Latest AI and machine learning research in parenting for healthcare professionals.
Few studies have been conducted to classify and predict the influence of nutritional intake on overweight/obesity, dyslipidemia, hypertension and type 2 diabetes mellitus (T2DM) based on deep learning such as deep neural network (DNN). The present study aims to classify and predict associations between nutritional intake and risk of overweight/obesity, dyslipidemia, hypertension and T2DM by develo...
Learning styles are critical to educational psychology, especially when investigating various contextual factors that interact with individual learning styles. Drawing upon Biglan's taxonomy of academic tribes, this study systematically analyzed the learning styles of 790 sophomores in a blended learning course with 46 specializations using a novel machine learning algorithm called the support vec...
The exponential increase in our ability to harness multi-dimensional biological and clinical data from experimental to real-world settings has transfo...
In a time of rapid advances in science and technology, the opportunities for radiation oncology are undergoing transformational change. The linkage be...
As we experience a technological revolution unlike any other time in history, spinal surgery as a discipline is poised to undergo a dramatic transform...
Self-tracking can help personalize self-management interventions for chronic conditions like type 2 diabetes (T2D), but reflecting on personal data re...
Artificial intelligence, or the discipline of developing computational algorithms able to perform tasks that requires human intelligence, offers the o...
Using real-world data from the Academy of Nutrition and Dietetics Health Informatics Infrastructure, we use state-of-the-art clustering techniques to ...
Precision Nutrition research aims to use personal information about individuals or groups of individuals to deliver nutritional advice that, theoretic...
Fin kinematics is the key to thrust generation of oscillatory pectoral fins of manta rays. This could be one of the main reasons that fin designs of r...
Artificial intelligence (AI) is defined as the ability of machines to perform tasks that are usually associated with intelligent beings. Argument and ...
BACKGROUND: Annual influenza vaccination is an important public health measure to prevent influenza infections and is strongly recommended for cardiov...
In this paper, we discuss the use of natural language processing and artificial intelligence to analyze nutritional and sustainability aspects of reci...
Measurement of interaction forces distributed across the attachment interface in wearable devices is critical for understanding ergonomic physical hum...
Machine learning and deep learning frameworks have been presented as a substitute for lengthy computational analysis, such as finite element analysis,...
Severe Acute Respiratory Syndrome Corona Virus 2 has altered life on a global scale. A concerted effort from research labs around the world resulted i...
Hip-hop competitions are performed across the world. In the recent inclusion in the 2018 Youth Olympic Games, the assessment of hip-hop performance is...
This year less than 200 National Library of Medicine indexers expect to index 1 million articles, and this would not be possible without the assistanc...
Previous research has studied medical professionals' perception of artificial intelligence (AI). However, there has been a limited understanding of ho...
Robotic agents will be life-long companions of humans in the foreseeable future. To achieve such successful relationships, people will likely attribut...