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False Positive Reactions

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On the interpretability of machine learning-based model for predicting hypertension.

BMC medical informatics and decision making Jul 29, 2019
BACKGROUND: Although complex machine learning models are commonly outperforming the traditional simple interpretable models, clinicians find it hard to understand and trust these complex models due to the lack of intuition and explanation of their pr...
Machine Learning Female Risk Factors Male Hypertension Exercise Test Humans Datasets as Topic Cardiorespiratory Fitness False Positive Reactions
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Development and validation of a deep-learning algorithm for the detection of neovascular age-related macular degeneration from colour fundus photographs.

Clinical & experimental ophthalmology Jul 25, 2019
IMPORTANCE: Detection of early onset neovascular age-related macular degeneration (AMD) is critical to protecting vision.
Reproducibility of Results Sensitivity and Specificity Male Middle Aged Diagnosis, Computer-Assisted Deep Learning Humans Algorithms Retrospective Studies Female False Positive Reactions Fluorescein Angiography Wet Macular Degeneration Photography Ophthalmologists Choroidal Neovascularization ROC Curve Visual Acuity Predictive Value of Tests Area Under Curve Fundus Oculi
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A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning.

PloS one Jul 12, 2019
BACKGROUND: Detection of pulmonary nodules is an important aspect of an automatic detection system. Incomputer-aided diagnosis (CAD) systems, the ability to detect pulmonary nodules is highly important, which plays an important role in the diagnosis ...
False Positive Reactions Humans Lung Neoplasms Reference Standards Neural Networks, Computer Multiple Pulmonary Nodules Tomography, X-Ray Computed Solitary Pulmonary Nodule Diagnosis, Computer-Assisted Early Detection of Cancer Imaging, Three-Dimensional Radiographic Image Interpretation, Computer-Assisted
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AMC-Net: Asymmetric and multi-scale convolutional neural network for multi-label HPA classification.

Computer methods and programs in biomedicine Jul 9, 2019
BACKGROUND AND OBJECTIVES: The multi-label Human Protein Atlas (HPA) classification can yield a better understanding of human diseases and help doctors to enhance the automatic analysis of biomedical images. The existing automatic protein recognition...
Proteins Databases, Protein Microscopy, Fluorescence Microscopy Probability Neural Networks, Computer Algorithms Phenotype Reproducibility of Results Image Processing, Computer-Assisted Microtubules Pattern Recognition, Automated Cell Nucleus False Positive Reactions Humans
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Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study.

Eye (London, England) Jul 2, 2019
OBJECTIVES: To evaluate the performance of a deep learning based Artificial Intelligence (AI) software for detection of glaucoma from stereoscopic optic disc photographs, and to compare this performance to the performance of a large cohort of ophthal...
Optometrists Clinical Competence ROC Curve Europe Predictive Value of Tests Observer Variation Optic Disk Retrospective Studies Optic Nerve Diseases Humans Reproducibility of Results False Positive Reactions Artificial Intelligence Sensitivity and Specificity Photography Diagnosis, Computer-Assisted Ophthalmologists Deep Learning Glaucoma, Open-Angle
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Scale-space approximated convolutional neural networks for retinal vessel segmentation.

Computer methods and programs in biomedicine Jun 29, 2019
BACKGROUND AND OBJECTIVE: Retinal fundus images are widely used to diagnose retinal diseases and can potentially be used for early diagnosis and prevention of chronic vascular diseases and diabetes. While various automatic retinal vessel segmentation...
False Positive Reactions Humans Retinal Diseases Neural Networks, Computer Normal Distribution Deep Learning Algorithms Retinal Vessels ROC Curve Image Processing, Computer-Assisted Area Under Curve Signal Processing, Computer-Assisted Fundus Oculi
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Minimizing postprandial hypoglycemia in Type 1 diabetes patients using multiple insulin injections and capillary blood glucose self-monitoring with machine learning techniques.

Computer methods and programs in biomedicine Jun 27, 2019
BACKGROUND: Diabetic patients treated with intensive insulin therapies require a tight glycemic control and may benefit from advanced tools to predict blood glucose (BG) concentration levels and hypo/hyperglycemia events. Prediction systems using mac...
Capillaries Machine Learning Algorithms Computer Simulation Postprandial Period Retrospective Studies Blood Glucose Self-Monitoring Female False Positive Reactions Normal Distribution Insulin Infusion Systems Humans Blood Glucose Reproducibility of Results Insulin Adult Diabetes Mellitus, Type 1 Sensitivity and Specificity Hypoglycemic Agents Male Bayes Theorem Middle Aged Hypoglycemia
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Automatic Multi-Level In-Exhale Segmentation and Enhanced Generalized S-Transform for wheezing detection.

Computer methods and programs in biomedicine Jun 26, 2019
BACKGROUND AND OBJECTIVE: Wheezing is a common symptom of patients caused by asthma and chronic obstructive pulmonary diseases. Wheezing detection identifies wheezing lung sounds and helps physicians in diagnosis, monitoring, and treatment of pulmona...
Female Reproducibility of Results Adult Sensitivity and Specificity Male Support Vector Machine Monitoring, Physiologic Models, Statistical Signal Processing, Computer-Assisted Telemedicine Artifacts Humans Machine Learning Software Algorithms Medical Informatics Pattern Recognition, Automated False Positive Reactions Respiratory Sounds
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Neural networks versus Logistic regression for 30 days all-cause readmission prediction.

Scientific reports Jun 26, 2019
Heart failure (HF) is one of the leading causes of hospital admissions in the US. Readmission within 30 days after a HF hospitalization is both a recognized indicator for disease progression and a source of considerable financial burden to the health...
ROC Curve Logistic Models United States Predictive Value of Tests Area Under Curve Heart Failure Probability Patient Readmission False Positive Reactions Female Risk Aged Male Middle Aged Deep Learning Humans Neural Networks, Computer Machine Learning Algorithms
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Prediction of early colorectal cancer metastasis by machine learning using digital slide images.

Computer methods and programs in biomedicine Jun 22, 2019
BACKGROUND AND OBJECTIVES: Prediction of lymph node metastasis (LNM) for early colorectal cancer (CRC) is critical for determining treatment strategies after endoscopic resection. Some histologic parameters for predicting LNM have been established, b...
Aged Keratins Machine Learning Endoscopy Algorithms Lymph Nodes Humans Colorectal Neoplasms Retrospective Studies Lymphatic Metastasis Male Female Neoplasm Metastasis Middle Aged Risk Factors Immunohistochemistry False Negative Reactions False Positive Reactions
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