Sort by
Keyphrases
Personalized Health
100%
Food Recognition
100%
Health Promotion
100%
Nutrition Promotion
100%
Artificial Intelligence Applications
100%
Personalized nutrition
100%
Central Asia
100%
Kazakhstan
100%
Recognition Model
54%
Asian Food
54%
Artificial Intelligence
54%
Food Items
45%
Healthcare Professionals
36%
Dietary Assessment
27%
Food Dataset
27%
Computer Vision
27%
Dietary Habits
27%
Smartphone Application
18%
Food Image Recognition
18%
National Dish
18%
Food Classification
18%
Food Groups
18%
Food Image
18%
Food Categories
18%
General Public
18%
Object Recognition
18%
Non-communicable Diseases
18%
Cardiometabolic Risk
18%
Salad
9%
Public Health Policy
9%
Specific Patient
9%
Food Diary
9%
Improved nutrition
9%
Typical Food
9%
Food Quantity
9%
Accuracy Rate
9%
Transfer Learning
9%
Farm-to-fork
9%
Recognize Objects
9%
Image Orientation
9%
Computer Vision Techniques
9%
Data Augmentation
9%
Human Annotator
9%
Health Policy
9%
Product Characteristics
9%
Neural Network Architecture
9%
Dietary nutrition
9%
Neural Network Model
9%
Nutrient Intake
9%
Artificial Data
9%
Related Risk Factors
9%
Image Capturing
9%
Supporting Patients
9%
High Burden
9%
Western Food
9%
Cooking Methods
9%
Health Surveillance
9%
Dietary Patterns
9%
Computer Vision Applications
9%
Recognition Domain
9%
Problem Recognition
9%
Experiences of Healthcare Professionals
9%
Nutrition Enhancement
9%
Concealment
9%
Photo Quality
9%
Dietitian
9%
Dietary Intake
9%
Cultural Diversity
9%
Dietary Food
9%
Classification Model
9%
Dietary Recommendations
9%
Visually Impaired
9%
Additional Food
9%
Food Identification
9%
Single Image
9%
Class Ambiguity
9%
Dietary Management
9%
Identification Analysis
9%
Patient Care
9%
Lack of Transparency
9%
Scene Recognition
9%
Kebab
9%
Food Intake
9%
Premature Mortality
9%
Regional Food
9%
Soup
9%
Food Preferences
9%
Food Sharing
9%
Similar Items
9%
Cuisine
9%
Intelligence Science
9%
Intake Estimation
9%
Classification Methods
9%
Human Capabilities
9%
Multi-label Classification
9%
Art Objects
9%
Central Asia Region
9%
Image Classification
9%
ResNet-152
9%
Lifestyle Factors
9%
Food Literacy
9%
Memory Bias
9%
Food Localization
9%
Deep Learning Methods
9%
Cardiovascular Disease
9%
Caregivers
9%
Evidence-based
9%
Data Science
9%
Socio-economic Development
9%
Preparation Method
9%
Cancer Types
9%
Decision-making Process
9%
Sustainable Development Goals
9%
Food Products
9%
Social Media
9%
Smartphone
9%
Potential Gains
9%
Classification Task
9%
Policy Development
9%
Faculty Development
9%
Food Industry
9%
Artificial Intelligence Techniques
9%
Diabetes
9%
Grant Program
9%
Diet Analysis
9%
Food Image Classification
9%
Personalized Dietary Advice
9%
Habit Preference
9%
Adverse Health Outcomes
9%
Absence of Evidence
9%
Comprehensive Dataset
9%
INIS
nutrition
100%
applications
100%
datasets
100%
food
100%
asia
100%
artificial intelligence
100%
kazakhstan
100%
images
25%
classification
17%
vision
8%
computers
8%
intake
6%
assessments
6%
humans
6%
risks
6%