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

Survival Tree01:19

Survival Tree

369
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...
369
Actuarial Approach01:20

Actuarial Approach

276
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
276
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

531
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
531
Surveys02:16

Surveys

16.6K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
16.6K
Kaplan-Meier Approach01:24

Kaplan-Meier Approach

530
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
530
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

710
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
710

You might also read

Related Articles

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

Sort by
Same author

Analysis of Characteristics Associated With Advanced-Stage Pressure Injury Classification Among Korean Hospitalised Patients: A Secondary Data Analysis.

Nursing open·2026
Same author

Path analysis of subjective health status, healthy lifestyle habits, and successful aging in Korean older adults: path differences by age.

BMC geriatrics·2026
Same author

Patterns and trends in infection control nursing research: text network analysis.

BMC nursing·2025
Same author

Effects of Web-Based Education Program for Self-Urination Management of Patients with Spinal Cord Injuries in Community: Preliminary Study.

Healthcare (Basel, Switzerland)·2025
Same author

Effects of a Post-Discharge Care Program for Surgery Patients with Brain Tumor.

Healthcare (Basel, Switzerland)·2025
Same author

Experience of Loneliness Among Middle-Aged Hemodialysis Patients: Qualitative Study.

Journal of nursing management·2025

Related Experiment Video

Updated: Jan 7, 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

7.9K

Exploring Drug Use and Healthcare Utilization Among Adult Suicide Attempters: A Decision Tree Approach Using National

Bohyun Choi1, Dajung Ryu2, Mihyeon Seong3

  • 1Health Insurance Review & Assessment Service, 3th, 13, Doum 4-ro, Sejong-si, 30113, Republic of Korea.

Journal of Nursing Management
|December 25, 2025
PubMed
Summary

South Korea has a high suicide rate. This study found that nearly 90% of suicide attempters were prescribed medications with suicide warnings, highlighting a critical link between prescription drugs and suicide risk.

Keywords:
decision treemedical experiencesmedicationsuicide attempters

More Related Videos

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

15.0K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.5K

Related Experiment Videos

Last Updated: Jan 7, 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

7.9K
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

15.0K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.5K

Area of Science:

  • Public Health
  • Psychiatry
  • Pharmacology

Background:

  • South Korea faces one of the highest suicide rates globally, necessitating research into contributing factors.
  • Understanding the relationship between prescription drugs and suicide attempts is vital for effective prevention strategies.

Purpose of the Study:

  • To analyze medical events preceding suicide attempts in South Korea.
  • To develop a classification model for prescribed medications associated with suicide attempts.

Main Methods:

  • Secondary data analysis of 1264 adult suicide attempters (aged 20-59) from March 2021 to March 2023.
  • Utilized Health Insurance Review and Assessment Service data and Ministry of Food and Drug Safety pharmaceutical classifications.
  • Employed decision tree analysis to build a medication classification model.

Main Results:

  • Psychotropic medications were identified as major predictors of suicide attempts across all age groups.
  • Respiratory system drugs were the most crucial variable, with hypnotics and sedatives (e.g., zolpidem) frequently prescribed for insomnia.
  • Nearly 90% of attempters received medications with suicide-related warnings or contraindications.

Conclusions:

  • Significant age-specific patterns exist in healthcare utilization and prescribed medication among suicide attempters.
  • Findings underscore the importance of considering prescribed medications, especially those with warnings, in suicide risk assessments.