The Smart Health Monitoring and Recommendation System is an intuitive and comprehensive mobile application designed to enhance healthcare through continuous monitoring, personalized recommendations, and doctor-patient interaction. Tailored for both patients and medical professionals, the app leverages user input and sensor data to monitor health metrics like glucose levels, medication intake, physical activity, diet, and more. With specialized dashboards for patients and doctors, it fosters timely communication, improved decision-making, and better overall health outcomes..

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Lakshmi, N. Naga, M. Jagadeesh Reddy, K. Hari Krishna, and S. Sindhuja Reddy. "Vitamin Deficiency and Food Recommendation System Using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 3823–30. http://dx.doi.org/10.22214/ijraset.2022.43236.

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Abstract: People are not paying attention to the quality of food they eat in our fast-paced and hectic world. They frequently ignore their eating routines and behaviours. Fast-food consumption is frighteningly increasing, which has resulted in the consumption of harmful foods. This causes a variety of health problems, including obesity, diabetes, and an increase in blood pressure, and so forth. As a result, it has become critical for people to have a well-balanced nutritionally sound diet. There are several applications that are thriving to assist folks in gaining control of their food and the

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Thakar, Ajay. "Virtual Dietician for Diet Plan Recommendation." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 111–13. http://dx.doi.org/10.22214/ijraset.2021.34864.

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In this fast and busy schedule life, people are not giving importance to the quality of food they are eating. They tend to neglect their eating patterns and habits. The fast-food consumption rate is alarmingly high and this consequently has led to the intake of unhealthy food. This leads to various health issues such as obesity, diabetes, an increase in blood pressure etc. Hence it has become very essential for people to have a good balanced nutritional healthy diet. There are many applications which are booming to help people so that they can have control over their diet and hence can reduce

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Rozprawy doktorskie na temat "Diet Recommendation System"

LO, YU-WEN, and 羅育文. "The Implementation of Chronic Diet Recommendation System Based on Dietary Ontology and Decision Tree." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/15777217076469629010.

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碩士 朝陽科技大學 資訊管理系 104 Due to the improvement level of medical technology, the person's average age has increased in Taiwan. Lifestyle changes such as unhealthy diet, work pressure and other factor will result chronic disease like diabetic, hypertension and so on. These chronic diseases usually need to spend a lot of time for examinations in hospital; the daily diet management also can help reducing the incidence of the disease and complications. Therefore, the dietary management has become very popular and important topic in recent years. The healthy diet not only to maintain good he

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Książki na temat "Diet Recommendation System"

Nutrient Requirements of Domesticated Ruminants. CSIRO Publishing, 2007. http://dx.doi.org/10.1071/9780643095106.

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Nutrient Requirements of Domesticated Ruminants draws on the most up-to-date research on the energy, protein, mineral, vitamin and water requirements of beef and dairy cattle, sheep and goats. It defines the responses of animals, in weight change, milk production and wool growth, to quantitative and qualitative changes in their feed supply. It has particular application to grazing animals. Factors affecting the intake of feed are taken into account and recommendations are given according to the production systems being used; for instance, the feed intake of a grazing animal is affected b

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Nutrition and feeding of organic cattle. 2nd ed. CABI, 2021. http://dx.doi.org/10.1079/9781789245554.0000.

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Abstract The second edition of this book contains 7 chapters that describe the introductory concepts of cattle nutrition, the aims and principles of organic cattle production, the elements of cattle nutrition, ingredients for organic diets, cattle breeds for organic production, integration of feeding programmes into organic production systems and conclusions and recommendations for the future of nutrition of cattle in organic beef and milk production systems. It provides an important source of peer-reviewed references on the organic feeding of cattle from the international scientific literatur

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Salud Universal en el Siglo XXI: 40 años de Alma-Ata”. Informe de la Comisión de Alto Nivel. Organización Panamericana de la Salud, 2019. http://dx.doi.org/10.37774/9789275320778.

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[Introducción]. Con motivo de los 40 años transcurridos desde la Declaración de Alma-Ata, el 11 y 12 de diciembre de 2017 la Organización Panamericana de la Salud (OPS) convocó en Quito el Foro Regional “Salud Universal en el Siglo XXI: 40 años de Alma-Ata”. Como parte de este movimiento regional la Directora de la OPS, la Dra. Carissa F. Etienne tomó la iniciativa de crear una Comisión de Alto Nivel, denominada “Salud Universal en el Siglo XXI: 40 años de Alma-Ata”, presidida por la Dra. Michelle Bachelet y el Embajador Sr. Néstor Méndez, y conformada por un grupo interdisciplinario de expert

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Części książek na temat "Diet Recommendation System"

Polo-Rodriguez, Aurora, Maria Ariza, Ana Rivas, Miguel Angel Carvajal, and Javier Medina-Quero. "A Recommendation Ubiquitous System to Personalize Diet for Children with Obesity." In Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022). Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-21333-5_27.

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Chen, Rung-Ching, Yung-Da Lin, Chia-Ming Tsai, and Huiqin Jiang. "Constructing a Diet Recommendation System Based on Fuzzy Rules and Knapsack Method." In Recent Trends in Applied Artificial Intelligence. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38577-3_50.

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Ali, Syed Imran, Muhammad Bilal Amin, Seoungae Kim, and Sungyoung Lee. "A Hybrid Framework for a Comprehensive Physical Activity and Diet Recommendation System." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94523-1_9.

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Sharath, P. T., Sasi Gowtham Reddy Sathi, and K. Anita Davamani. "Personal Nutritionist Gui for Diet Recommendation System Using Ensemble Machine Learning Technique Based on User Health Information." In Studies in Systems, Decision and Control. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-75771-6_28.

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Sharawat, Kirti, and Sanjay Kumar Dubey. "Diet Recommendation for Diabetic Patients Using MCDM Approach." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5903-2_26.

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Gaurav, Prashant, and Sanjay Kumar Dubey. "Diet Recommendation to Respiratory Disease Patient Using Decision-Making Approach." In Advances in Intelligent Systems and Computing. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3600-3_7.

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Rabethge, Nico, and Franz Kummert. "Developing a Human-centred AI-based System to Assist Sorting Laundry." In Informatik aktuell. Springer Fachmedien Wiesbaden, 2024. http://dx.doi.org/10.1007/978-3-658-43705-3_3.

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ZusammenfassungThis paper presents the development of a human-centred AI system for the classification of laundry according to washing categories such as color and type. The system aims to provide a solution that is both accurate and easy to use for individuals with varying levels of technical expertise. The development process involved a human-centred approach, including user research and testing, to ensure that the system meets the needs and expectations of its users. The system uses a combination of computer vision techniques and machine learning algorithms to analyze images of dirty laundr

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Moheith, R., and J. Subhashini. "AI-based food recommendation and calorie estimation for personalized diet planning using CNN." In Sustainable Electrical Engineering and Intelligent Systems. CRC Press, 2025. https://doi.org/10.1201/9781003643142-55.

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Espín, Vanesa, María V. Hurtado, Manuel Noguera, and Kawtar Benghazi. "Semantic-Based Recommendation of Nutrition Diets for the Elderly from Agroalimentary Thesauri." In Flexible Query Answering Systems. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40769-7_41.

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Neufeld, Lynnette M., Sheryl Hendriks, and Marta Hugas. "Healthy Diet: A Definition for the United Nations Food Systems Summit 2021." In Science and Innovations for Food Systems Transformation. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-15703-5_3.

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AbstractThe aim of this chapter is to propose a definition of “healthy diets” and provide related evidence, thus permitting the alignment of terminology for the Food Systems Summit and beyond.Diets are combinations of foods and beverages (referred to as foods hereafter, for simplicity) consumed by individuals. However, the specific combination of foods that make up healthy diets is context-specific and depends on many cultural, economic, and other factors. We provide a definition and overview of approaches that have been used to translate this into food-based recommendations. We also provide a

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Streszczenia konferencji na temat "Diet Recommendation System"

Subhedar, Arjun, Pranav Bhutada, Ansh Avi Khanna, Ritik Kumar Gupta, and Raghuram Bharadwaj Diddigi. "Personalised Diet Recommendation System Using Bandits." In 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS). IEEE, 2024. https://doi.org/10.1109/fmlds63805.2024.00089.

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P, Arun Prakash, Harisankar A, Dhanush B, Gnanajothi T, and IJJU Hemanth Kumar. "Diet Recommendation System Using Supervised Machine Learning." In 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2024. http://dx.doi.org/10.1109/icaccs60874.2024.10716981.

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Bagaskara, Afrizal, Azka Noor Rizqi, and Teguh Prasandy. "Balance Diet Recommendation System Using Fuzzy Logic." In 2024 9th International Conference on Business and Industrial Research (ICBIR). IEEE, 2024. https://doi.org/10.1109/icbir61386.2024.10875955.

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Zhao, Lei. "ACMO-Diet: Accelerated Constrained Multi-Objective Optimization for Diet Recommendation." In 2025 IEEE 7th International Conference on Communications, Information System and Computer Engineering (CISCE). IEEE, 2025. https://doi.org/10.1109/cisce65916.2025.11065817.

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Lakshmi, K., K. Deeba, Vani Harave, and Sneha Bharti. "Life Expectancy Prediction And Diet Recommendation System for Cardiovascular and Diabetes Disease Using Machine Learning." In 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS). IEEE, 2024. http://dx.doi.org/10.1109/ickecs61492.2024.10616598.

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Agrawal, Prerna, Savita Gandhi, and Manish Agarwal. "DiabChatbot: A Machine Learning Chatbot for Early Diagnosis of Type II/Mellitus Diabetes and Diet Recommendation in an Indian Scenario." In 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2024. http://dx.doi.org/10.1109/icaccs60874.2024.10716933.

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K, Ananthajothi, Suganthi M, Sujitha P, and Visalatchi R. "Diet Recommendation System Using ML." In International Conference on Recent Trends in Data Science and its Applications (ICRTDA 2023). River Publishers, 2023. http://dx.doi.org/10.13052/rp-9788770040723.097.

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Chibber, Yuvraj, Dushyant Betala, and Srividhya S. "Diet Recommendation System Using Machine Learning." In International Conference on Recent Trends in Data Science and its Applications (ICRTDA 2023). River Publishers, 2023. http://dx.doi.org/10.13052/rp-9788770040723.216.

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Kovasznai, Gergely. "Developing an expert system for diet recommendation." In 2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI). IEEE, 2011. http://dx.doi.org/10.1109/saci.2011.5873056.

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Muhd Hafeez Khan, Hadirah Khan, Sharifalillah Nordin, and Mohd Ramadan Ab Hamid. "Diet Recommendation Expert System for Hypertension Patients." In 2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE). IEEE, 2023. http://dx.doi.org/10.1109/icraie59459.2023.10468502.

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Raporty organizacyjne na temat "Diet Recommendation System"

Winkler-Portmann, Simon. Umsetzung einer wirksamen Compliance in globalen Lieferketten am Beispiel der Anforderungen aus der europäischen Chemikalien-Regulierung an die Automobilindustrie. Sonderforschungsgruppe Institutionenanalyse, 2020. http://dx.doi.org/10.46850/sofia.9783941627796.

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This publication based on a master thesis explores the challenges of the automotive industry regarding the European chemical regulations REACH and CLP, as well as potential improvements of the current compliance activities and the related incentives and barriers. It answers the research question: "To what extent should the compliance activities of actors in the automotive supply chain be extended in order to meet the requirements of European chemicals regulation; and where would it help to strengthen incentives in enforcement and the legal framework?“. The study’s structure is based on the tra

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Survey of health and social care setting food businesses on implementation of the FSA Listeriosis Guidance. Food Standards Agency, 2023. http://dx.doi.org/10.46756/sci.fsa.djg946.

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Food safety is a crucial component of protecting the wellbeing of those in the care of health and social care organisations. Incidents, such as the 2019 listeriosis outbreak associated with pre-packed sandwiches supplied to hospitals in England, from which seven patients died of listeriosis, underline the risk of the disease and the serious consequences that a breach in standards can have. Vulnerable consumers - whose immune systems are weakened in some way - are particularly susceptible to listeriosis and the disease has a high hospitalisation and fatality rate, compared to infections with ot

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