Implementation and Adoption of AI Tools in Nutrition Education
Expert-defined terms from the Executive Certificate in AI Applications in Nutrition Education. course at London School of International Business. Free to read, free to share, paired with a globally recognised certification pathway.
Artificial Intelligence (AI) #
The simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using the rules to reach approximate or definite conclusions), and self-correction.
Big Data #
Extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions.
Chatbot #
A computer program designed to simulate conversation with human users, especially over the Internet.
Computer Vision #
A field of AI that trains computers to interpret and understand the visual world.
Deep Learning #
A subset of machine learning based on artificial neural networks with representation learning.
Dietary Assessment #
The measurement of food and nutrient intake in individuals or groups with respect to current recommendations and scientific knowledge.
Dietary Patterns #
The quantities, proportions, variety or combinations of different foods and beverages in diets, and the frequency with which they are habitually consumed.
E #
Learning: The use of electronic media and information and communication technologies (ICT) in education.
Explainable AI (XAI) #
The branch of AI that aims to create a suite of machine learning techniques that produce more explainable models while maintaining a high level of learning performance.
Food Environment #
The physical, economic, policy and sociocultural surroundings, opportunities and conditions that influence people's food and beverage choices and dietary behaviors.
Food Insecurity #
The state of being without reliable access to a sufficient quantity of affordable, nutritious food.
Gamification #
The application of game-design elements and game principles in non-game contexts.
Genomic Epidemiology #
The use of genomic data to understand the epidemiology of diseases and health-related traits.
Health Disparities #
Preventable differences in the burden of disease, injury, violence, or opportunities to achieve optimal health that are experienced by socially disadvantaged populations.
Health Education #
Any combination of learning experiences designed to help individuals and communities improve their health, by increasing their knowledge or influencing their attitudes.
Internet of Things (IoT) #
The network of physical devices, vehicles, buildings, and other items embedded with electronics, software, sensors, and network connectivity that enable these objects to collect and exchange data.
Machine Learning (ML) #
A subset of AI that involves the use of statistical techniques to enable machines to improve with experience in performing a task.
Mhealth #
The use of mobile devices in medical and public health practice and research.
Natural Language Processing (NLP) #
A field of AI that focuses on the interaction between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data.
Nutrigenomics #
The study of the effects of foods and food constituents on gene expression.
Nutrition Education #
Any combination of learning experiences designed to help individuals and communities improve their nutrition and health.
Precision Nutrition #
An approach to nutrition that takes into account individual variability in genes, environment, and lifestyle for the purpose of delivering more personalized dietary advice.
Predictive Analytics #
The use of data, statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data.
Recommender Systems #
Information filtering systems that seek to predict the "rating" or "preference" a user would give to an item.
Sentiment Analysis #
The use of natural language processing, text analysis, and computational linguistics to identify and extract subjective information from source materials.
Supervised Learning #
A type of machine learning in which the model is trained on a labeled dataset.
Telehealth #
The use of digital information and communication technologies to access health care services remotely and manage your health.
Unsupervised Learning #
A type of machine learning in which the model learns from an unlabeled dataset.
Virtual Reality (VR) #
A simulated experience that can be similar to or completely different from the real world.
Wearable Technology #
Electronic devices that can be worn on the body, typically as accessories or implants.