AIMC Topic: Data Analysis

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Artificial intelligence applied to bed regulation in Rio Grande do Norte: Data analysis and application of machine learning on the "RegulaRN Leitos Gerais" platform.

PloS one Dec 30, 2024
Bed regulation within Brazil's National Health System (SUS) plays a crucial role in managing care for patients in need of hospitalization. In Rio Grande do Norte, Brazil, the RegulaRN Leitos Gerais platform was the information system developed to reg...
Humans Artificial Intelligence Machine Learning SARS-CoV-2 Data Analysis COVID-19 Hospitalization Databases, Factual Brazil
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Optimizing sequence data analysis using convolution neural network for the prediction of CNV bait positions.

BMC bioinformatics Dec 24, 2024
BACKGROUND: Accurate prediction of copy number variations (CNVs) from targeted capture next-generation sequencing (NGS) data relies on effective normalization of read coverage profiles. The normalization process is particularly challenging due to hid...
Humans Neural Networks, Computer DNA Copy Number Variations Algorithms Data Analysis High-Throughput Nucleotide Sequencing Sequence Analysis, DNA Exome Sequencing
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Phenolic content discrimination in Thai holy basil using hyperspectral data analysis and machine learning techniques.

PloS one Oct 2, 2024
Hyperspectral imaging has emerged as a powerful tool for the non-destructive assessment of plant properties, including the quantification of phytochemical contents. Traditional methods for antioxidant analysis in holy basil (Ocimum tenuiflorum L.) ar...
Data Analysis Thailand Neural Networks, Computer Machine Learning Hyperspectral Imaging Antioxidants Ocimum basilicum Phenols
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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...
Datasets as Topic Data Display Biomarkers Machine Learning Humans Breast Neoplasms Computer Simulation Data Analysis Convolutional Neural Networks Female
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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 Data Analysis Metabolomics
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Advanced deep learning approaches enable high-throughput biological and biomedicine data analysis.

Methods (San Diego, Calif.) Aug 21, 2024
Biomedical Research Deep Learning Computational Biology Humans Data Analysis High-Throughput Screening Assays
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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 ...
Metabolomics Metabolome Adenocarcinoma of Lung Lung Neoplasms Mass Spectrometry Female Reproducibility of Results Middle Aged Deep Learning Male Humans Data Analysis
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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...
Single-Cell Analysis Multiomics Machine Learning Artificial Intelligence Data Analysis Precision Medicine
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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 Risk Assessment India Algorithms Floods
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