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ROC Curve

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Multi-Institutional Validation of Deep Learning for Pretreatment Identification of Extranodal Extension in Head and Neck Squamous Cell Carcinoma.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology Dec 9, 2019
PURPOSE: Extranodal extension (ENE) is a well-established poor prognosticator and an indication for adjuvant treatment escalation in patients with head and neck squamous cell carcinoma (HNSCC). Identification of ENE on pretreatment imaging represents...
Extranodal Extension Tomography, X-Ray Computed Reproducibility of Results Deep Learning ROC Curve Head and Neck Neoplasms Lymphatic Metastasis Neoplasm Staging Lymph Nodes Squamous Cell Carcinoma of Head and Neck Humans
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Identifying bladder rupture following traumatic pelvic fracture: A machine learning approach.

Injury Dec 9, 2019
INTRODUCTION: Bladder rupture following blunt pelvic trauma is rare though can have significant sequelae. We sought to determine whether machine learning could help predict the presence of bladder injury using certain factors at the time of presentat...
Washington Bayes Theorem Rupture Urinary Bladder Urinary Bladder Diseases Fractures, Bone Decision Trees Area Under Curve Radiography Wounds, Nonpenetrating Humans ROC Curve Machine Learning Logistic Models Databases, Factual Pelvic Bones Retrospective Studies
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A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images.

European radiology Dec 6, 2019
OBJECTIVE: To develop a deep learning-based artificial intelligence (AI) scheme for predicting the likelihood of the ground-glass nodule (GGN) detected on CT images being invasive adenocarcinoma (IA) and also compare the accuracy of this AI scheme wi...
Neoplasm Invasiveness Radiologists Feasibility Studies Adenocarcinoma of Lung ROC Curve Image Processing, Computer-Assisted Lung Neoplasms Solitary Pulmonary Nodule Adenocarcinoma in Situ Aged, 80 and over Young Adult Adult Male Middle Aged Disease Progression Deep Learning Adolescent Retrospective Studies Tomography, X-Ray Computed Female Aged Humans Neural Networks, Computer Artificial Intelligence
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Convolutional Neural Network Detection of Axillary Lymph Node Metastasis Using Standard Clinical Breast MRI.

Clinical breast cancer Dec 5, 2019
BACKGROUND: Axillary lymph node status is important for breast cancer staging and treatment planning as the majority of breast cancer metastasis spreads through the axillary lymph nodes. There is currently no reliable noninvasive imaging method to de...
Sentinel Lymph Node Breast Neoplasms Magnetic Resonance Imaging ROC Curve Radiopharmaceuticals Axilla Humans Image Processing, Computer-Assisted Positron-Emission Tomography Neural Networks, Computer Anatomic Landmarks Lymphatic Metastasis Datasets as Topic Female Feasibility Studies Fluorodeoxyglucose F18 Reproducibility of Results
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Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson's Disease.

Sensors (Basel, Switzerland) Dec 5, 2019
Early diagnosis of Parkinson's diseases (PD) is challenging; applying machine learning (ML) models to gait characteristics may support the classification process. Comparing performance of ML models used in various studies can be problematic due to di...
Humans Machine Learning Female Aged Male Middle Aged Case-Control Studies Walking Wearable Electronic Devices Gait ROC Curve Accelerometry Parkinson Disease Area Under Curve
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Machine learning approach to single nucleotide polymorphism-based asthma prediction.

PloS one Dec 4, 2019
Machine learning (ML) is poised as a transformational approach uniquely positioned to discover the hidden biological interactions for better prediction and diagnosis of complex diseases. In this work, we integrated ML-based models for feature selecti...
ROC Curve Polymorphism, Single Nucleotide Humans Models, Theoretical Machine Learning Asthma Support Vector Machine
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Multi-view ensemble learning with empirical kernel for heart failure mortality prediction.

International journal for numerical methods in biomedical engineering Dec 2, 2019
Heart failure (HF) refers to the heart's inability to pump sufficient blood to maintain the body's needs, which has a very serious impact on human health. In recent years, the prevalence of HF has remained high. This paper proposes a multi-view ensem...
Male ROC Curve Area Under Curve Heart Failure Databases as Topic Humans Machine Learning Algorithms Female
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A hybrid self-attention deep learning framework for multivariate sleep stage classification.

BMC bioinformatics Dec 2, 2019
BACKGROUND: Sleep is a complex and dynamic biological process characterized by different sleep patterns. Comprehensive sleep monitoring and analysis using multivariate polysomnography (PSG) records has achieved significant efforts to prevent sleep-re...
ROC Curve Electroencephalography Databases as Topic Multivariate Analysis Humans Algorithms Deep Learning Polysomnography Sleep Stages
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Multimodal deep representation learning for protein interaction identification and protein family classification.

BMC bioinformatics Dec 2, 2019
BACKGROUND: Protein-protein interactions(PPIs) engage in dynamic pathological and biological procedures constantly in our life. Thus, it is crucial to comprehend the PPIs thoroughly such that we are able to illuminate the disease occurrence, achieve ...
ROC Curve Protein Binding Proteins Algorithms Humans Area Under Curve Databases, Protein Reproducibility of Results Neural Networks, Computer Animals Deep Learning Amino Acid Sequence Saccharomyces cerevisiae Protein Interaction Mapping
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DeepEP: a deep learning framework for identifying essential proteins.

BMC bioinformatics Dec 2, 2019
BACKGROUND: Essential proteins are crucial for cellular life and thus, identification of essential proteins is an important topic and a challenging problem for researchers. Recently lots of computational approaches have been proposed to handle this p...
Deep Learning Humans ROC Curve Neural Networks, Computer Protein Interaction Maps Machine Learning Proteins Algorithms
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