AIMC Topic: ROC Curve

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Deep learning algorithm for surveillance of pneumothorax after lung biopsy: a multicenter diagnostic cohort study.

European radiology Mar 11, 2020
OBJECTIVES: Pneumothorax is the most common and potentially life-threatening complication arising from percutaneous lung biopsy. We evaluated the performance of a deep learning algorithm for detection of post-biopsy pneumothorax in chest radiographs ...
Male Middle Aged Lung Deep Learning Humans Cohort Studies Algorithms Female Retrospective Studies Aged Adult Biopsy, Needle Sensitivity and Specificity ROC Curve Pneumothorax Area Under Curve Radiologists Radiography, Thoracic
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A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis.

BMC bioinformatics Mar 11, 2020
BACKGROUND: Screening programs use mammography as primary diagnostic tool for detecting breast cancer at an early stage. The diagnosis of some lesions, such as microcalcifications, is still difficult today for radiologists. In this paper, we proposed...
Machine Learning Algorithms Databases, Factual Female Breast Neoplasms Humans Breast ROC Curve Calcinosis Mammography Area Under Curve
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DePicT Melanoma Deep-CLASS: a deep convolutional neural networks approach to classify skin lesion images.

BMC bioinformatics Mar 11, 2020
BACKGROUND: Melanoma results in the vast majority of skin cancer deaths during the last decades, even though this disease accounts for only one percent of all skin cancers' instances. The survival rates of melanoma from early to terminal stages is mo...
Dermoscopy Humans Deep Learning Databases, Factual ROC Curve Melanoma Area Under Curve Skin Neoplasms
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Prediction of tumor location in prostate cancer tissue using a machine learning system on gene expression data.

BMC bioinformatics Mar 11, 2020
BACKGROUND: Finding the tumor location in the prostate is an essential pathological step for prostate cancer diagnosis and treatment. The location of the tumor - the laterality - can be unilateral (the tumor is affecting one side of the prostate), or...
Ribonuclease P ROC Curve Prostatic Neoplasms Humans Gene Expression Regulation, Neoplastic Machine Learning Prostate Serine-Arginine Splicing Factors Magnetic Resonance Imaging Biomarkers, Tumor Autoantigens Area Under Curve Male Phosphoproteins
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Privacy-preserving distributed learning of radiomics to predict overall survival and HPV status in head and neck cancer.

Scientific reports Mar 11, 2020
A major challenge in radiomics is assembling data from multiple centers. Sharing data between hospitals is restricted by legal and ethical regulations. Distributed learning is a technique, enabling training models on multicenter data without data lea...
Image Interpretation, Computer-Assisted Papillomaviridae Papillomavirus Infections Head and Neck Neoplasms Privacy Humans Data Accuracy Prognosis Tomography, X-Ray Computed Retrospective Studies Survival Rate Deep Learning ROC Curve
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Can a machine-learning model improve the prediction of nodal stage after a positive sentinel lymph node biopsy in breast cancer?

Acta oncologica (Stockholm, Sweden) Mar 9, 2020
The current standard for evaluating axillary nodal burden in clinically node negative breast cancer is sentinel lymph node biopsy (SLNB). However, the accuracy of SLNB to detect nodal stage N2-3 remains debatable. Nomograms can help the decision-mak...
Axilla Regression Analysis Breast Tumor Burden Carcinoma, Ductal, Breast Nomograms Lymphatic Metastasis Neoplasm Invasiveness Lymph Node Excision Sentinel Lymph Node Biopsy, Fine-Needle Sentinel Lymph Node Biopsy Female Aged Aged, 80 and over Adult Humans Breast Neoplasms Machine Learning Middle Aged Retrospective Studies ROC Curve Logistic Models Lymph Nodes
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Early prediction of circulatory failure in the intensive care unit using machine learning.

Nature medicine Mar 9, 2020
Intensive-care clinicians are presented with large quantities of measurements from multiple monitoring systems. The limited ability of humans to process complex information hinders early recognition of patient deterioration, and high numbers of monit...
Databases as Topic Humans Time Factors Machine Learning ROC Curve Prognosis Models, Theoretical Intensive Care Units Shock Reproducibility of Results Risk Factors Cohort Studies
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A Generic Design of Driver Drowsiness and Stress Recognition Using MOGA Optimized Deep MKL-SVM.

Sensors (Basel, Switzerland) Mar 7, 2020
Driver drowsiness and stress are major causes of traffic deaths and injuries, which ultimately wreak havoc on world economic loss. Researchers are in full swing to develop various algorithms for both drowsiness and stress recognition. In contrast to ...
Humans Algorithms Stress, Psychological ROC Curve Support Vector Machine Automobile Driving Sleepiness
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Recognition of Common Non-Normal Walking Actions Based on Relief-F Feature Selection and Relief-Bagging-SVM.

Sensors (Basel, Switzerland) Mar 6, 2020
Action recognition algorithms are widely used in the fields of medical health and pedestrian dead reckoning (PDR). The classification and recognition of non-normal walking actions and normal walking actions are very important for improving the accura...
Acceleration Pattern Recognition, Automated Humans Support Vector Machine Reproducibility of Results Decision Trees Time Factors Principal Component Analysis ROC Curve Signal Processing, Computer-Assisted Walking
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Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer.

Nature communications Mar 6, 2020
Accurate identification of axillary lymph node (ALN) involvement in patients with early-stage breast cancer is important for determining appropriate axillary treatment options and therefore avoiding unnecessary axillary surgery and complications. Her...
Deep Learning Ultrasonography ROC Curve Image Processing, Computer-Assisted Lymph Nodes Humans Breast Aged, 80 and over Prospective Studies Lymphatic Metastasis Mastectomy Lymph Node Excision Prognosis Adult Reference Standards Axilla Female Breast Neoplasms Preoperative Period Neoplasm Staging Aged Middle Aged Elasticity Imaging Techniques
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