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Discriminating early- and late-stage cancers using multiple kernel learning on gene sets.

Bioinformatics (Oxford, England) Jul 1, 2018
MOTIVATION: Identifying molecular mechanisms that drive cancers from early to late stages is highly important to develop new preventive and therapeutic strategies. Standard machine learning algorithms could be used to discriminate early- and late-sta...
Neoplasm Staging Neoplasms Genome, Human Gene Expression Profiling Sequence Analysis, RNA Humans Support Vector Machine Machine Learning Metabolic Networks and Pathways Female Male
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Classifying tumors by supervised network propagation.

Bioinformatics (Oxford, England) Jul 1, 2018
MOTIVATION: Network propagation has been widely used to aggregate and amplify the effects of tumor mutations using knowledge of molecular interaction networks. However, propagating mutations through interactions irrelevant to cancer leads to erosion ...
Signal Transduction Glioblastoma Humans Mutation Female Software Supervised Machine Learning Breast Neoplasms Neoplasms Protein Interaction Maps Computational Biology
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Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks.

JAMA ophthalmology Jul 1, 2018
IMPORTANCE: Retinopathy of prematurity (ROP) is a leading cause of childhood blindness worldwide. The decision to treat is primarily based on the presence of plus disease, defined as dilation and tortuosity of retinal vessels. However, clinical diagn...
Humans Neural Networks, Computer Algorithms Female ROC Curve Infant, Newborn Reproducibility of Results Image Interpretation, Computer-Assisted Sensitivity and Specificity Photography Infant, Premature Male Retinal Vessels Gestational Age Infant Retinopathy of Prematurity Deep Learning
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Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data.

Annals of the American Thoracic Society Jul 1, 2018
RATIONALE: Patients transferred from the intensive care unit to the wards who are later readmitted to the intensive care unit have increased length of stay, healthcare expenditure, and mortality compared with those who are never readmitted. Improving...
Male Middle Aged Risk Assessment Time Factors ROC Curve Follow-Up Studies Patient Readmission Illinois Retrospective Studies Critical Illness Intensive Care Units Electronic Health Records Female Humans Machine Learning
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Deep-learning Classifier With an Ultrawide-field Scanning Laser Ophthalmoscope Detects Glaucoma Visual Field Severity.

Journal of glaucoma Jul 1, 2018
PURPOSE: To evaluate the accuracy of detecting glaucoma visual field defect severity using deep-learning (DL) classifier with an ultrawide-field scanning laser ophthalmoscope.
Humans Male Middle Aged Vision Disorders Severity of Illness Index Aged Image Interpretation, Computer-Assisted Deep Learning Adult Visual Fields Glaucoma Microscopy, Confocal Sensitivity and Specificity Visual Field Tests Retrospective Studies Cross-Sectional Studies Ophthalmoscopes Female Intraocular Pressure Reproducibility of Results
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Automatic recognition of holistic functional brain networks using iteratively optimized convolutional neural networks (IO-CNN) with weak label initialization.

Medical image analysis Jul 1, 2018
fMRI data decomposition techniques have advanced significantly from shallow models such as Independent Component Analysis (ICA) and Sparse Coding and Dictionary Learning (SCDL) to deep learning models such Deep Belief Networks (DBN) and Convolutional...
Child, Preschool Child Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Mapping Autistic Disorder Female Adult Male Middle Aged Adolescent Humans Neural Networks, Computer Software Algorithms
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Inclusion of Unstructured Clinical Text Improves Early Prediction of Death or Prolonged ICU Stay.

Critical care medicine Jul 1, 2018
OBJECTIVES: Early prediction of undesired outcomes among newly hospitalized patients could improve patient triage and prompt conversations about patients' goals of care. We evaluated the performance of logistic regression, gradient boosting machine, ...
Male Middle Aged Length of Stay Hospital Mortality Natural Language Processing Retrospective Studies Intensive Care Units Female Aged Patient Care Planning Humans Machine Learning Decision Support Techniques
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The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model.

Critical care medicine Jul 1, 2018
OBJECTIVES: To develop an acute kidney injury risk prediction model using electronic health record data for longitudinal use in hospitalized patients.
Acute Kidney Injury Electronic Health Records Female Reproducibility of Results Male Humans Machine Learning Algorithms Renal Replacement Therapy Creatinine Middle Aged ROC Curve Models, Statistical Area Under Curve
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Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity: The Mobile Parkinson Disease Score.

JAMA neurology Jul 1, 2018
IMPORTANCE: Current Parkinson disease (PD) measures are subjective, rater-dependent, and assessed in clinic. Smartphones can measure PD features, yet no smartphone-derived rating score exists to assess motor symptom severity in real-world settings.
Gait Analysis Voice Dopamine Agents Male Middle Aged Mobile Applications Humans Severity of Illness Index Machine Learning Parkinson Disease Smartphone Female Postural Balance Aged Reaction Time Gait
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Improving Hip-Worn Accelerometer Estimates of Sitting Using Machine Learning Methods.

Medicine and science in sports and exercise Jul 1, 2018
PURPOSE: This study aimed to improve estimates of sitting time from hip-worn accelerometers used in large cohort studies by using machine learning methods developed on free-living activPAL data.
Machine Learning Algorithms Monitoring, Ambulatory Female Accelerometry Cross-Sectional Studies Humans Aged Sitting Position Middle Aged Breast Neoplasms Hip Exercise Survivors Pilot Projects Thigh
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