AIMC Topic: Humans

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Machine learning to predict occult nodal metastasis in early oral squamous cell carcinoma.

Oral oncology Mar 16, 2019
OBJECTIVES: To develop and validate an algorithm to predict occult nodal metastasis in clinically node negative oral cavity squamous cell carcinoma (OCSCC) using machine learning. To compare algorithm performance to a model based on tumor depth of in...
Humans Carcinoma, Squamous Cell Neoplasm Grading Artificial Intelligence Aged Databases, Factual Mouth Neoplasms Machine Learning Sensitivity and Specificity Middle Aged Prognosis Algorithms Male ROC Curve Female Models, Theoretical Lymphatic Metastasis
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Automatic Sleep Staging Employing Convolutional Neural Networks and Cortical Connectivity Images.

IEEE transactions on neural networks and learning systems Mar 15, 2019
Understanding of the neuroscientific sleep mechanisms is associated with mental/cognitive and physical well-being and pathological conditions. A prerequisite for further analysis is the identification of the sleep macroarchitecture through manual sle...
Humans Neural Networks, Computer Algorithms Reproducibility of Results Young Adult Cerebral Cortex Deep Learning Wavelet Analysis Electroencephalography Sleep Stages Signal Processing, Computer-Assisted Adult Electroencephalography Phase Synchronization Automation Male Middle Aged
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Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT.

European radiology Mar 15, 2019
PURPOSE: To develop a deep learning-based computer-aided diagnosis (CAD) system for use in the CT diagnosis of cervical lymph node metastasis (LNM) in patients with thyroid cancer.
Retrospective Studies Tomography, X-Ray Computed Female Sensitivity and Specificity Humans Neural Networks, Computer Algorithms Neck Male Lymphatic Metastasis Diagnosis, Computer-Assisted Area Under Curve Deep Learning Radiographic Image Interpretation, Computer-Assisted Thyroid Neoplasms
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Multi-parametric MRI-based radiomics signature for discriminating between clinically significant and insignificant prostate cancer: Cross-validation of a machine learning method.

European journal of radiology Mar 15, 2019
PURPOSE: To evaluate the performance of a multi-parametric MRI (mp-MRI)-based radiomics signature for discriminating between clinically significant prostate cancer (csPCa) and insignificant PCa (ciPCa).
ROC Curve Magnetic Resonance Imaging Prostatic Neoplasms Neoplasm Grading Retrospective Studies Aged Humans Sensitivity and Specificity Machine Learning Male Algorithms
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Visual Exploration of Neural Document Embedding in Information Retrieval: Semantics and Feature Selection.

IEEE transactions on visualization and computer graphics Mar 15, 2019
Neural embeddings are widely used in language modeling and feature generation with superior computational power. Particularly, neural document embedding - converting texts of variable-length to semantic vector representations - has shown to benefit w...
Information Storage and Retrieval Semantics Humans Machine Learning Cluster Analysis Natural Language Processing
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Deep Learning versus Conventional Machine Learning for Detection of Healthcare-Associated Infections in French Clinical Narratives.

Methods of information in medicine Mar 15, 2019
OBJECTIVE: The objective of this article was to compare the performances of health care-associated infection (HAI) detection between deep learning and conventional machine learning (ML) methods in French medical reports.
Cross Infection Humans Neural Networks, Computer Hospitals Deep Learning ROC Curve France
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A machine learning based model for Out of Hospital cardiac arrest outcome classification and sensitivity analysis.

Resuscitation Mar 15, 2019
BACKGROUND: Out-of-hospital cardiac arrest (OHCA) affects nearly 400,000 people each year in the United States of which only 10% survive. Using data from the Cardiac Arrest Registry to Enhance Survival (CARES), and machine learning (ML) techniques, w...
Chicago Coronary Angiography Registries Outcome Assessment, Health Care Survival Analysis Nervous System Diseases Hypothermia, Induced Cardiopulmonary Resuscitation Out-of-Hospital Cardiac Arrest Humans Machine Learning Prognosis Latent Class Analysis Emergency Medical Services
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Prediction of aptamer-protein interacting pairs based on sparse autoencoder feature extraction and an ensemble classifier.

Mathematical biosciences Mar 15, 2019
Aptamer-protein interacting pairs play important roles in physiological functions and structural characterization. Identifying aptamer-protein interacting pairs is challenging and limited, despite of the tremendous applications of aptamers. Therefore...
Amino Acids Aptamers, Nucleotide Models, Biological Computational Biology Support Vector Machine Proteins Humans
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Bayesian Networks for Risk Prediction Using Real-World Data: A Tool for Precision Medicine.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Mar 15, 2019
OBJECTIVE: The fields of medicine and public health are undergoing a data revolution. An increasing availability of data has brought about a growing interest in machine-learning algorithms. Our objective is to present the reader with an introduction ...
Bayes Theorem Data Mining Heart Diseases Humans Neoplasms Machine Learning Treatment Outcome Models, Statistical Precision Medicine Data Interpretation, Statistical Risk Factors Risk Assessment
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Five simultaneous artificial intelligence data challenges on ultrasound, CT, and MRI.

Diagnostic and interventional imaging Mar 15, 2019
PURPOSE: The goal of this data challenge was to create a structured dynamic with the following objectives: (1) teach radiologists the new rules of General Data Protection Regulation (GDPR), while building a large multicentric prospective database of ...
Tomography, X-Ray Computed Breast Neoplasms Communication Thyroid Neoplasms Humans Artificial Intelligence Datasets as Topic Computer Security Tibial Meniscus Injuries Interprofessional Relations Ultrasonography Liver Neoplasms Magnetic Resonance Imaging Neoplasm Invasiveness Thyroid Cartilage Kidney Cortex
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