Artificial intelligence in nutrients science research: a review

J Sak, M Suchodolska - Nutrients, 2021 - mdpi.com
Artificial intelligence (AI) as a branch of computer science, the purpose of which is to imitate
thought processes, learning abilities and knowledge management, finds more and more …

Sample entropy analysis of EEG signals via artificial neural networks to model patients' consciousness level based on anesthesiologists experience

GJA Jiang, SZ Fan, MF Abbod… - BioMed research …, 2015 - Wiley Online Library
Electroencephalogram (EEG) signals, as it can express the human brain's activities and
reflect awareness, have been widely used in many research and medical equipment to build …

Ensemble artificial neural networks applied to predict the key risk factors of hip bone fracture for elders

Q Liu, X Cui, YC Chou, MF Abbod, J Lin… - … Signal Processing and …, 2015 - Elsevier
Hip bone fracture is one of the most important causes of morbidity and mortality in the elder
adults. It is necessary to establish a prediction model to provide suggestions for elders. A …

Machine learning accurately predicts food exchange list and the exchangeable portion

DJ Hernández-Hernández, AB Perez-Lizaur… - Frontiers in …, 2023 - frontiersin.org
Introduction Food Exchange Lists (FELs) are a user-friendly tool developed to help
individuals aid healthy eating habits and follow a specific diet plan. Given the rapidly …

基于BP 人工神经网络模型构建电子病历系统的数据分析

王欣萍, 孙昕, 孙尧 - 中国组织工程研究, 2011 - cjter.com
背景: 电子病历中包含大量能够辅助临床诊断和决策的医疗信息. 目的: 利用BP
人工神经网络进行电子病历的数据挖掘. 方法: 针对BP 人工神经网络的原理及算法进行了分析 …

Virtual Digital Twins: A Renaissance in Precision Nutrition Approach

ACTA Dhanapal, S Subapriya… - Integrating AI in IoT …, 2022 - igi-global.com
Healthy ageing and disease prevention depends on nutritional and lifestyle changes.
Available evidence accentuates the influence of genetic, metabolic, and host gut microbiota …

Ensembled neural networks applied to modeling survival rate for the patients with out-of-hospital cardiac arrest

YJ Jiang, MHM Ma, WZ Sun, KW Chang… - Artificial Life and …, 2012 - Springer
The purpose of this study is to use ensembled neural networks (ENN) to model survival rate
for the patients with out-of-hospital cardiac arrest (OHCA). We also use seven different …

BP 神经网络的医学数据挖掘

施俊华, 叶保留, 李朝品 - 计算机与现代化, 2013 - cam.org.cn
随着电子病历系统等一些临床信息系统的广泛使用, 如何从医院的病历数据库中挖掘出更有价值
的医学信息已成为当今一个研究热点. 针对面向电子病历的医学数据挖掘 …

Diffuse large B-cell lymphoma classification using linguistic analysis and ensembled artificial neural networks

X Cui, CW Lin, MF Abbod, Q Liu, JS Shieh - Journal of the Taiwan Institute …, 2012 - Elsevier
The purpose of this study is to apply non-medical methods to classify two types of diffuse
large B-cell lymphoma (DLBCL), which are the germinal-center type (GCB) and the activated …

Using artificial neural network to predict a variety of pathogenic microorganisms

YH Liao, YN Yu, M Abbod, CH Shih, JS Shieh - 2020 - bura.brunel.ac.uk
In this study, an electronic nose is used to record breathing data from healthy patients and
pneumonia patients. The electronic nose records resistance data using a micro-array of 11 …