Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Drug Toxicity: Risk factors01:24

Drug Toxicity: Risk factors

Adverse Drug Reactions (ADRs) are potential complications that arise during pharmacotherapy, influenced by multiple risk factors. Age plays a significant role; both neonates and the elderly are at heightened risk due to their respective immature and diminished metabolic and elimination processes. Gender also impacts ADRs, with females experiencing a 1.5 to 1.7-fold greater risk than males, which may be linked to pharmacokinetic, pharmacodynamic, and hormonal differences. Notably, neonates, the...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Berberine attenuates hyperglycemia induced neurodegeneration in mice by modulation of Nrf2 expression.

Molecular biology reports·2026
Same author

Heavy metal burden and metallothionein-2A expression in relation to severity and short-term outcome in primary osteosarcoma: A longitudinal cohort study.

Journal of clinical orthopaedics and trauma·2026
Same author

Role of Vitamin-E as a Vital Nutrient in Health and Diseases.

Indian journal of clinical biochemistry : IJCB·2026
Same author

Assessment of Circulating Cell Free DNA Methylation Biomarker of Panel of Selected Genes for Lung Cancer Detection.

Indian journal of clinical biochemistry : IJCB·2026
Same author

Feasibility and Acceptability of AI-Powered Tools for Early Autism Screening in Egypt: Semistructured Focus Group Study.

Journal of medical Internet research·2026
Same author

Maintenance of oral hygiene with beetroot rinse in gingivitis patients with oral lichen planus: A pilot randomized controlled trial.

Journal of Indian Society of Periodontology·2026
Same journal

SPSGL: uncovering psychiatric network mechanisms via structural-prior guided synaptic graph learning.

Health information science and systems·2026
Same journal

A noval 4D graph temporal brain network model for EEG-based depression detection.

Health information science and systems·2026
Same journal

PLETHSOMNet: automated identification of insomnia using deep neural network technique with photoplethysmography (PPG) signals.

Health information science and systems·2026
Same journal

Self-supervised fusion of clinical expertise and interpersonal skills for enhanced physician recommendation.

Health information science and systems·2026
Same journal

Construction and application of a traditional Chinese medicine syndrome differentiation and treatment model grounded in knowledge distillation and reinforcement learning.

Health information science and systems·2026
Same journal

An ECG early prediction algorithm integrating autonomic imbalance and repolarization energospectral shift.

Health information science and systems·2026
查看所有相关文章

相关实验视频

Updated: Jul 2, 2026

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
00:05

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox

Published on: August 28, 2019

14.0K

使用计算建模框架进行自动化毒性预测.

Priyanka Chaurasia1, Sally I McClean2, Abbas Ali Mahdi3

  • 1School of Computing, Engineering & Intelligent Systems, Ulster University, Derry, Londonderry, BT487JL UK.

Health information science and systems
|November 29, 2023
PubMed
概括
此摘要是机器生成的。

这项研究开发了一种计算模型,使用社会人口统计数据预测母亲血液中的含量,以帮助早期检测和预防婴儿的暴露. 该模型为医疗保健提供者提供了一个具有成本效益的查工具.

关键词:
博鲁塔的算法 博鲁塔的算法数据分析数据分析.毒性 的毒性 的毒性机器学习 机器学习孕产妇暴露于的情况预测建模的预测模型.社会人口统计学.

更多相关视频

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
16:02

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation

Published on: February 10, 2023

2.7K
Author Spotlight: High-Throughput Toxicity Screening Using Zebrafish Embryo Startle Response Assay
06:25

Author Spotlight: High-Throughput Toxicity Screening Using Zebrafish Embryo Startle Response Assay

Published on: January 12, 2024

1.5K

相关实验视频

Last Updated: Jul 2, 2026

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
00:05

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox

Published on: August 28, 2019

14.0K
Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
16:02

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation

Published on: February 10, 2023

2.7K
Author Spotlight: High-Throughput Toxicity Screening Using Zebrafish Embryo Startle Response Assay
06:25

Author Spotlight: High-Throughput Toxicity Screening Using Zebrafish Embryo Startle Response Assay

Published on: January 12, 2024

1.5K

科学领域:

  • 环境健康 环境健康
  • 计算毒理学计算毒理学
  • 母婴健康 母婴健康

背景情况:

  • 暴露对全球健康造成重大负担,特别是在发展中国家.
  • 孕产妇血液中含量 (BLL) 是胎儿暴露的主要途径.
  • 目前的BLL监测是昂贵的,耗时的,无法获得的,需要使用替代选方法.

研究的目的:

  • 利用社会人口统计学特征开发一种计算模型,用于预测母亲血液中的含量.
  • 建立一个具有成本效益和可访问的查工具来检测孕妇的毒性.
  • 确定影响母亲暴露的关键社会人口统计因素.

主要方法:

  • 一个计算模型框架被设计用于预测毒性.
  • 收集和分析了母亲数据,包括社会人口统计学特征和血液样本.
  • 使用机器学习算法 (kNN,DT,NN),使用Boruta算法进行特征选择.

主要成果:

  • 由Boruta算法识别的12个特征集产生了最佳的预测结果.
  • 开发的模型证明了预测准确度,kNN达到76.84%,DT达到74.70%,NN达到73.99%.
  • 该模型有效地利用基于问卷的社会人口统计信息进行初始领导水平评估.

结论:

  • 预测模型可以提高护理点诊断,降低与毒性相关的成本和风险.
  • 该方法有可能被纳入孕妇的常规查过程中.
  • 早期识别和干预可以减轻母亲的暴露,从而减少胎儿和婴儿的负担.