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

You might also read

Related Articles

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

Sort by
Same author

Multi-family wavelet-based feature engineering method for short-term time series forecasting.

Scientific reports·2025
Same author

Nature-inspired swarm optimization paradigms for securing semantic web frameworks against DDoS attacks: a computational approach.

Scientific reports·2025
Same author

GRNN-based cascade ensemble model for non-destructive damage state identification: small data approach.

Engineering with computers·2025
Same author

Time Series Forecasting Model Based on the Adapted Transformer Neural Network and FFT-Based Features Extraction.

Sensors (Basel, Switzerland)·2025
Same author

Innovative machine learning approaches for indoor air temperature forecasting in smart infrastructure.

Scientific reports·2025
Same author

Metaverse forensics framework: A NIST based investigation framework for metaverse.

Science & justice : journal of the Forensic Science Society·2024
Same journal

Modeling the impact of budget limitation on the screening and treatment pathway of HPV-induced precancerous cervical lesions.

Mathematical biosciences and engineering : MBE·2026
Same journal

Modeling the effects of trait-mediated dispersal on coexistence of two species: Competition and non-consumptive predator-prey.

Mathematical biosciences and engineering : MBE·2026
Same journal

A close look at the viral reduction rate in target cell limited models.

Mathematical biosciences and engineering : MBE·2026
Same journal

A stochastic agent-based model for simulating tumor-immune dynamics and evaluating therapeutic strategies.

Mathematical biosciences and engineering : MBE·2026
Same journal

Addressing domain shift via imbalance-aware domain adaptation in embryo development assessment.

Mathematical biosciences and engineering : MBE·2026
Same journal

Effect of drug resistance on an HIV epidemic in heterogeneous populations.

Mathematical biosciences and engineering : MBE·2026
See all related articles

Related Experiment Video

Updated: Oct 20, 2025

A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

347

Special issue: Informatics & data-driven medicine.

Ivan Izonin1, Nataliya Shakhovska1

  • 1Department of Artificial Intelligence, Lviv Polytechnic National University, Kniazia Romana str., 5, Lviv 79905, Ukraine.

Mathematical Biosciences and Engineering : MBE
|September 14, 2021
PubMed
Summary
This summary is machine-generated.

Data-Driven Medicine leverages IoT and AI to process vast patient data, enabling real-time monitoring and personalized healthcare. This approach enhances diagnostic accuracy and speeds up disease detection for improved patient outcomes.

Keywords:
IoTclassificationdata-driven medicineinformaticsmachine learningneural networkspredictive modelingsmall data approach

More Related Videos

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

1.2K
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.1K

Related Experiment Videos

Last Updated: Oct 20, 2025

A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

347
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

1.2K
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.1K

Area of Science:

  • Medical Informatics
  • Digital Health

Background:

  • Traditional patient data collection was limited to clinic visits, yielding fragmented information.
  • Advancements in computing and miniature smart devices enable real-time, comprehensive patient monitoring.

Discussion:

  • Clinicians now face data science challenges with large, complex, and uncertain datasets.
  • This necessitates efficient data processing to maintain diagnostic and therapeutic quality.

Key Insights:

  • Data-Driven Medicine integrates Internet of Things (IoT) and Artificial Intelligence (AI) for efficient data processing.
  • This approach facilitates precision medical care through data integration and management.

Outlook:

  • AI and digital tools will enhance disease understanding, early detection, and diagnosis.
  • Personalized, patient-oriented prevention and intervention strategies will become more feasible.