AIMC Topic: Big Data

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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...
Machine Learning Delivery of Health Care Risk Factors Humans Heart Disease Risk Factors Risk Assessment Big Data Heart Diseases
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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...
Humans Reproducibility of Results Digestive System Diseases Predictive Learning Models Databases, Pharmaceutical Biological Clocks Electrodiagnosis Deep Learning Feasibility Studies Diarrhea Big Data Constipation Drug-Related Side Effects and Adverse Reactions Nausea ROC Curve Gastrointestinal Tract Vomiting Area Under Curve
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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...
Humans Big Data Personal Satisfaction Sports Neural Networks, Computer Artificial Intelligence Surveys and Questionnaires
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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...
Computational Biology Random Forest Software Algorithms Big Data Machine Learning
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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...
Big Data Humans Artificial Intelligence Machine Learning Algorithms
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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 Humans Machine Learning Algorithms Cities Beijing China Tourism Leisure Activities Big Data
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Non-Invasive Biomarkers in the Era of Big Data and Machine Learning.

Sensors (Basel, Switzerland) Feb 25, 2025
Invasive diagnostic techniques, while offering critical insights into disease pathophysiology, are often limited by high costs, procedural risks, and patient discomfort. Non-invasive biomarkers represent a transformative alternative, providing diagno...
Precision Medicine Humans Big Data Machine Learning Biomarkers
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Big data analysis and machine learning of the role of cuproptosis-related long non-coding RNAs (CuLncs) in the prognosis and immune landscape of ovarian cancer.

Frontiers in immunology Feb 25, 2025
BACKGROUND: Ovarian cancer (OC) is a severe malignant tumor with a significant threat to women's health, characterized by a high mortality rate and poor prognosis despite conventional treatments such as cytoreductive surgery and platinum-based chemot...
RNA, Long Noncoding Middle Aged Ovarian Neoplasms Gene Expression Regulation, Neoplastic Prognosis Humans Big Data Female Cell Line, Tumor Cell Proliferation Machine Learning Biomarkers, Tumor Cell Movement
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An investigation of microbial groundwater contamination seasonality and extreme weather event interruptions using "big data", time-series analyses, and unsupervised machine learning.

Environmental pollution (Barking, Essex : 1987) Feb 6, 2025
Temporal studies of groundwater potability have historically focused on E. coli detection rates, with non-E. coli coliforms (NEC) and microbial concentrations remaining understudied by comparison. Additionally, "big data" (i.e., large, diverse datase...
Extreme Weather Groundwater Big Data Environmental Monitoring Unsupervised Machine Learning Escherichia coli Seasons Water Microbiology
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Development of Personas and Journey Maps for Artificial Intelligence Agents Supporting the Use of Health Big Data: Human-Centered Design Approach.

JMIR formative research Jan 8, 2025
BACKGROUND: The rapid proliferation of artificial intelligence (AI) requires new approaches for human-AI interfaces that are different from classic human-computer interfaces. In developing a system that is conducive to the analysis and use of health ...
Male Middle Aged Qualitative Research Big Data User-Computer Interface User-Centered Design Artificial Intelligence Female Adult Humans
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