AIMC Topic: Datasets as Topic

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Multi-modal dataset creation for federated learning with DICOM-structured reports.

International journal of computer assisted radiology and surgery Feb 3, 2025
Purpose Federated training is often challenging on heterogeneous datasets due to divergent data storage options, inconsistent naming schemes, varied annotation procedures, and disparities in label quality. This is particularly evident in the emerging...
Humans Tomography, X-Ray Computed Datasets as Topic Radiology Information Systems Federated Learning Deep Learning Electrocardiography
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The Social Construction of Categorical Data: Mixed Methods Approach to Assessing Data Features in Publicly Available Datasets.

JMIR medical informatics Jan 28, 2025
BACKGROUND: In data-sparse areas such as health care, computer scientists aim to leverage as much available information as possible to increase the accuracy of their machine learning models' outputs. As a standard, categorical data, such as patients'...
Brazil Datasets as Topic Humans Machine Learning
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Multimodal multiview bilinear graph convolutional network for mild cognitive impairment diagnosis.

Biomedical physics & engineering express Jan 22, 2025
Mild cognitive impairment (MCI) is a significant predictor of the early progression of Alzheimer's disease (AD) and can serve as an important indicator of disease progression. However, many existing methods focus mainly on the image when processing b...
Humans Neural Networks, Computer Prediction Methods, Machine Gray Matter White Matter Genetic Testing Alzheimer Disease Spatial Analysis Neuroimaging Datasets as Topic Magnetic Resonance Imaging Predictive Value of Tests Cerebrospinal Fluid Cognitive Dysfunction Genetic Predisposition to Disease
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Semantic search helper: A tool based on the use of embeddings in multi-item questionnaires as a harmonization opportunity for merging large datasets - A feasibility study.

European psychiatry : the journal of the Association of European Psychiatrists Jan 20, 2025
BACKGROUND: Recent advances in natural language processing (NLP), particularly in language processing methods, have opened new avenues in semantic data analysis. A promising application of NLP is data harmonization in questionnaire-based cohort studi...
Humans Surveys and Questionnaires Natural Language Processing Semantics Feasibility Studies Datasets as Topic
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Let it shine: Autofluorescence of Papanicolaou-stain improves AI-based cytological oral cancer detection.

Computers in biology and medicine Dec 10, 2024
BACKGROUND AND OBJECTIVES: Oral cancer is a global health challenge. The disease can be successfully treated if detected early, but the survival rate drops significantly for late stage cases. There is a growing interest in a shift from the current st...
Datasets as Topic Optical Imaging Mouth Mucosa Multimodal Imaging Biopsy Microscopy Image Interpretation, Computer-Assisted Mouth Neoplasms Humans Adult Papanicolaou Test Early Detection of Cancer Deep Learning
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KGRACDA: A Model Based on Knowledge Graph from Recursion and Attention Aggregation for CircRNA-Disease Association Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
CircRNA is closely related to human disease, so it is important to predict circRNA-disease association (CDA). However, the traditional biological detection methods have high difficulty and low accuracy, and computational methods represented by deep l...
Datasets as Topic RNA, Circular Humans Models, Genetic Genetic Predisposition to Disease Databases, Genetic Computational Biology Knowledge Bases
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Enhancing Generalizability in Biomedical Entity Recognition: Self-Attention PCA-CLS Model.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
One of the primary tasks in the early stages of data mining involves the identification of entities from biomedical corpora. Traditional approaches relying on robust feature engineering face challenges when learning from available (un-)annotated data...
Biomedical Research Natural Language Processing Convolutional Neural Networks Data Mining Computational Biology Datasets as Topic
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A hybridization of XGBoost machine learning model by Optuna hyperparameter tuning suite for cardiovascular disease classification with significant effect of outliers and heterogeneous training datasets.

International journal of cardiology Nov 28, 2024
BACKGROUND: Over the last few decades: heart disease (HD) has emerged as one of the deadliest diseases in the world. Approximately more than 31 % of the population dies from HD each year. The Diagnosis of HD in an earlier stage is a cognitively chall...
Cardiovascular Diseases Datasets as Topic Humans Machine Learning Databases, Factual Male
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Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review.

Clinical imaging Nov 26, 2024
PURPOSE: There are many radiological datasets for breast cancer, some which have supported the development of AI medical devices for breast cancer screening and image classification. This review aims to identify mammography datasets (including digiti...
Male Female Humans Breast Neoplasms Datasets as Topic Mammography Artificial Intelligence
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Comparative Analysis of Machine-Learning Model Performance in Image Analysis: The Impact of Dataset Diversity and Size.

Anesthesia and analgesia Nov 15, 2024
BACKGROUND: This study presents an analysis of machine-learning model performance in image analysis, with a specific focus on videolaryngoscopy procedures. The research aimed to explore how dataset diversity and size affect the performance of machine...
Social Media Video Recording Laryngoscopy Datasets as Topic Humans Machine Learning Image Processing, Computer-Assisted
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