AIMC Topic: Databases as Topic

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Medical language model specialized in extracting cardiac knowledge.

Scientific reports Nov 23, 2024
The advent of the Transformer has significantly altered the course of research in Natural Language Processing (NLP) within the domain of deep learning, making Transformer-based studies the mainstream in subsequent NLP research. There has also been co...
Databases as Topic Knowledge Cardiology Language Models, Theoretical Natural Language Processing
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The accuracy of an Online Sequential Extreme Learning Machine in detecting voice pathology using the Malaysian Voice Pathology Database.

Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale Sep 20, 2023
BACKGROUND: A multidimensional voice quality assessment is recommended for all patients with dysphonia, which requires a patient visit to the otolaryngology clinic. The aim of this study was to determine the accuracy of an online artificial intellige...
Voice Quality Dysphonia Southeast Asian People Algorithms Databases, Factual Databases as Topic Humans Artificial Intelligence Machine Learning
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A Transfer-Learning-Based Deep Convolutional Neural Network for Predicting Leukemia-Related Phosphorylation Sites from Protein Primary Sequences.

International journal of molecular sciences Feb 3, 2022
As one of the most important post-translational modifications (PTMs), phosphorylation refers to the binding of a phosphate group with amino acid residues like Ser (S), Thr (T) and Tyr (Y) thus resulting in diverse functions at the molecular level. Ab...
Deep Learning ROC Curve Cluster Analysis Humans Neural Networks, Computer Peptides Entropy Leukemia Learning Curve Phosphoproteins Amino Acid Sequence Databases as Topic Neoplasm Proteins Phosphorylation
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CRNNTL: Convolutional Recurrent Neural Network and Transfer Learning for QSAR Modeling in Organic Drug and Material Discovery.

Molecules (Basel, Switzerland) Nov 30, 2021
Molecular latent representations, derived from autoencoders (AEs), have been widely used for drug or material discovery over the past couple of years. In particular, a variety of machine learning methods based on latent representations have shown exc...
Databases as Topic Quantitative Structure-Activity Relationship Binding Sites Neural Networks, Computer Regression Analysis Drug Discovery Area Under Curve ROC Curve Isomerism Organic Chemicals Models, Theoretical
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Machine Learning-Based Prediction of Drug-Drug Interactions for Histamine Antagonist Using Hybrid Chemical Features.

Cells Nov 9, 2021
The requesting of detailed information on new drugs including drug-drug interactions or targets is often unavailable and resource-intensive in assessing adverse drug events. To shorten the common evaluation process of drug-drug interactions, we prese...
Cytochrome P-450 Enzyme System Databases as Topic Histamine Antagonists ROC Curve Drug Interactions Machine Learning Algorithms Reproducibility of Results
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Performance evaluation in [18F]Florbetaben brain PET images classification using 3D Convolutional Neural Network.

PloS one Oct 20, 2021
High accuracy has been reported in deep learning classification for amyloid brain scans, an important factor in Alzheimer's disease diagnosis. However, the possibility of overfitting should be considered, as this model is fitted with sample data. The...
Aged Brain Databases as Topic Imaging, Three-Dimensional Male Humans ROC Curve Positron-Emission Tomography Neural Networks, Computer Models, Biological Aniline Compounds Stilbenes Female Reproducibility of Results
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Detecting phishing websites using machine learning technique.

PloS one Oct 11, 2021
In recent years, advancements in Internet and cloud technologies have led to a significant increase in electronic trading in which consumers make online purchases and transactions. This growth leads to unauthorized access to users' sensitive informat...
Machine Learning Algorithms Learning Curve Internet Databases as Topic Computer Security
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Relation classification via BERT with piecewise convolution and focal loss.

PloS one Sep 10, 2021
Recent relation extraction models' architecture are evolved from the shallow neural networks to natural language model, such as convolutional neural networks or recurrent neural networks to Bert. However, these methods did not consider the semantic i...
Natural Language Processing Neural Networks, Computer Databases as Topic Deep Learning Algorithms Semantics Models, Theoretical
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BERTtoCNN: Similarity-preserving enhanced knowledge distillation for stance detection.

PloS one Sep 10, 2021
In recent years, text sentiment analysis has attracted wide attention, and promoted the rise and development of stance detection research. The purpose of stance detection is to determine the author's stance (favor or against) towards a specific targe...
Neural Networks, Computer Language Models, Theoretical Climate Change Databases as Topic Attitude Knowledge
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AAWS-Net: Anatomy-aware weakly-supervised learning network for breast mass segmentation.

PloS one Aug 30, 2021
Accurate segmentation of breast masses is an essential step in computer aided diagnosis of breast cancer. The scarcity of annotated training data greatly hinders the model's generalization ability, especially for the deep learning based methods. Howe...
Image Processing, Computer-Assisted Supervised Machine Learning Neural Networks, Computer Databases as Topic Female Breast Neoplasms Humans
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