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

Factors Affecting Renal Clearance: Renal Impairment01:17

Factors Affecting Renal Clearance: Renal Impairment

91
Renal dysfunction significantly impairs the renal clearance of drugs, leading to potential complications in drug therapy. Renal failure, which can be caused by various factors, poses a significant challenge in the elimination of drugs from the body.
One condition associated with renal failure is uremia. Uremia is characterized by impaired glomerular filtration and fluid accumulation in the body. This condition hinders the renal clearance of drugs, resulting in drug accumulation and potential...
91
Dialysis01:27

Dialysis

309
Renal failure occurs when the kidneys lose their ability to filter waste products from the blood effectively. It can be classified into two types: acute renal failure (ARF) and chronic renal failure (CRF).
Acute kidney injury develops suddenly and can be caused by pre-renal causes (e.g., hypovolemia, shock), intrinsic renal causes (e.g., acute tubular necrosis), or post-renal causes (e.g., urinary obstruction). In contrast, chronic renal failure progresses gradually over time and is often...
309
Internal Anatomy of the Kidney01:12

Internal Anatomy of the Kidney

1.6K
The kidneys are essential organs in the human body, performing a myriad of tasks that maintain homeostasis and overall health.
Anatomical Position and Dimensions
The kidneys are retroperitoneal organs positioned against the posterior abdominal wall on either side of the spine, roughly between the twelfth thoracic and third lumbar vertebrae. Each kidney is typically 10-12 cm long, 5-6 cm wide, and 3-4 cm thick, weighing about 150 grams.
Renal Cortex
The outermost region of the kidney is the...
1.6K

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

An efficient and interpretable intrusion detection framework for software-defined networks with multi-class imbalanced data using genetic and GAN-based optimization.

Scientific reports·2026
Same author

Prevalence and severity of premenstrual tension syndrome and its impact on academic performance among female university students in Bangladesh: a cross-sectional study.

BMC public health·2026
Same author

Spectroscopic, Thermal and Mass Spectrometry Investigations of Mechanochemically Synthesized Deep Eutectic Solvents.

New journal of chemistry = Nouveau journal de chimie·2026
Same author

Ameliorative Effects of Nypa fruticans Leaf Extract on Anxiety and Depression: Evidence From In Vivo and In Silico Studies.

BioMed research international·2026
Same author

E-Patient Quality Improvement and Standardisation (EQIS) platform for improving maternal and paediatric clinical care in Bangladesh: study protocol for a prospective open cohort study.

BMJ open·2026
Same author

Draft genomic sequence of <i>Enterobacter hormaechei</i> ML02 isolated from mangrove-associated rhizosphere soil in Bangladesh.

Microbiology resource announcements·2026

相关实验视频

Updated: Jun 30, 2025

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
07:13

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

4.3K

ML-CKDP:基于机器学习的慢性病预测,使用智能网络应用程序.

Rajib Kumar Halder1, Mohammed Nasir Uddin1, Md Ashraf Uddin2

  • 1Dept. of Computer Science and Engineering, Jagannath University, Dhaka 1100, Bangladesh.

Journal of pathology informatics
|March 21, 2024
PubMed
概括

机器学习使用先进的预处理和特征选择准确预测慢性病 (CKD). 开发的模型实现了100%的准确性,并提供实时预测的网络应用程序.

关键词:
慢性脏疾病 慢性脏疾病分类 分类 分类 分类.功能选择 功能选择机器学习 机器学习

更多相关视频

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
09:00

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

4.5K
Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis
09:16

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis

Published on: June 18, 2020

6.9K

相关实验视频

Last Updated: Jun 30, 2025

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
07:13

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

4.3K
TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
09:00

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

4.5K
Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis
09:16

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis

Published on: June 18, 2020

6.9K

科学领域:

  • 科和医疗信息学
  • 人工智能在医疗保健中的应用
  • 数据科学用于疾病预测和预测.

背景情况:

  • 慢性病 (CKD) 对健康构成重大风险,需要早期诊断才能有效管理.
  • 机器学习 (ML) 为提高医疗保健中的预测诊断提供了强大的工具.
  • 目前的诊断方法可以通过先进的计算方法来改进.

研究的目的:

  • 开发一种基于机器学习的病预测模型 (ML-CKDP).
  • 优化数据集预处理以改善CKD分类.
  • 为实时CKD预测创建一个用户友好的,基于Web的应用程序.

主要方法:

  • 实施了一个全面的预处理协议,包括数据归算和Min-Max缩放.
  • 使用多种特征选择技术 (例如,相关性,千方形,RFE,拉索,).
  • 使用精度,混矩阵和AUC指标评估了七个分类器 (RF,AdaB,GB,XgB,NB,SVM,DT).

主要成果:

  • 随机森林 (RF) 和AdaBoost (AdaB) 在各种验证分割 (70:30,80:20,K-Fold 10/15) 中实现了100%的准确性和AUC.
  • 天真贝斯 (NB) 在培训和测试时间最短的情况下表现出卓越的效率.
  • 成功部署了一个基于Web的功能应用程序,用于实时预测CKD.

结论:

  • ML-CKDP模型,特别是RF和AdaB,在预测CKD方面表现出了卓越的表现.
  • 特性选择和强大的预处理对于预测模型的高精度至关重要.
  • 开发的Web应用程序提高了ML驱动的CKD诊断的可访问性和实际实用性.