AIMC Topic: Datasets as Topic

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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...
Humans Genetic Predisposition to Disease Computational Biology Datasets as Topic RNA, Circular Models, Genetic Databases, Genetic 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...
Datasets as Topic Biomedical Research Computational Biology Convolutional Neural Networks Natural Language Processing Data Mining
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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...
Humans Cardiovascular Diseases Datasets as Topic 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...
Mammography Female Humans Artificial Intelligence Breast Neoplasms Datasets as Topic Male
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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...
Humans Laryngoscopy Social Media Video Recording Datasets as Topic Machine Learning Image Processing, Computer-Assisted
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Predicting stroke severity of patients using interpretable machine learning algorithms.

European journal of medical research Nov 14, 2024
BACKGROUND: Stroke is a significant global health concern, ranking as the second leading cause of death and placing a substantial financial burden on healthcare systems, particularly in low- and middle-income countries. Timely evaluation of stroke se...
Young Adult Adult Male Middle Aged Stroke Severity of Illness Index Predictive Value of Tests Humans Iran Length of Stay Adolescent Area Under Curve Datasets as Topic Female Machine Learning Triglycerides Age Factors Registries Retrospective Studies Risk Factors Aged
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Large-scale multi-center CT and MRI segmentation of pancreas with deep learning.

Medical image analysis Nov 8, 2024
Automated volumetric segmentation of the pancreas on cross-sectional imaging is needed for diagnosis and follow-up of pancreatic diseases. While CT-based pancreatic segmentation is more established, MRI-based segmentation methods are understudied, la...
Humans Retrospective Studies Tomography, X-Ray Computed Datasets as Topic Deep Learning Pancreas Magnetic Resonance Imaging Pancreatic Diseases
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Automated real-world data integration improves cancer outcome prediction.

Nature Nov 6, 2024
The digitization of health records and growing availability of tumour DNA sequencing provide an opportunity to study the determinants of cancer outcomes with unprecedented richness. Patient data are often stored in unstructured text and siloed datase...
Datasets as Topic Automation Genomics Immunotherapy Natural Language Processing Registries Models, Biological Neoplasm Metastasis Humans Female Machine Learning Prognosis Male Electronic Health Records Neoplasms
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Publicly Available Dental Image Datasets for Artificial Intelligence.

Journal of dental research Oct 18, 2024
The development of artificial intelligence (AI) in dentistry requires large and well-annotated datasets. However, the availability of public dental imaging datasets remains unclear. This study aimed to provide a comprehensive overview of all publicly...
Artificial Intelligence Databases, Factual Datasets as Topic Humans
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Automated tumor localization and segmentation through hybrid neural network in head and neck cancer.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists Oct 10, 2024
PURPOSE: Head and Neck (H&N) cancer accounts for 3% of cancer cases in the United States. Precise tumor segmentation in H&N is of utmost importance for treatment planning and administering personalized treatment dose. We aimed to develop an automatic...
Head and Neck Neoplasms Neoplasm Staging Datasets as Topic Humans Neural Networks, Computer Deep Learning
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