Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Residuals and Least-Squares Property01:11

Residuals and Least-Squares Property

7.8K
The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
7.8K
Microsoft Excel: Regression Analysis01:18

Microsoft Excel: Regression Analysis

932
Regression analysis in Microsoft Excel is a powerful statistical method for examining the relationship between a dependent variable and one or more independent variables. It's used extensively in fields such as economics, biology, and business to predict outcomes, understand relationships, and make data-driven decisions. The most common type is linear regression, which attempts to fit a straight line through the data points to model the relationship between variables.
To perform regression...
932
Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

2.3K
A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
2.3K
Regression Toward the Mean01:52

Regression Toward the Mean

6.5K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.5K

You might also read

Related Articles

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

Sort by
Same author

Digital learning effectiveness and strategies in medical training: perspectives on motivation and attitude among interns and PGY trainees.

BMC medical education·2026
Same author

Healthcare resource savings from administering paliperidone palmitate once every 3 months instead of once every month for schizophrenia: a 12-month mirror-image analysis of real-world population-based data.

Therapeutic advances in psychopharmacology·2026
Same author

Tackling Imbalanced Data in Chronic Obstructive Pulmonary Disease Diagnosis: An Ensemble Learning Approach with Synthetic Data Generation.

Bioengineering (Basel, Switzerland)·2026
Same author

FADEL: Ensemble Learning Enhanced by Feature Augmentation and Discretization.

Bioengineering (Basel, Switzerland)·2025
Same author

Frustrated Lewis Pair (FLP) Reactivity from Carbone-BPh<sub>3</sub> Lewis Adduct.

Chemistry (Weinheim an der Bergstrasse, Germany)·2025
Same author

A Multi-Stage Framework for Kawasaki Disease Prediction Using Clustering-Based Undersampling and Synthetic Data Augmentation: Cross-Institutional Validation with Dual-Center Clinical Data in Taiwan.

Bioengineering (Basel, Switzerland)·2025
Same journal

Correction: Komatsu et al. Three-Dimensional Visualization and Detection of the Pulmonary Venous-Left Atrium Connection Using Artificial Intelligence in Fetal Cardiac Ultrasound Screening. <i>Bioengineering</i> 2026, <i>13</i>, 100.

Bioengineering (Basel, Switzerland)·2026
Same journal

Comparison of CO<sub>2</sub> Laser and Microdebrider in the Surgical Treatment of Pediatric Recurrent Respiratory Papillomatosis: A Retrospective Analysis.

Bioengineering (Basel, Switzerland)·2026
Same journal

Toward More Translational Tumor Models: Breast dECM-Based 3D Systems Capture Native Microenvironmental Cues.

Bioengineering (Basel, Switzerland)·2026
Same journal

Postural Stability Changes During the 4 Phases of the Half Squat: Kinematics Profile of the Center of Pressure and Center of Mass in High-Performance Weightlifters-A Pilot Study.

Bioengineering (Basel, Switzerland)·2026
Same journal

Definite Implant Position as Novel Readout for Effectiveness of Ridge Preservation Indicates to Beneficial Effect of Combined Treatment with Platelet-Rich Fibrin (PRF) and Xenogenic Biomaterial in Bone Regeneration.

Bioengineering (Basel, Switzerland)·2026
Same journal

Trueness and Precision of Intraoral Scanners for 3D-Printed Orthodontic Models with Attachments: An In Vitro Comparative Study.

Bioengineering (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Sep 13, 2025

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable
09:24

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

Published on: May 17, 2024

1.6K

Predicting Fetal Growth with Curve Fitting and Machine Learning.

Huan Zhang1, Chuan-Sheng Hung1, Chun-Hung Richard Lin1

  • 1Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung 804, Taiwan.

Bioengineering (Basel, Switzerland)
|July 29, 2025
PubMed
Summary
This summary is machine-generated.

This study created a Taiwan-specific fetal growth chart using ultrasound data and regression modeling. The new reference aids in early detection of fetal growth abnormalities.

Keywords:
curve fittingfetal growthmachine learningpolynomial regressionprenatal ultrasound

More Related Videos

Fetal Echocardiography and Pulsed-wave Doppler Ultrasound in a Rabbit Model of Intrauterine Growth Restriction
14:19

Fetal Echocardiography and Pulsed-wave Doppler Ultrasound in a Rabbit Model of Intrauterine Growth Restriction

Published on: June 29, 2013

28.3K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.3K

Related Experiment Videos

Last Updated: Sep 13, 2025

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable
09:24

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

Published on: May 17, 2024

1.6K
Fetal Echocardiography and Pulsed-wave Doppler Ultrasound in a Rabbit Model of Intrauterine Growth Restriction
14:19

Fetal Echocardiography and Pulsed-wave Doppler Ultrasound in a Rabbit Model of Intrauterine Growth Restriction

Published on: June 29, 2013

28.3K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.3K

Area of Science:

  • Obstetrics and Gynecology
  • Medical Imaging
  • Biostatistics

Background:

  • Accurate fetal growth monitoring is crucial for identifying developmental issues.
  • Existing fetal growth references may not accurately reflect diverse populations.
  • Population-specific references are needed for precise prenatal care.

Purpose of the Study:

  • To develop a Taiwan-specific fetal growth reference chart.
  • To utilize a web-based platform for data collection and analysis.
  • To implement real-time anomaly detection for fetal biometric parameters.

Main Methods:

  • Collected ultrasound data from 980 pregnant women (8350 scans).
  • Modeled six key fetal biometric parameters using polynomial regression (quadratic).
  • Developed a web-based platform for data management and analysis.

Main Results:

  • Achieved R-squared values over 0.95 for most modeled fetal parameters.
  • Established a Taiwan-specific fetal growth reference.
  • Integrated confidence intervals and real-time anomaly detection into the platform.

Conclusions:

  • The developed Taiwan-specific fetal growth reference enables efficient monitoring.
  • Population-specific charts improve the accuracy of fetal growth assessment.
  • This approach has significant potential for clinical application in prenatal care.