AIMC Topic: Data Analysis

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Brand public opinion data analysis method based on deep learning.

PloS one
With the rapid development of Internet information technology and digital technology, various network platforms and media are showing a vigorous growth momentum. The powerful power of online public opinion has an immeasurable impact on brand awarenes...

Functional data analysis of ground reaction forces combined with clinical measures for early knee osteoarthritis detection.

Scientific reports
Early detection of knee osteoarthritis (KOA) is essential to improve treatment outcomes and reduce its long-term impact. However, early diagnosis of KOA (EKOA) remains difficult due to the absence of standardised criteria and the subtle or intermitte...

SHAP-based interpretable machine learning for injury risk prediction in university football players: a multi-dimensional data analysis approach.

Scientific reports
Sports injury prediction is crucial for university football player health, yet existing research predominantly focuses on professional athletes and lacks interpretability. Using the Kaggle "University Football Injury Prediction Dataset" (800 Chinese ...

A Review of Topological Data Analysis and Topological Deep Learning in Molecular Sciences.

Journal of chemical information and modeling
Topological data analysis (TDA) has emerged as a powerful framework for extracting robust, multiscale, and interpretable features from complex molecular data for artificial intelligence (AI) modeling and topological deep learning (TDL). This review p...

Computer Vision-Assisted Data Analysis for Correlative Electron Microscopy and Secondary Ion Mass Spectrometry Imaging.

Analytical chemistry
Correlative imaging is a powerful analytical approach in bioimaging, as it offers complementary information on the samples measured by different modalities. Particularly, correlative transmission electron microscopy (EM) and nanoscale secondary ion m...

Unsupervised machine learning for mass spectrometry imaging data analysis with isotope labeling.

The Analyst
Mass spectrometry imaging (MSI) has emerged as a powerful tool for spatial metabolomics, but untargeted data analysis has proven to be challenging. When combined with isotope labeling (MSI), MSI provides insights into metabolic dynamics with high sp...

Integrated Microbiome Data Analysis Reveals Potential Pneumonia Microbial Biomarkers in ICU Patients: A Machine Learning Approach.

Current microbiology
The human microbiome is pivotal in maintaining health and managing diseases. By examining the core microbiome in intensive care units (ICU) patients with pneumonia, we can gain valuable insights into the microbial communities associated with disease ...

Machine Learning-Based Retention Time Prediction Tool for Routine LC-MS Data Analysis.

Journal of chemical information and modeling
Accurate retention time () prediction models can significantly improve liquid chromatography-mass spectrometry (LC-MS) data analysis widely used in chemical synthesis. As hundreds of thousands of syntheses are performed annually at Enamine, a large a...

How renewable energy policies cut greenhouse gas emissions: Insights from advanced data analysis techniques.

Journal of environmental management
Renewable Energy Policies (REPs) have gained prominence at recent UNFCCC COPs as pivotal tools for mitigating greenhouse gas (GHG) emissions. In response, many countries have devised Renewable Energy Strategic Plans (RESPs) and set Renewable Energy T...

Classification of Lu'an Gua Pian tea before and after Qingming Festival using HPLC-DAD analysis: a comparison of different data analysis strategies.

Analytical methods : advancing methods and applications
Lu'an Gua Pian tea (LAGP) is a traditional Chinese historical tea and one of the top ten famous teas in China. The price of LAGP from the same place of origin varies greatly in the market depending on the harvest time, with the LAGP harvested before ...