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Parenting

Latest AI and machine learning research in parenting for healthcare professionals.

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Fundamentals in Artificial Intelligence for Vascular Surgeons.

Artificial intelligence (AI) corresponds to a broad discipline that aims to design systems, which di...

Nutrient Estimation from 24-Hour Food Recalls Using Machine Learning and Database Mapping: A Case Study with Lactose.

The Automated Self-Administered 24-Hour Dietary Assessment Tool (ASA24) is a free dietary recall sys...

Nutritional and technological properties of a quinoa (Chenopodium quinoa Willd.) spray-dried powdered extract.

The relevance of an appropriate nutrition requires innovation in the design of food ingredients. The...

Removal of Pb (II) from aqueous solution using nanoadsorbent of husk: Isotherm, kinetic and thermodynamic studies.

This research focus on the removal of Pb (II) ions from aqueous solution by adsorption process using...

Cell Line Classification Using Electric Cell-Substrate Impedance Sensing (ECIS).

We present new methods for cell line classification using multivariate time series bioimpedance data...

Radical systems thinking and the future role of computational modelling in ergonomics: an exploration of agent-based modelling.

We are teetering on the precipice of the imminent Fourth Industrial Revolution. In this new age, sys...

Machine learning with sparse nutrition data to improve cardiovascular mortality risk prediction in the USA using nationally randomly sampled data.

OBJECTIVES: We aimed to test whether or not adding (1) nutrition predictor variables and/or (2) usin...

Admiring the Great Mountain: A Celebration Special Issue in Honor of Stephen Grossberg's 80th Birthday.

This editorial summarizes selected key contributions of Prof. Stephen Grossberg and describes the pa...

nanite: using machine learning to assess the quality of atomic force microscopy-enabled nano-indentation data.

BACKGROUND: Atomic force microscopy (AFM) allows the mechanical characterization of single cells and...

Dietary reference values for sodium.

Following a request from the European Commission, the EFSA Panel on Nutrition, Novel Foods and Food ...

Safety of viable embryonated eggs of the whipworm as a novel food pursuant to Regulation (EU) 2015/2283.

Following a request from the European Commission, the EFSA Panel on Nutrition, Novel Foods and Food ...

Artificial Intelligence in Reproductive Urology.

PURPOSE OF REVIEW: The promise of artificial intelligence (AI) in medicine has been widely theorized...

Comparisons among Machine Learning Models for the Prediction of Hypercholestrolemia Associated with Exposure to Lead, Mercury, and Cadmium.

Lead, mercury, and cadmium are common environmental pollutants in industrialized countries, but thei...

Phenotyping Women Based on Dietary Macronutrients, Physical Activity, and Body Weight Using Machine Learning Tools.

Nutritional phenotyping can help achieve personalized nutrition, and machine learning tools may offe...

Deep learning driven QSAR model for environmental toxicology: Effects of endocrine disrupting chemicals on human health.

Over 80,000 endocrine-disrupting chemicals (EDCs) are considered emerging contaminants (ECs), which ...

Identifying depression in the National Health and Nutrition Examination Survey data using a deep learning algorithm.

BACKGROUND: As depression is the leading cause of disability worldwide, large-scale surveys have bee...

HyperFoods: Machine intelligent mapping of cancer-beating molecules in foods.

Recent data indicate that up-to 30-40% of cancers can be prevented by dietary and lifestyle measures...

An Ontology to Standardize Research Output of Nutritional Epidemiology: From Paper-Based Standards to Linked Content.

BACKGROUND: The use of linked data in the Semantic Web is a promising approach to add value to nutri...

Non-Invasive Sensing of Nitrogen in Plant Using Digital Images and Machine Learning for ssp. L.

Monitoring plant nitrogen (N) in a timely way and accurately is critical for precision fertilization...

Diagnosis of Human Psychological Disorders using Supervised Learning and Nature-Inspired Computing Techniques: A Meta-Analysis.

A psychological disorder is a mutilation state of the body that intervenes the imperative functionin...

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