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Background: People's health depends on the use of proper diet as an important factor. Today, with the increasing mechanization of people's lives, proper eating habits and behaviors are neglected. On the other hand, food recommendations in…

Information Retrieval · Computer Science 2023-06-30 Abolfazl Ajami , Babak Teimourpour

The nutritional quality of diets has significantly deteriorated over the past two to three decades, a decline often underestimated by the people. This deterioration, coupled with a hectic lifestyle, has contributed to escalating health…

Computer Vision and Pattern Recognition · Computer Science 2024-03-05 Assylzhan Izbassar , Pakizar Shamoi

Malnutrition poses a significant threat to global health, resulting from an inadequate intake of essential nutrients that adversely impacts vital organs and overall bodily functioning. Periodic examinations and mass screenings,…

Computer Vision and Pattern Recognition · Computer Science 2023-08-01 Ashish Marisetty , Prathistith Raj M , Praneeth Nemani , Venkanna Udutalapally , Debanjan Das

Obesity, the leading cause of many non-communicable diseases, occurs mainly for eating more than our body requirements and lack of proper activity. So, being healthy requires heathy diet plans, especially for patients with comorbidities.…

Machine Learning · Computer Science 2023-08-08 Mrinmoy Roy , Srabonti Das , Anica Tasnim Protity

Food-choices and eating-habits directly contribute to our long-term health. This makes the food recommender system a potential tool to address the global crisis of obesity and malnutrition. Over the past decade, artificial-intelligence and…

Human-Computer Interaction · Computer Science 2021-10-15 Mansura A Khan , Khalil Muhammad , Barry Smyth , David Coyle

Soil macronutrients, particularly potassium ions (K$^+$), are indispensable for plant health, underpinning various physiological and biological processes, and facilitating the management of both biotic and abiotic stresses. Deficient…

Machine Learning · Computer Science 2025-04-08 Mridul Kumar , Deepali Jain , Zeeshan Saifi , Soami Daya Krishnananda

Purpose: Health recommenders act as important decision support systems, aiding patients and medical professionals in taking actions that lead to patients' well-being. These systems extract the information which may be of particular…

Machine Learning · Computer Science 2024-07-02 Abhishek Dey , Debayan Goswami , Rahul Roy , Susmita Ghosh , Yu Shrike Zhang , Jonathan H. Chan

Determination of dietary food consumed a day for patients with diseases in general, greatly affect the health of the body and the healing process, is no exception for people with kidney disease and urinary tract. This paper presents the…

Artificial Intelligence · Computer Science 2013-06-26 Sri Hartati , Shofwatul 'Uyun

Health Monitoring and Management System (HMMS) is an emerging technology for decades. Researchers are working on this field to track health conditions for different users. Researchers emphasize tracking health conditions from an early stage…

Human-Computer Interaction · Computer Science 2020-10-27 Mohammad Ali

Addressing the health challenges faced by the aging population, particularly undernutrition, is of paramount importance, given the significant representation of older individuals in society. Undernutrition arises from a disbalance between…

Quantitative Methods · Quantitative Biology 2023-12-22 Abderrahim Derouiche , Ghazi Bouaziz , Damien Brulin , Eric Campo , Antoine Piau

Lactate threshold is considered an essential parameter when assessing performance of elite and recreational runners and prescribing training intensities in endurance sports. However, the measurement of blood lactate concentration requires…

Machine Learning · Statistics 2018-03-20 Urtats Etxegarai , Eva Portillo , Jon Irazusta , Ander Arriandiaga , Itziar Cabanes

Proactive monitoring of one's health could avoid serious diseases as well as better maintain the individual's well-being. In today's IoT world, there has been numerous wearable technological devices to monitor/measure different health…

Computers and Society · Computer Science 2016-12-05 Shubhi Asthana , Ray Strong , Aly Megahed

A growing proportion of the global population is becoming overweight or obese, leading to various diseases (e.g., diabetes, ischemic heart disease and even cancer) due to unhealthy eating patterns, such as increased intake of food with high…

Computers and Society · Computer Science 2019-11-20 Weiqing Min , Shuqiang Jiang , Ramesh Jain

Obesity is a critical global health issue driven by dietary, physiological, and environmental factors, and is strongly associated with chronic diseases such as diabetes, cardiovascular disorders, and cancer. Machine learning has emerged as…

Machine Learning · Computer Science 2026-05-11 Towhidul Islam , Md Sumon Ali

Accurate estimation of meal macronutrient composition is a pre-perquisite for precision nutrition, metabolic health monitoring, and glycemic management. Traditional dietary assessment methods, such as self-reported food logs or diet recalls…

Design of recommender systems aimed at achieving high prediction accuracy is a widely researched area. However, several studies have suggested the need for diversified recommendations, with acceptable level of accuracy, to avoid monotony…

Information Retrieval · Computer Science 2020-01-14 Anupriya Gogna , Angshul Majumdar

Nutrients are critical to the functioning of the human body and their imbalance can result in detrimental health concerns. The majority of nutritional literature focuses on macronutrients, often ignoring the more critical nuances of…

Quantitative Methods · Quantitative Biology 2025-06-11 Andrew Balch , Maria A. Cardei , Sibylle Kranz , Afsaneh Doryab

Blood cultures are often over ordered without clear justification, straining healthcare resources and contributing to inappropriate antibiotic use pressures worsened by the global shortage. In study of 135483 emergency department (ED) blood…

Laboratory tests play a major role in clinical decision making because they are essential for the confirmation of diagnostics suspicions and influence medical decisions. The number of different laboratory tests available to physicians in…

Machine Learning · Computer Science 2021-05-05 Fabián Villena

Reliable prediction of pediatric obesity can offer a valuable resource to providers, helping them engage in timely preventive interventions before the disease is established. Many efforts have been made to develop ML-based predictive models…

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