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Comparison of machine learning models for the prediction of mortality of patients with unplanned extubation in intensive care units.

Scientific reports Nov 20, 2018
Unplanned extubation (UE) can be associated with fatal outcome; however, an accurate model for predicting the mortality of UE patients in intensive care units (ICU) is lacking. Therefore, we aim to compare the performances of various machine learning...
Male Middle Aged Hospital Mortality ROC Curve Logistic Models Support Vector Machine Taiwan APACHE Intensive Care Units Humans Female Machine Learning Aged Aged, 80 and over Airway Extubation Glasgow Coma Scale
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Deep learning architectures for prediction of nucleosome positioning from sequences data.

BMC bioinformatics Nov 20, 2018
BACKGROUND: Nucleosomes are DNA-histone complex, each wrapping about 150 pairs of double-stranded DNA. Their function is fundamental for one of the primary functions of Chromatin i.e. packing the DNA into the nucleus of the Eukaryote cells. Several b...
Reproducibility of Results Animals Deep Learning Humans ROC Curve Neural Networks, Computer Base Sequence Saccharomyces cerevisiae Databases, Nucleic Acid Nucleosomes
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Automated detection of imaging features of disproportionately enlarged subarachnoid space hydrocephalus using machine learning methods.

NeuroImage. Clinical Nov 19, 2018
OBJECTIVE: Create an automated classifier for imaging characteristics of disproportionately enlarged subarachnoid space hydrocephalus (DESH), a neuroimaging phenotype of idiopathic normal pressure hydrocephalus (iNPH).
Humans Machine Learning Brain Hydrocephalus, Normal Pressure Male ROC Curve Female Subarachnoid Space Support Vector Machine Aged Magnetic Resonance Imaging Aged, 80 and over Sensitivity and Specificity
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Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy.

Gastrointestinal endoscopy Nov 16, 2018
BACKGROUND AND AIMS: According to guidelines, endoscopic resection should only be performed for patients whose early gastric cancer invasion depth is within the mucosa or submucosa of the stomach regardless of lymph node involvement. The accurate pre...
Gastroscopy Gastric Mucosa Endoscopic Mucosal Resection Serous Membrane Artificial Intelligence Image Processing, Computer-Assisted Female Neoplasm Invasiveness Stomach Neoplasms Sensitivity and Specificity Carcinoma Gastrectomy Humans Male Neural Networks, Computer Diagnosis, Computer-Assisted ROC Curve
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Development of an artificial intelligence system to classify pathology and clinical features on retinal fundus images.

Clinical & experimental ophthalmology Nov 15, 2018
IMPORTANCE: Artificial intelligence (AI) algorithms are under development for use in diabetic retinopathy photo screening pathways. To be clinically acceptable, such systems must also be able to classify other fundus abnormalities and clinical featur...
Glaucoma Artificial Intelligence Databases, Factual Retrospective Studies Humans Fundus Oculi Diabetic Retinopathy Reproducibility of Results Retina Sensitivity and Specificity Macular Edema ROC Curve Macular Degeneration Area Under Curve Photography
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Learning protein binding affinity using privileged information.

BMC bioinformatics Nov 15, 2018
BACKGROUND: Determining protein-protein interactions and their binding affinity are important in understanding cellular biological processes, discovery and design of novel therapeutics, protein engineering, and mutagenesis studies. Due to the time an...
ROC Curve Protein Binding Computational Biology Support Vector Machine Machine Learning Algorithms Reproducibility of Results Proteins Amino Acid Sequence Ligands
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Optimal intensive care outcome prediction over time using machine learning.

PloS one Nov 14, 2018
BACKGROUND: Prognostication is an essential tool for risk adjustment and decision making in the intensive care unit (ICU). Research into prognostication in ICU has so far been limited to data from admission or the first 24 hours. Most ICU admissions ...
Patient Admission Feasibility Studies Critical Care Datasets as Topic Male Intensive Care Units Hospital Mortality Humans APACHE Clinical Decision-Making Middle Aged ROC Curve Machine Learning Risk Assessment Female Decision Support Systems, Clinical Sepsis Prognosis Aged Logistic Models Retrospective Studies
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Prediction of early metastatic disease in experimental breast cancer bone metastasis by combining PET/CT and MRI parameters to a Model-Averaged Neural Network.

Bone Nov 13, 2018
Macrometastases in bone are preceded by bone marrow invasion of disseminated tumor cells. This study combined functional imaging parameters from FDG-PET/CT and MRI in a rat model of breast cancer bone metastases to a Model-averaged Neural Network (av...
Bone Neoplasms Mammary Neoplasms, Experimental Positron Emission Tomography Computed Tomography Models, Biological Cell Line, Tumor ROC Curve Rats Magnetic Resonance Imaging Tumor Burden Humans Neural Networks, Computer Female Animals
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Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs.

Radiology Nov 13, 2018
Purpose To assess the ability of convolutional neural networks (CNNs) to enable high-performance automated binary classification of chest radiographs. Materials and Methods In a retrospective study, 216 431 frontal chest radiographs obtained between ...
Humans Neural Networks, Computer Retrospective Studies Female Male Radiographic Image Interpretation, Computer-Assisted Lung Radiography, Thoracic ROC Curve Radiologists
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Machine Learning Distinguishes with High Accuracy between Pan-Assay Interference Compounds That Are Promiscuous or Represent Dark Chemical Matter.

Journal of medicinal chemistry Nov 13, 2018
Assay interference compounds give rise to false-positives and cause substantial problems in medicinal chemistry. Nearly 500 compound classes have been designated as pan-assay interference compounds (PAINS), which typically occur as substructures in o...
Drug Discovery ROC Curve Computational Biology Models, Statistical Machine Learning
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