AIMC Topic: ROC Curve

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An investigation of machine learning methods in delta-radiomics feature analysis.

PloS one Dec 13, 2019
PURPOSE: This study aimed to investigate the effectiveness of using delta-radiomics to predict overall survival (OS) for patients with recurrent malignant gliomas treated by concurrent stereotactic radiosurgery and bevacizumab, and to investigate the...
Glioma Magnetic Resonance Imaging Radiosurgery Neoplasm Recurrence, Local Image Interpretation, Computer-Assisted Humans Machine Learning Algorithms ROC Curve
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A Deep Learning Model for Cell Growth Inhibition IC50 Prediction and Its Application for Gastric Cancer Patients.

International journal of molecular sciences Dec 12, 2019
Heterogeneity in intratumoral cancers leads to discrepancies in drug responsiveness, due to diverse genomics profiles. Thus, prediction of drug responsiveness is critical in precision medicine. So far, in drug responsiveness prediction, drugs' molecu...
Humans Computational Biology Dose-Response Relationship, Drug Cell Survival Models, Biological Antineoplastic Agents Neural Networks, Computer Deep Learning Artificial Intelligence Inhibitory Concentration 50 Cell Line, Tumor Stomach Neoplasms ROC Curve Drug Discovery
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Comparison of machine learning algorithms for the identification of acute exacerbations in chronic obstructive pulmonary disease.

Computer methods and programs in biomedicine Dec 9, 2019
OBJECTIVES: Identifying acute exacerbations in chronic obstructive pulmonary disease (AECOPDs) is of utmost importance for reducing the associated mortality and financial burden. In this research, the authors aimed to develop identification models fo...
Support Vector Machine Predictive Value of Tests Bayes Theorem Male Machine Learning Middle Aged Humans Female Algorithms ROC Curve Aged Electronic Health Records Logistic Models Pulmonary Disease, Chronic Obstructive Sensitivity and Specificity
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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...
ROC Curve Lymph Nodes Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Lymphatic Metastasis Humans Tomography, X-Ray Computed Reproducibility of Results Deep Learning Neoplasm Staging Extranodal Extension
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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...
Decision Trees Area Under Curve Radiography Bayes Theorem Urinary Bladder Diseases Washington Humans Rupture ROC Curve Urinary Bladder Machine Learning Logistic Models Databases, Factual Pelvic Bones Retrospective Studies Fractures, Bone Wounds, Nonpenetrating
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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 Adenocarcinoma in Situ ROC Curve Image Processing, Computer-Assisted Aged Lung Neoplasms Solitary Pulmonary Nodule Aged, 80 and over Artificial Intelligence Young Adult Retrospective Studies Adult Tomography, X-Ray Computed Humans Disease Progression Female Neural Networks, Computer Deep Learning Male Adolescent Middle Aged
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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...
Magnetic Resonance Imaging Breast Neoplasms Humans Axilla Radiopharmaceuticals Datasets as Topic Neural Networks, Computer ROC Curve Anatomic Landmarks Positron-Emission Tomography Female Image Processing, Computer-Assisted Fluorodeoxyglucose F18 Feasibility Studies Reproducibility of Results Lymphatic Metastasis Sentinel Lymph Node
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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...
Area Under Curve Walking Gait Accelerometry Case-Control Studies Wearable Electronic Devices ROC Curve Parkinson Disease Humans Aged Male Middle Aged Machine Learning Female
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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...
Models, Theoretical ROC Curve Humans Support Vector Machine Polymorphism, Single Nucleotide Machine Learning Asthma
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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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