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A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records
BackgroundSupervised machine learning models have been widely used to predict and get insight into diseases by classifying patients based on personal...
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Hybrid Attention Knowledge Fusion Network for Automated Medical Code Assignment
Automated medical code assignment aims to allocate disease and procedure codes to patient's discharge summaries, which is crucial for health...
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DeepARV: ensemble deep learning to predict drug-drug interaction of clinical relevance with antiretroviral therapy
Drug-drug interaction (DDI) may result in clinical toxicity or treatment failure of antiretroviral therapy (ARV) or comedications. Despite the high...
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Multi-expert ensemble ECG diagnostic algorithm using mutually exclusive–symbiotic correlation between 254 hierarchical multiple labels
Electrocardiograms (ECGs) are a cheap and convenient means of assessing heart health and provide an important basis for diagnosis and treatment by...
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Analysis of the Human Protein Atlas Weakly Supervised Single-Cell Classification competition
While spatial proteomics by fluorescence imaging has quickly become an essential discovery tool for researchers, fast and scalable methods to...
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Gaussian noise up-sampling is better suited than SMOTE and ADASYN for clinical decision making
Clinical data sets have very special properties and suffer from many caveats in machine learning. They typically show a high-class imbalance, have a...
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SSELM-neg: spherical search-based extreme learning machine for drug–target interaction prediction
BackgroundThe experimental verification of a drug discovery process is expensive and time-consuming. Therefore, efficiently and effectively...
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Recognition of Conformational States of a G Protein-Coupled Receptor from Molecular Dynamic Simulations Using Sampling Techniques
Protein structures are complex and dynamic entities relevant to many biological processes. G-protein-coupled receptors in particular are a...
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A Multi-scale Attention Network for Sleep Arousal Detection with Single-Channel ECG
Arousal detection is of great importance to measure sleep quality. Traditional diagnosis of arousal that relies on polysomnography (PSG) signals is...
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Effect of different decay classes of Eucalyptus stump substrates on microbial resource limitation and carbon-use efficiency
AimsThe effect of Eucalyptus stump substrate decomposition on microbial resource limitation driving factors are unclear.
MethodsEucalyptus stump...
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Deep learning approach for early prediction of COVID-19 mortality using chest X-ray and electronic health records
BackgroundAn artificial-intelligence (AI) model for predicting the prognosis or mortality of coronavirus disease 2019 (COVID-19) patients will allow...
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Dosage imbalance of B- and C-class genes causes petaloid-stamen relating to F1 hybrid variation
BackgroundGreat advances have been achieved in our understanding of flower development and evolution since the establishment of the ABC model....
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Current sequence-based models capture gene expression determinants in promoters but mostly ignore distal enhancers
BackgroundThe largest sequence-based models of transcription control to date are obtained by predicting genome-wide gene regulatory assays across the...
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Accurate classification of white blood cells by coupling pre-trained ResNet and DenseNet with SCAM mechanism
BackgroundVia counting the different kinds of white blood cells (WBCs), a good quantitative description of a person’s health status is obtained, thus...
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Automated annotation of rare-cell types from single-cell RNA-sequencing data through synthetic oversampling
BackgroundThe research landscape of single-cell and single-nuclei RNA-sequencing is evolving rapidly. In particular, the area for the detection of...
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Unexpected inhibition of the lipid kinase PIKfyve reveals an epistatic role for p38 MAPKs in endolysosomal fission and volume control
p38 mitogen-activated protein kinases (MAPKs) participate in autophagic signaling; and previous reports suggest that pyridinyl imidazole p38 MAPK...
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Application of machine learning and acoustic predation tags to classify migration fate of Atlantic salmon smolts
Mortality and predation of tagged fishes present a serious challenge to interpreting results of acoustic telemetry studies. There is a need for...
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Deep Convolutional Neural Networks with Residual Blocks for Wafer Map Defect Pattern Recognition
Different deep convolution neural network (DCNN) models have been proposed for wafer map pattern identification and classification tasks in previous...
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Epigenetic Changes in Aging: The Contribution of SIRT1 to Longevity
Aging encompasses the gradual and intrinsic progression of physical, psychological, and functional changes that occur in living organisms over time....