AIMC Topic: Data Analysis

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Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis.

Scientific reports Jul 16, 2023
Diabetes is a heterogenous, multimorbid disorder with a large variation in manifestations, trajectories, and outcomes. The aim of this study is to validate a novel machine learning method for the phenotyping of diabetes in the context of comorbiditie...
Cardiovascular Diseases Middle Aged Aged Male Diabetes Mellitus Unsupervised Machine Learning Kidney Diseases Risk Assessment Comorbidity Humans Data Analysis Phenotype Female
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An automated framework for evaluation of deep learning models for splice site predictions.

Scientific reports Jun 23, 2023
A novel framework for the automated evaluation of various deep learning-based splice site detectors is presented. The framework eliminates time-consuming development and experimenting activities for different codebases, architectures, and configurati...
Data Analysis Animals Deep Learning Humans Caenorhabditis elegans RNA Splice Sites Genomics RNA, Messenger
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Artificial Intelligence Can Generate Fraudulent but Authentic-Looking Scientific Medical Articles: Pandora's Box Has Been Opened.

Journal of medical Internet research May 31, 2023
BACKGROUND: Artificial intelligence (AI) has advanced substantially in recent years, transforming many industries and improving the way people live and work. In scientific research, AI can enhance the quality and efficiency of data analysis and publi...
Algorithms Language Artificial Intelligence Data Analysis Semantics Humans
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Artificial Intelligence and Public Health: An Exploratory Study.

International journal of environmental research and public health Mar 3, 2023
Artificial intelligence (AI) has the potential to revolutionize research by automating data analysis, generating new insights, and supporting the discovery of new knowledge. The top 10 contribution areas of AI towards public health were gathered in t...
Public Health Parks, Recreational Knowledge Artificial Intelligence Data Analysis Humans
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Single-cell RNA-seq data analysis based on directed graph neural network.

Methods (San Diego, Calif.) Feb 16, 2023
Single-cell RNA sequencing (scRNA-seq) data scale surges with high-throughput sequencing technology development. However, although single-cell data analysis is a powerful tool, various issues have been reported, such as sequencing sparsity and comple...
High-Throughput Nucleotide Sequencing Neural Networks, Computer Gene Expression Profiling Data Analysis Single-Cell Analysis Sequence Analysis, RNA Cluster Analysis Single-Cell Gene Expression Analysis
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From data analysis to paper writing: How Artificial intelligence is changing the face of scientific literature.

Oral oncology Jan 27, 2023
Writing Artificial Intelligence Data Analysis Humans
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Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat).

Medical image analysis Jan 19, 2023
Diffusion MRI is a useful neuroimaging tool for non-invasive mapping of human brain microstructure and structural connections. The analysis of diffusion MRI data often requires brain segmentation, including volumetric segmentation and cerebral cortic...
Humans Deep Learning Data Analysis Diffusion Magnetic Resonance Imaging Image Processing, Computer-Assisted Aged Magnetic Resonance Imaging
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Deep Learning-Based Adaptive Compression and Anomaly Detection for Smart B5G Use Cases Operation.

Sensors (Basel, Switzerland) Jan 16, 2023
The evolution towards next-generation Beyond 5G (B5G) networks will require not only innovation in transport technologies but also the adoption of smarter, more efficient operations of the use cases that are foreseen to be the high consumers of netwo...
Data Analysis Deep Learning Benchmarking Data Compression Physical Phenomena
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Polyphony: an Interactive Transfer Learning Framework for Single-Cell Data Analysis.

IEEE transactions on visualization and computer graphics Dec 20, 2022
Reference-based cell-type annotation can significantly reduce time and effort in single-cell analysis by transferring labels from a previously-annotated dataset to a new dataset. However, label transfer by end-to-end computational methods is challeng...
Computer Graphics Data Analysis Single-Cell Analysis Humans Artificial Intelligence Machine Learning
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A Robust Deep Learning Ensemble-Driven Model for Defect and Non-Defect Recognition and Classification Using a Weighted Averaging Sequence-Based Meta-Learning Ensembler.

Sensors (Basel, Switzerland) Dec 17, 2022
The need to overcome the challenges of visual inspections conducted by domain experts drives the recent surge in visual inspection research. Typical manual industrial data analysis and inspection for defects conducted by trained personnel are expensi...
Empirical Research Intelligence Data Analysis Industry Deep Learning
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