AIMC Topic: Big Data

Clear Filters Showing 1 to 10 of 639 articles

A big data driven multilevel deep learning framework for predicting terrorist attacks.

Scientific reports Jul 2, 2025
In recent years, terrorism has increasingly threatened human security, causing violence, fear, and damage to both the general public and specific targets. These attacks create unrest among individuals and within society. Leveraging the recent advance...
Deep Learning Big Data Terrorism Humans Forecasting
View on PubMed DOI

The Use of Machine Learning for Analyzing Real-World Data in Disease Prediction and Management: Systematic Review.

JMIR medical informatics Jun 19, 2025
BACKGROUND: Machine learning (ML) and big data analytics are rapidly transforming health care, particularly disease prediction, management, and personalized care. With the increasing availability of real-world data (RWD) from diverse sources, such as...
Electronic Health Records Big Data Humans Disease Management Machine Learning
View on PubMed DOI

The analysis of marketing performance in E-commerce live broadcast platform based on big data and deep learning.

Scientific reports May 4, 2025
This study aims to conduct a comprehensive and in-depth analysis of the marketing performance of e-commerce live broadcast platforms based on big data management technology and deep learning. Firstly, by synthesizing large-scale datasets and surveys,...
Humans Deep Learning Commerce Consumer Behavior Big Data Neural Networks, Computer Marketing
View on PubMed DOI

Are Treatment Services Ready for the Use of Big Data Analytics and AI in Managing Opioid Use Disorder?

Journal of medical Internet research Apr 28, 2025
In this viewpoint, we explore the use of big data analytics and artificial intelligence (AI) and discuss important challenges to their ethical, effective, and equitable use within opioid use disorder (OUD) treatment settings. Applying our collective ...
Big Data Opioid-Related Disorders Data Analytics Humans Artificial Intelligence
View on PubMed DOI

Optimized machine learning mechanism for big data healthcare system to predict disease risk factor.

Scientific reports Apr 24, 2025
Heart disease is becoming more and more common in modern society because of factors like stress, inadequate diets, etc. Early identification of heart disease risk factors is essential as it allows for treatment plans that may reduce the risk of sever...
Humans Machine Learning Heart Disease Risk Factors Risk Assessment Delivery of Health Care Big Data Heart Diseases Risk Factors
View on PubMed DOI

An application of deep learning model InceptionTime to predict nausea, vomiting, diarrhoea, and constipation using the gastro-intestinal pacemaker activity drug database (GIPADD).

Scientific reports Apr 16, 2025
The accurate preclinical prediction of adverse drug reactions (ADRs), such as nausea and vomiting, remains a challenge. The Gastro-Intestinal Pacemaker Activity Drug Database (GIPADD) ( http://www.gutrhythm.com/public_database ) is a new source of el...
Electrodiagnosis Digestive System Diseases Predictive Learning Models Databases, Pharmaceutical Biological Clocks Drug-Related Side Effects and Adverse Reactions Humans Gastrointestinal Tract Deep Learning Nausea Big Data Vomiting Reproducibility of Results Constipation Area Under Curve Feasibility Studies Diarrhea ROC Curve
View on PubMed DOI

The satisfaction of ecological environment in sports public services by artificial intelligence and big data.

Scientific reports Apr 13, 2025
In order to gain a more accurate understanding and enhance the relationship between the fitness ecological environment and artificial intelligence (AI)-driven sports public services, this study combines a Convolutional Neural Network (CNN) approach b...
Artificial Intelligence Surveys and Questionnaires Big Data Humans Neural Networks, Computer Personal Satisfaction Sports
View on PubMed DOI

optRF: Optimising random forest stability by determining the optimal number of trees.

BMC bioinformatics Mar 31, 2025
Machine learning is frequently used to make decisions based on big data. Among these techniques, random forest is particularly prominent. Although random forest is known to have many advantages, one aspect that is often overseen is that it is a non-d...
Software Algorithms Big Data Computational Biology Machine Learning Random Forest
View on PubMed DOI

Generative AI Models in Time-Varying Biomedical Data: Scoping Review.

Journal of medical Internet research Mar 10, 2025
BACKGROUND: Trajectory modeling is a long-standing challenge in the application of computational methods to health care. In the age of big data, traditional statistical and machine learning methods do not achieve satisfactory results as they often fa...
Algorithms Big Data Humans Artificial Intelligence Machine Learning
View on PubMed DOI

Planning and layout of tourism and leisure facilities based on POI big data and machine learning.

PloS one Mar 4, 2025
The spatial arrangement of tourism cities and the strategic placement of tourism and leisure facilities are pivotal to the development of smart tourism cities. The integration of Point of Interest (POI) data, enriched with location-specific insights,...
City Planning Leisure Activities Algorithms Humans Big Data Cities Machine Learning China Beijing Tourism
View on PubMed DOI
Popular Topics
Recent Journals