AIMC Topic: Probability

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TS-GOEA: a web tool for tissue-specific gene set enrichment analysis based on gene ontology.

BMC bioinformatics Nov 25, 2019
BACKGROUND: The Gene Ontology (GO) knowledgebase is the world's largest source of information on the functions of genes. Since the beginning of GO project, various tools have been developed to perform GO enrichment analysis experiments. GO enrichment...
Gene Ontology Blood Platelet Disorders Internet Probability Humans Software Computational Biology
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Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy.

Journal of translational medicine Nov 21, 2019
BACKGROUND: Secondary and retrospective use of hospital-hosted clinical data provides a time- and cost-efficient alternative to prospective clinical trials for biomarker development. This study aims to create a retrospective clinical dataset of Magne...
Machine Learning Algorithms Biomarkers Infant, Newborn Treatment Outcome Magnetic Resonance Imaging Humans International Classification of Diseases Probability Clinical Trials as Topic Hypoxia-Ischemia, Brain
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Making the 'invisible' visible: transforming the detection of intimate partner violence.

BMJ quality & safety Nov 20, 2019
Risk Wounds and Injuries Intimate Partner Violence Adolescent Radiology Artificial Intelligence Prevalence Probability Electronic Health Records Diagnosis, Computer-Assisted Female Humans Adult Male Middle Aged
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Machine learning probability calibration for high-risk clinical decision-making.

The Australian and New Zealand journal of psychiatry Nov 9, 2019
Clinical Decision-Making Probability Calibration Humans Machine Learning
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Affinity and class probability-based fuzzy support vector machine for imbalanced data sets.

Neural networks : the official journal of the International Neural Network Society Nov 2, 2019
The learning problem from imbalanced data sets poses a major challenge in data mining community. Although conventional support vector machine can generally show relatively robust performance in dealing with the classification problems of imbalanced d...
Probability Cluster Analysis Data Mining Humans Algorithms Support Vector Machine
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Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer.

Journal of critical care Nov 2, 2019
PURPOSE: To develop and compare the predictive performance of machine-learning algorithms to estimate the risk of quality-adjusted life year (QALY) lower than or equal to 30 days (30-day QALY).
Humans Machine Learning Critical Illness Intensive Care Units Female Algorithms Prospective Studies Prognosis Probability Pattern Recognition, Automated False Positive Reactions Area Under Curve Signal Processing, Computer-Assisted Hospitals, Public Middle Aged Brazil Neoplasms Quality of Life ROC Curve Decision Trees Adult Hospitalization Sensitivity and Specificity Aged Male
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Predicting protein inter-residue contacts using composite likelihood maximization and deep learning.

BMC bioinformatics Oct 29, 2019
BACKGROUND: Accurate prediction of inter-residue contacts of a protein is important to calculating its tertiary structure. Analysis of co-evolutionary events among residues has been proved effective in inferring inter-residue contacts. The Markov ran...
Algorithms Deep Learning Proteins Probability
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Noise-boosted bidirectional backpropagation and adversarial learning.

Neural networks : the official journal of the International Neural Network Society Oct 17, 2019
Bidirectional backpropagation trains a neural network with backpropagation in both the backward and forward directions using the same synaptic weights. Special injected noise can then improve the algorithm's training time and accuracy because backpro...
Feedback Probability Neural Networks, Computer
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Triplet Deep Hashing with Joint Supervised Loss Based on Deep Neural Networks.

Computational intelligence and neuroscience Oct 9, 2019
In recent years, with the explosion of multimedia data from search engines, social media, and e-commerce platforms, there is an urgent need for fast retrieval methods for massive big data. Hashing is widely used in large-scale and high-dimensional da...
Probability Algorithms Humans Search Engine Databases, Factual Neural Networks, Computer Image Processing, Computer-Assisted
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A segmentation method combining probability map and boundary based on multiple fully convolutional networks and repetitive training.

Physics in medicine and biology Sep 11, 2019
Cell nuclei image segmentation technology can help researchers observe each cell's stress response to drug treatment. However, it is still a challenge to accurately segment the adherent cell nuclei. At present, image segmentation based on a fully con...
Cell Nucleus Humans Neural Networks, Computer Image Processing, Computer-Assisted Probability
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