AIMC Topic: Data Analysis

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Feature-based detection of breast cancer using convolutional neural network and feature engineering.

Scientific reports Sep 27, 2024
Breast cancer (BC) is a prominent cause of female mortality on a global scale. Recently, there has been growing interest in utilizing blood and tissue-based biomarkers to detect and diagnose BC, as this method offers a non-invasive approach. To impro...
Biomarkers Computer Simulation Machine Learning Data Analysis Humans Convolutional Neural Networks Datasets as Topic Data Display Female Breast Neoplasms
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HerbMet: Enhancing metabolomics data analysis for accurate identification of Chinese herbal medicines using deep learning.

Phytochemical analysis : PCA Aug 21, 2024
INTRODUCTION: Chinese herbal medicines have been utilized for thousands of years to prevent and treat diseases. Accurate identification is crucial since their medicinal effects vary between species and varieties. Metabolomics is a promising approach ...
Drugs, Chinese Herbal Panax Deep Learning Metabolomics Data Analysis
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Advanced deep learning approaches enable high-throughput biological and biomedicine data analysis.

Methods (San Diego, Calif.) Aug 21, 2024
Deep Learning Data Analysis High-Throughput Screening Assays Biomedical Research Computational Biology Humans
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An end-to-end deep learning method for mass spectrometry data analysis to reveal disease-specific metabolic profiles.

Nature communications Aug 20, 2024
Untargeted metabolomic analysis using mass spectrometry provides comprehensive metabolic profiling, but its medical application faces challenges of complex data processing, high inter-batch variability, and unidentified metabolites. Here, we present ...
Male Middle Aged Female Reproducibility of Results Mass Spectrometry Metabolomics Metabolome Deep Learning Lung Neoplasms Humans Data Analysis Adenocarcinoma of Lung
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The artificial intelligence advantage: Supercharging exploratory data analysis.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Jul 31, 2024
Explorative data analysis (EDA) is a critical step in scientific projects, aiming to uncover valuable insights and patterns within data. Traditionally, EDA involves manual inspection, visualization, and various statistical methods. The advent of arti...
Data Analysis Algorithms Artificial Intelligence Machine Learning Humans
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Harnessing Artificial Intelligence in Multimodal Omics Data Integration: Paving the Path for the Next Frontier in Precision Medicine.

Annual review of biomedical data science Jul 24, 2024
The integration of multiomics data with detailed phenotypic insights from electronic health records marks a paradigm shift in biomedical research, offering unparalleled holistic views into health and disease pathways. This review delineates the curre...
Multiomics Artificial Intelligence Machine Learning Precision Medicine Single-Cell Analysis Data Analysis
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Integrating machine learning and geospatial data analysis for comprehensive flood hazard assessment.

Environmental science and pollution research international Jul 20, 2024
Flooding is a major natural hazard worldwide, causing catastrophic damage to communities and infrastructure. Due to climate change exacerbating extreme weather events robust flood hazard modeling is crucial to support disaster resilience and adaptati...
Machine Learning Data Analysis India Floods Algorithms Risk Assessment
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Data modeling analysis of GFRP tubular filled concrete column based on small sample deep meta learning method.

PloS one Jul 10, 2024
The meta-learning method proposed in this paper addresses the issue of small-sample regression in the application of engineering data analysis, which is a highly promising direction for research. By integrating traditional regression models with opti...
Plastics Glass Neural Networks, Computer Deep Learning Data Analysis Construction Materials
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Insights Derived From Text-Based Digital Media, in Relation to Mental Health and Suicide Prevention, Using Data Analysis and Machine Learning: Systematic Review.

JMIR mental health Jun 27, 2024
BACKGROUND: Text-based digital media platforms have revolutionized communication and information sharing, providing valuable access to knowledge and understanding in the fields of mental health and suicide prevention.
Humans Suicide Prevention Machine Learning Social Media Data Analysis Mental Health
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Image capturing, segmentation and data analysis of shredded refuse streams.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Jun 23, 2024
Refuse sorting is an important cornerstone of the recycling industry, but ever-changing refuse compositions and the desire to increase recycling rates still pose many unsolved challenges. The digitalisation of refuse sorting plants promises to overco...
Refuse Disposal Image Processing, Computer-Assisted Recycling Solid Waste Neural Networks, Computer Data Analysis
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