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Parenting

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From Reflection to Action: Combining Machine Learning with Expert Knowledge for Nutrition Goal Recommendations.

Self-tracking can help personalize self-management interventions for chronic conditions like type 2 ...

Artificial Intelligence in Bulk and Single-Cell RNA-Sequencing Data to Foster Precision Oncology.

Artificial intelligence, or the discipline of developing computational algorithms able to perform ta...

Applying Contemporary Machine Learning Approaches to Nutrition Care Real-World Evidence: Findings From the National Quality Improvement Data Set.

Using real-world data from the Academy of Nutrition and Dietetics Health Informatics Infrastructure,...

Precision nutrition: A systematic literature review.

Precision Nutrition research aims to use personal information about individuals or groups of individ...

Effects of root chord movement on thrust generation of oscillatory pectoral fins.

Fin kinematics is the key to thrust generation of oscillatory pectoral fins of manta rays. This coul...

An autonomous debating system.

Artificial intelligence (AI) is defined as the ability of machines to perform tasks that are usually...

Machine learning models to identify low adherence to influenza vaccination among Korean adults with cardiovascular disease.

BACKGROUND: Annual influenza vaccination is an important public health measure to prevent influenza ...

Using Natural Language Processing and Artificial Intelligence to Explore the Nutrition and Sustainability of Recipes and Food.

In this paper, we discuss the use of natural language processing and artificial intelligence to anal...

A Modular Design for Distributed Measurement of Human-Robot Interaction Forces in Wearable Devices.

Measurement of interaction forces distributed across the attachment interface in wearable devices is...

Judges' evaluation reliability changes between identifiable and anonymous performance of hip-hop dance movements.

Hip-hop competitions are performed across the world. In the recent inclusion in the 2018 Youth Olymp...

Analyzing Description, User Understanding and Expectations of AI in Mobile Health Applications.

Previous research has studied medical professionals' perception of artificial intelligence (AI). How...

Automatic MeSH Indexing: Revisiting the Subheading Attachment Problem.

This year less than 200 National Library of Medicine indexers expect to index 1 million articles, an...

Human-dog relationships as a working framework for exploring human-robot attachment: a multidisciplinary review.

Robotic agents will be life-long companions of humans in the foreseeable future. To achieve such suc...

AI for Improving Children's Health: A Community Case Study.

The Indian health care system lacks the infrastructure to meet the health care demands of the countr...

Network machine learning maps phytochemically rich "Hyperfoods" to fight COVID-19.

In this paper, we introduce a network machine learning method to identify potential bioactive anti-C...

Multi-objective optimization methods in novel drug design.

: In multi-objective drug design, optimization gains importance, being upgraded to a discipline that...

A Study of Multi-Task and Region-Wise Deep Learning for Food Ingredient Recognition.

Food recognition has captured numerous research attention for its importance for health-related appl...

Human-Robot Interaction and Sexbots: A Systematic Literature Review.

At present, sexual robots have become a new paradigm of social robots. In this paper, we developed a...

Paradigm Shift Toward Digital Neuropsychology and High-Dimensional Neuropsychological Assessments: Review.

Neuropsychologists in the digital age have increasing access to emerging technologies. The National ...

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