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ROC Curve

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Robust whole slide image analysis for cervical cancer screening using deep learning.

Nature communications Sep 24, 2021
Computer-assisted diagnosis is key for scaling up cervical cancer screening. However, current recognition algorithms perform poorly on whole slide image (WSI) analysis, fail to generalize for diverse staining and imaging, and show sub-optimal clinica...
Humans Neural Networks, Computer Female Reproducibility of Results Cytodiagnosis ROC Curve Uterine Cervical Neoplasms Image Processing, Computer-Assisted Diagnosis, Computer-Assisted Early Detection of Cancer Deep Learning
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Comparing classification models-a practical tutorial.

Journal of computer-aided molecular design Sep 22, 2021
While machine learning models have become a mainstay in Cheminformatics, the field has yet to agree on standards for model evaluation and comparison. In many cases, authors compare methods by performing multiple folds of cross-validation and reportin...
ROC Curve Machine Learning
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Deep learning versus ophthalmologists for screening for glaucoma on fundus examination: A systematic review and meta-analysis.

Clinical & experimental ophthalmology Sep 22, 2021
BACKGROUND: In this systematic review and meta-analysis, we aimed to compare deep learning versus ophthalmologists in glaucoma diagnosis on fundus examinations.
Deep Learning ROC Curve Fundus Oculi Ophthalmologists Humans Glaucoma
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Multimodal deep learning models for the prediction of pathologic response to neoadjuvant chemotherapy in breast cancer.

Scientific reports Sep 22, 2021
The achievement of the pathologic complete response (pCR) has been considered a metric for the success of neoadjuvant chemotherapy (NAC) and a powerful surrogate indicator of the risk of recurrence and long-term survival. This study aimed to develop ...
Humans Retrospective Studies Breast Neoplasms Middle Aged Female Adult Neoadjuvant Therapy Magnetic Resonance Imaging Breast Deep Learning ROC Curve Treatment Outcome
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Detection of shallow anterior chamber depth from two-dimensional anterior segment photographs using deep learning.

BMC ophthalmology Sep 22, 2021
BACKGROUND: The purpose of this study was to implement and evaluate a deep learning (DL) approach for automatically detecting shallow anterior chamber depth (ACD) from two-dimensional (2D) overview anterior segment photographs.
Humans Glaucoma Deep Learning Anterior Chamber China ROC Curve
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Machine learning methods for automated classification of tumors with papillary thyroid carcinoma-like nuclei: A quantitative analysis.

PloS one Sep 22, 2021
When approaching thyroid gland tumor classification, the differentiation between samples with and without "papillary thyroid carcinoma-like" nuclei is a daunting task with high inter-observer variability among pathologists. Thus, there is increasing ...
Thyroid Neoplasms ROC Curve Image Processing, Computer-Assisted Humans Machine Learning Area Under Curve Automation Thyroid Cancer, Papillary
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Machine Learning Models for Survival and Neurological Outcome Prediction of Out-of-Hospital Cardiac Arrest Patients.

BioMed research international Sep 17, 2021
BACKGROUND: Out-of-hospital cardiac arrest (OHCA) is a major health problem worldwide, and neurologic injury remains the leading cause of morbidity and mortality among survivors of OHCA. The purpose of this study was to investigate whether a machine ...
Out-of-Hospital Cardiac Arrest Sensitivity and Specificity Brain Survival Analysis Male Female Predictive Value of Tests Humans ROC Curve Models, Cardiovascular Area Under Curve Aged Machine Learning Algorithms
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Decision making on vestibular schwannoma treatment: predictions based on machine-learning analysis.

Scientific reports Sep 15, 2021
Decision making on the treatment of vestibular schwannoma (VS) is mainly based on the symptoms, tumor size, patient's preference, and experience of the medical team. Here we provide objective tools to support the decision process by answering two que...
Hearing Tests Neuroma, Acoustic Disease Management Hearing Symptom Assessment Aged Adult Clinical Decision-Making Humans Male Female Decision Trees Machine Learning Middle Aged Reproducibility of Results Supervised Machine Learning ROC Curve
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Machine learning risk prediction model for acute coronary syndrome and death from use of non-steroidal anti-inflammatory drugs in administrative data.

Scientific reports Sep 15, 2021
Our aim was to investigate the usefulness of machine learning approaches on linked administrative health data at the population level in predicting older patients' one-year risk of acute coronary syndrome and death following the use of non-steroidal ...
Humans Risk Factors Male Risk Assessment Comorbidity Machine Learning Prognosis Female Disease Management Acute Coronary Syndrome Proportional Hazards Models Anti-Inflammatory Agents, Non-Steroidal Area Under Curve Disease Susceptibility Cause of Death ROC Curve Models, Theoretical Australia
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ECG data dependency for atrial fibrillation detection based on residual networks.

Scientific reports Sep 14, 2021
Atrial fibrillation (AF) is an arrhythmia that can cause blood clot and may lead to stroke and heart failure. To detect AF, deep learning-based detection algorithms have recently been developed. However, deep learning models were often trained with l...
Deep Learning ROC Curve Electrocardiography Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Neural Networks, Computer Atrial Fibrillation Algorithms Humans
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