Parenting

Artificial intelligence and machine learning overview in pathology & laboratory medicine: A general review of data preprocessing and basic supervised concepts.

Machine learning (ML) is becoming an integral aspect of several domains in medicine. Yet, most pathologists and laboratory professionals remain unfamiliar with such tools and are unprepared for their inevitable integration. To bridge this knowledge gap, we present an overview of key elements within this emerging data science discipline. First, we will cover general, well-established concepts withi...

Alternative additives associated in the feeding of laying hens: performance, biometrics, bone traits, and economic evaluation-an unsupervised machine learning approach.

Given the current bans on the use of some growth promoting antibiotics in poultry nutrition, the need to use alternative additives which could replace traditional promoters in diets has arisen. The objective of this study was to evaluate the effect of alternative additives, associated or not, in replacing the antibiotic growth promoter in the diets of laying hens on performance, egg quality, biome...

Artificial Intelligence Analysis of Outdoor Sports Risk Self-Assessment on Insurance Psychology.

The development potential of China's medical insurance market is huge, and the research on medical insurance demand has always been the focus of acade...

Human-Computer Interaction with a Real-Time Speech Emotion Recognition with Ensembling Techniques 1D Convolution Neural Network and Attention.

Emotions have a crucial function in the mental existence of humans. They are vital for identifying a person's behaviour and mental condition. Speech E...

A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge.

Discovering a meaningful symbolic expression that explains experimental data is a fundamental challenge in many scientific fields. We present a novel,...

Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight.

Obesity and overweight has increased in the last year and has become a pandemic disease, the result of sedentary lifestyles and unhealthy diets rich i...

Implementing machine learning methods with complex survey data: Lessons learned on the impacts of accounting sampling weights in gradient boosting.

Despite the prominent use of complex survey data and the growing popularity of machine learning methods in epidemiologic research, few machine learnin...

Critical Assessment of Methods for Predicting the 3D Structure of Proteins and Protein Complexes.

Advances in a scientific discipline are often measured by small, incremental steps. In this review, we report on two intertwined disciplines in the pr...

Natural language processing and machine learning approaches for food categorization and nutrition quality prediction compared with traditional methods.

BACKGROUND: Food categorization and nutrient profiling are labor intensive, time consuming, and costly tasks, given the number of products and labels ...

Big data and artificial intelligence application in energy field: a bibliometric analysis.

This paper uses bibliometrics to characterize the knowledge systems of big data, artificial intelligence (AI), and energy based on the Science Citatio...

Light-Weight Deep Learning Techniques with Advanced Processing for Real-Time Hand Gesture Recognition.

In the discipline of hand gesture and dynamic sign language recognition, deep learning approaches with high computational complexity and a wide range ...

Detecting defense mechanisms from Adult Attachment Interview (AAI) transcripts using machine learning.

OBJECTIVE: Defensive functioning (i.e., unconscious process used to manage real or perceived threats) may play a role in the development of various ps...

A novel knowledge extraction method based on deep learning in fruit domain.

Knowledge extraction aims to identify entities and extract relations between them from unstructured text, which are in the form of triplets. Analysis ...

Prediction of Marathon Performance using Artificial Intelligence.

Although studies used machine learning algorithms to predict performances in sports activities, none, to the best of our knowledge, have used and vali...

Machine learning modeling practices to support the principles of AI and ethics in nutrition research.

BACKGROUND: Nutrition research is relying more on artificial intelligence and machine learning models to understand, diagnose, predict, and explain da...

Implementation of Nutrigenetics and Nutrigenomics Research and Training Activities for Developing Precision Nutrition Strategies in Malaysia.

Nutritional epidemiological studies show a triple burden of malnutrition with disparate prevalence across the coexisting ethnicities in Malaysia. To t...

Prediction of attachment efficiency using machine learning on a comprehensive database and its validation.

Colloidal particles can attach to surfaces during transport, but the attachment depends on particle size, hydrodynamics, solid and water chemistry, an...

Surgeon-anatomist to robotic technician? The evolving role of the surgeon over three centuries.

In the 18th century, anatomy was the principal science underlying surgical practice. Over the next three centuries, the scientific basis of surgery ch...

Design of large-span stick-slip freely switchable hydrogels via dynamic multiscale contact synergy.

Solid matter that can rapidly and reversibly switch between adhesive and non-adhesive states is desired in many technological domains including climbi...

Machine Learning Models for Data-Driven Prediction of Diabetes by Lifestyle Type.

The prevalence of diabetes has been increasing in recent years, and previous research has found that machine-learning models are good diabetes predict...