Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Regulation of Stroke Volume

Regulation of Stroke Volume

The regulation of stroke volume, which is the amount of blood the heart pumps out during each heartbeat, is critical for maintaining a healthy circulatory system. Stroke volume is influenced by three main factors: preload, contractility, and afterload.
Preload refers to the degree of stretch on the heart before it contracts. It's analogous to the stretching of a rubber band; the more it's stretched, the more forcefully it snaps back. This concept is encapsulated in the Frank-Starling law of the...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Clinical development of tacrolimus-resistant regulatory T cells to enable simultaneous immunosuppression and immune regulation.

Molecular therapy. Advances·2026

Same author

The effects of Mixodin supplementation on migraine headache characteristics, oxidative stress and inflammatory biomarkers in patients with migraine: a double-blind, placebo-controlled, randomized trial.

Nutrition journal·2026

Same author

Association Between Total, Animal, and Plant Protein Intake and Risk of Depression in Adults: A Systematic Review and Dose-Response Meta-Analysis of Observational Studies.

Nutrition reviews·2026

Same author

Effects of grape seed extract supplementation on inflammatory biomarkers, oxidative stress, clinical symptoms, and quality of life in patients with migraine: A double-blinded randomized placebo-controlled clinical trial.

Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences·2026

Same author

The effect of alpha-lipoic acid supplementation on vascular function and inflammation in patients newly experienced stroke.

Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences·2026

Same author

The effect of saffron supplementation on indices of oxidative stress, inflammation, mental health, and quality of life in patients with Parkinson's disease: a randomized, triple-blind, placebo-controlled clinical trial.

Food & function·2025

Search research articles

Related Experiment Video

Updated: May 10, 2026

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

Prediction and control of stroke by data mining.

Leila Amini¹, Reza Azarpazhouh, Mohammad Taghi Farzadfar

¹Department of Computer Engineering and Information Technology, Payam Noor University, Tehran, Iran.

International Journal of Preventive Medicine

|June 19, 2013

Summary

This study utilized data mining techniques to predict stroke incidence. The C4.5 decision tree and K-nearest neighbor algorithms achieved high accuracy in identifying individuals at risk for stroke.

Keywords:

Data mining K-nearest neighbor decision tree prediction stroke

More Related Videos

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

Related Experiment Videos

Last Updated: May 10, 2026

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

Area of Science:

Medical Informatics
Data Mining in Healthcare
Predictive Analytics

Background:

Vast amounts of medical data are available for disease research.
Physicians can gain insights into diseases and treatments by analyzing this data.
Predicting stroke incidence is crucial for public health.

Purpose of the Study:

To predict stroke incidence using data mining techniques.
To evaluate the effectiveness of machine learning algorithms for stroke prediction.

Main Methods:

Data from 807 subjects (healthy and sick) were collected.
50 stroke risk factors were assessed, including cardiovascular disease history, diabetes, hyperlipidemia, smoking, and alcohol consumption.
K-nearest neighbor and C4.5 decision tree algorithms were employed using WEKA software.

Main Results:

The C4.5 decision tree algorithm achieved 95.42% accuracy in predicting stroke.
The K-nearest neighbor algorithm achieved 94.18% accuracy in predicting stroke.

Conclusions:

Both C4.5 decision tree and K-nearest neighbor algorithms demonstrate high efficacy in stroke prediction.
These algorithms can be valuable tools for identifying high-risk individuals for stroke.