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

Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

6.3K
Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
6.3K
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

1.8K
1.8K
Survival Tree01:19

Survival Tree

468
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
468
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

7.2K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
7.2K
Classification of Illness01:17

Classification of Illness

9.3K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
9.3K
Principles of Pharmacogenetics: Types of Genetic Variants01:27

Principles of Pharmacogenetics: Types of Genetic Variants

89
The human genome is over 99.9% identical between individuals, yet genetic differences exist at millions of bases. The human genome contains approximately 3 million variant positions per individual, many of which are heterozygous, contributing to genetic diversity and individual traits. Genetic variations include single-nucleotide polymorphisms (SNPs), insertions, deletions, and copy number variations (CNVs).SNPs, the most common variation, involve single-base changes in DNA. These can be...
89

You might also read

Related Articles

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

Sort by
Same author

Self-Directed vs Clinician-Delivered Cognitive Behavioral Therapy for Chronic Pain: A Randomized Clinical Trial.

JAMA·2026
Same author

Weight and Eating Quality-of-Life (WE-QOL): Further Validation of a Brief Patient-Reported Outcome Measure in US Military Veterans.

Journal of general internal medicine·2026
Same author

The Veterans Affairs' Whole Health Approach for Chronic Pain Management: The wHOPE Randomized Clinical Trial.

JAMA·2026
Same author

Relational demand in the chronic pain experience of women veterans: a mixed methods analysis.

Journal of behavioral medicine·2026
Same author

Three-part random effect models for longitudinal skewed survey data with "not applicable" responses.

Journal of educational and behavioral statistics : a quarterly publication sponsored by the American Educational Research Association and the American Statistical Association·2026
Same author

Randomized Controlled Trial of Weight Management Versus Weight Management With Concurrent Cognitive-Behavioral Therapy for Binge-Eating Disorder in US Veterans With High Weight.

The International journal of eating disorders·2025
Same journal

Improving Overall Risk Ranking via Subgroup-Level Information Borrowing in Survival Risk Stratification.

Statistics and its interface·2026
Same journal

High-dimensional Bayesian mediation analysis with adaptive Laplace priors.

Statistics and its interface·2026
Same journal

Imaging mediation analysis for longitudinal outcomes: a case study of childhood brain tumor survivorship.

Statistics and its interface·2025
Same journal

Variable selection for doubly robust causal inference.

Statistics and its interface·2025
Same journal

Smooth online parameter estimation for time varying VAR models with application to rat local field potential activity data.

Statistics and its interface·2025
Same journal

A Double Regression Method for Graphical Modeling of High-dimensional Nonlinear and Non-Gaussian Data.

Statistics and its interface·2025
See all related articles

Related Experiment Video

Updated: Mar 27, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

8.2K

A modified classification tree method for personalized medicine decisions.

Wan-Min Tsai1, Heping Zhang2, Eugenia Buta3

  • 1Department of Biostatistics, Yale University School of Public Health, New Haven, CT 06520, USA, wanmin1027@gmail.com.

Statistics and Its Interface
|January 16, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces an improved tree-based method to identify patient subgroups that benefit most from specific treatments. The enhanced algorithm aids in personalized medicine and clinical decision-making for better health outcomes.

Keywords:
Binary treeClassification treeDecision treePersonalized medicineRecursive partitioningSubgroupTailored treatment

More Related Videos

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

8.1K
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

8.9K

Related Experiment Videos

Last Updated: Mar 27, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

8.2K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

8.1K
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

8.9K

Area of Science:

  • Biostatistics
  • Medical Informatics
  • Computational Biology

Background:

  • Classical tree-based methods are used for health outcome prediction but do not account for treatment assignment.
  • Emerging tree-based approaches aim to identify patient subgroups with differential treatment responses.
  • Personalized medicine necessitates methods that predict treatment efficacy based on individual characteristics.

Purpose of the Study:

  • To extend existing tree-based methods for identifying subgroups with differential treatment responses.
  • To incorporate automatic pruning and a performance assessment measure for improved predictive accuracy.
  • To develop a statistical tool for personalized treatment strategies and clinical decision support.

Main Methods:

  • Modification of a previously established tree-based algorithm (Zhang et al., 2010).
  • Inclusion of an automatic pruning step to optimize tree structure.
  • Development of a novel measure for evaluating the predictive performance of the generated trees.
  • Validation through simulation studies and application to a real-world clinical trial dataset.

Main Results:

  • The enhanced tree-based method efficiently identifies subgroups responding favorably to specific treatments.
  • The proposed pruning and performance assessment measures improve the reliability of subgroup identification.
  • The method demonstrated effectiveness in a simulation study and in analyzing alcohol dependence treatment data.

Conclusions:

  • The developed statistical tool offers an efficient approach for personalized medicine.
  • This method can guide clinical decision-making by identifying optimal treatments for specific patient subgroups.
  • The enhanced algorithm facilitates tailored treatment strategies based on patient baseline characteristics.