AIMC Topic:
Databases, Factual

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Multiple retrieval case-based reasoning for incomplete datasets.

Journal of biomedical informatics Feb 13, 2019
The performance of case-based reasoning (CBR) depends on an accurate ranking of similar cases in the retrieval phase that affects all subsequent phases and profits from the potential of large databases. Unfortunately, growing databases come along wit...
Artificial Intelligence Humans Databases, Factual Diagnosis, Computer-Assisted Decision Support Systems, Clinical
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DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning.

Scientific reports Feb 12, 2019
Traditional methods for assessing illness severity and predicting in-hospital mortality among critically ill patients require time-consuming, error-prone calculations using static variable thresholds. These methods do not capitalize on the emerging a...
Hospital Mortality Longitudinal Studies Decision Making Area Under Curve Probability Critical Care Organ Dysfunction Scores Severity of Illness Index Deep Learning Length of Stay Adolescent Adult Male Middle Aged Humans Intensive Care Units Databases, Factual Retrospective Studies Female Critical Illness Aged Young Adult
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Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification.

IEEE transactions on medical imaging Feb 8, 2019
Automatic and accurate classification of retinal optical coherence tomography (OCT) images is essential to assist ophthalmologist in the diagnosis and grading of macular diseases. Clinically, ophthalmologists usually diagnose macular diseases accordi...
Tomography, Optical Coherence Retina Retinal Diseases Humans Neural Networks, Computer Databases, Factual
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Predicting Human Saccadic Scanpaths Based on Iterative Representation Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 7, 2019
Visual attention is a dynamic process of scene exploration and information acquisition. However, existing research on attention modeling has concentrated on estimating static salient locations. In contrast, dynamic attributes presented by saccade hav...
Image Processing, Computer-Assisted Models, Neurological Humans Adult Attention Male Algorithms Saccades Deep Learning Databases, Factual Female Young Adult
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DG-GL: Differential geometry-based geometric learning of molecular datasets.

International journal for numerical methods in biomedical engineering Feb 7, 2019
MOTIVATION: Despite its great success in various physical modeling, differential geometry (DG) has rarely been devised as a versatile tool for analyzing large, diverse, and complex molecular and biomolecular datasets because of the limited understand...
Machine Learning Databases, Factual
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Predictive Abilities of Machine Learning Techniques May Be Limited by Dataset Characteristics: Insights From the UNOS Database.

Journal of cardiac failure Feb 6, 2019
BACKGROUND: Traditional statistical approaches to prediction of outcomes have drawbacks when applied to large clinical databases. It is hypothesized that machine learning methodologies might overcome these limitations by considering higher-dimensiona...
Tissue and Organ Procurement Heart Transplantation Humans Forecasting Neural Networks, Computer Machine Learning Databases, Factual Survival Rate United States
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An Intelligent Clinical Decision Support System for Preoperative Prediction of Lymph Node Metastasis in Gastric Cancer.

Journal of the American College of Radiology : JACR Feb 4, 2019
PURPOSE: The aim of this study was to develop and validate a computational clinical decision support system (DSS) on the basis of CT radiomics features for the prediction of lymph node (LN) metastasis in gastric cancer (GC) using machine learning-bas...
Middle Aged ROC Curve Decision Support Systems, Clinical Lymph Nodes Aged Stomach Neoplasms Male Neoplasm Staging Gastrectomy Multidetector Computed Tomography Preoperative Care Lymphatic Metastasis Neoplasm Invasiveness Predictive Value of Tests Humans Machine Learning Databases, Factual Prognosis Retrospective Studies Clinical Decision-Making Female
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Deep convolutional neural network for the diagnosis of thyroid nodules on ultrasound.

Head & neck Feb 4, 2019
BACKGROUND: We designed a deep convolutional neural network (CNN) to diagnose thyroid malignancy on ultrasound (US) and compared the diagnostic performance of CNN with that of experienced radiologists.
Humans Neural Networks, Computer Observer Variation Cohort Studies Ultrasonography, Doppler Sensitivity and Specificity Databases, Factual Image Processing, Computer-Assisted Thyroid Neoplasms Male Retrospective Studies Neoplasm Invasiveness Thyroid Nodule Middle Aged Female Area Under Curve ROC Curve Adult Neoplasm Staging
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Improving Accuracy of Lung Nodule Classification Using Deep Learning with Focal Loss.

Journal of healthcare engineering Feb 4, 2019
Early detection and classification of pulmonary nodules using computer-aided diagnosis (CAD) systems is useful in reducing mortality rates of lung cancer. In this paper, we propose a new deep learning method to improve classification accuracy of pulm...
Early Detection of Cancer Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Deep Learning Humans Lung Neoplasms Neural Networks, Computer Solitary Pulmonary Nodule Databases, Factual
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Implicit Irregularity Detection Using Unsupervised Learning on Daily Behaviors.

IEEE journal of biomedical and health informatics Feb 1, 2019
The irregularity detection of daily behaviors for the elderly is an important issue in homecare. Plenty of mechanisms have been developed to detect the health condition of the elderly based on the explicit irregularity of several biomedical parameter...
Home Care Services Aged Humans Monitoring, Physiologic Algorithms Unsupervised Machine Learning Databases, Factual Human Activities
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