Jove
Visualize
Contact Us

Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.8K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.8K
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

59
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
59
Introduction to GIS01:28

Introduction to GIS

158
Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
158
Manipulation and Analysis01:21

Manipulation and Analysis

53
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
53
Levels of Use of a GIS01:29

Levels of Use of a GIS

83
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
83
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

900
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
900

You might also read

Related Articles

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

Sort by
Same author

Decentralized trust optimization in VANETs: A blockchain-driven hybrid PoS-PBFT architecture for enhanced security and energy-efficient communication.

PloS one·2025
Same author

An Enhanced Architecture to Resolve Public-Key Cryptographic Issues in the Internet of Things (IoT), Employing Quantum Computing Supremacy.

Sensors (Basel, Switzerland)·2022
Same author

An Effective Self-Configurable Ransomware Prevention Technique for IoMT.

Sensors (Basel, Switzerland)·2022
Same author

Collaborative Learning Based Sybil Attack Detection in Vehicular AD-HOC Networks (VANETS).

Sensors (Basel, Switzerland)·2022
Same author

Characterization of English Braille Patterns Using Automated Tools and RICA Based Feature Extraction Methods.

Sensors (Basel, Switzerland)·2022
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 Experiment Video

Updated: Aug 25, 2025

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

7.7K

Understanding the User-Generated Geographic Information by Utilizing Big Data Analytics for Health Care.

Hidayat Ullah1, Alaa Ali Hameed2, Sanam Shahla Rizvi3

  • 1Faculty of Engineering and Natural Sciences, Department of Computer Engineering, Istanbul Sabahattin Zaim University, Istanbul, Turkey.

Computational Intelligence and Neuroscience
|October 17, 2022
PubMed
Summary
This summary is machine-generated.

This study analyzed physical activity patterns in Shanghai using location-based social network data. It found that integrating activities into daily routines, not just dedicated exercise, significantly impacts lifestyle and well-being.

More Related Videos

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

7.2K
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.3K

Related Experiment Videos

Last Updated: Aug 25, 2025

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

7.7K
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

7.2K
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.3K

Area of Science:

  • Urban Planning
  • Public Health
  • Data Science

Background:

  • Achieving an active lifestyle involves dedicated exercise or integrating activity into daily routines.
  • Location-Based Social Network (LBSN) data offers a novel approach to studying physical activity patterns.

Purpose of the Study:

  • To examine the influence of diverse physical engagements on participant density dispersion in Shanghai.
  • To evaluate the dependability of big data from social networks (Weibo) for physical activity research compared to traditional methods.
  • To investigate the relationship between check-in data (time, class, place, frequency) and geographic features.

Main Methods:

  • Utilized a mix of spatial, temporal, and visualization methodologies.
  • Employed Kernel Density Estimation for geographical assessment.
  • Analyzed Weibo check-in data for physical venues (gyms, parks) and applied relative difference formulation for gender disparity analysis.

Main Results:

  • Physical activities and frequency allocation were mapped based on hour-to-day consumption habits.
  • Observed prevalence of check-ins, peak times for venue visits, and identified gender disparities in physical activity engagement.
  • Demonstrated the utility of LBSN data for understanding physical activity patterns and their geographical distribution.

Conclusions:

  • Integrating physical activity into daily routines is crucial for an active lifestyle and overall well-being.
  • LBSN data, specifically Weibo check-ins, provides valuable insights into population-level physical activity and its spatial distribution.
  • Further research can leverage these methods to inform public health initiatives and urban planning in Shanghai.