AIMC Topic: ROC Curve

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The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model.

Critical care medicine Jul 1, 2018
OBJECTIVES: To develop an acute kidney injury risk prediction model using electronic health record data for longitudinal use in hospitalized patients.
Humans Machine Learning Algorithms Renal Replacement Therapy Middle Aged ROC Curve Models, Statistical Area Under Curve Creatinine Acute Kidney Injury Electronic Health Records Female Reproducibility of Results Male
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[Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients].

Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns Jun 20, 2018
To build risk prediction models for acute kidney injury (AKI) in severely burned patients, and to compare the prediction performance of machine learning method and logistic regression model. The clinical data of 157 severely burned patients in Augu...
Explosions Humans Machine Learning Logistic Models Acute Kidney Injury Fluid Therapy Hospitalization Burns Sensitivity and Specificity Organ Dysfunction Scores Sepsis ROC Curve
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Predicting Corticosteroid-Free Biologic Remission with Vedolizumab in Crohn's Disease.

Inflammatory bowel diseases May 18, 2018
BACKGROUND AND AIMS: Vedolizumab (VDZ) is effective for Crohn's disease (CD) but costly and is slow to produce remission. Early knowledge of whether vedolizumab is likely to succeed is valuable for physicians, patients, and insurers.
Middle Aged Cohort Studies ROC Curve Treatment Outcome Antibodies, Monoclonal, Humanized Female Young Adult Adult Male Gastrointestinal Agents Remission Induction Adrenal Cortex Hormones Biological Products C-Reactive Protein Area Under Curve Crohn Disease Humans Machine Learning
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Automated Detection of Clinically Significant Prostate Cancer in mp-MRI Images Based on an End-to-End Deep Neural Network.

IEEE transactions on medical imaging May 1, 2018
Automated methods for detecting clinically significant (CS) prostate cancer (PCa) in multi-parameter magnetic resonance images (mp-MRI) are of high demand. Existing methods typically employ several separate steps, each of which is optimized individua...
Algorithms Male ROC Curve Magnetic Resonance Imaging Prostatic Neoplasms Prostate Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
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A Preventive Model for Muscle Injuries: A Novel Approach based on Learning Algorithms.

Medicine and science in sports and exercise May 1, 2018
INTRODUCTION: The application of contemporary statistical approaches coming from Machine Learning and Data Mining environments to build more robust predictive models to identify athletes at high risk for injury might support injury prevention strateg...
Humans Machine Learning Athletes Athletic Injuries ROC Curve Models, Theoretical Lower Extremity Decision Making Muscle, Skeletal Algorithms Prospective Studies Risk Factors Male
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[Application of support vector machine in predicting in-hospital mortality risk of patients with acute kidney injury in ICU].

Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences Apr 18, 2018
OBJECTIVE: To construct an in-hospital mortality prediction model for patients with acute kidney injury (AKI) in intensive care unit (ICU) by using support vector machine (SVM), and compare it with the simplified acute physiology score II (SAPS-II) w...
Humans Prognosis ROC Curve Support Vector Machine Critical Care Acute Kidney Injury Intensive Care Units Sensitivity and Specificity Hospital Mortality
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An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU.

Critical care medicine Apr 1, 2018
OBJECTIVES: Sepsis is among the leading causes of morbidity, mortality, and cost overruns in critically ill patients. Early intervention with antibiotics improves survival in septic patients. However, no clinically validated system exists for real-ti...
Sepsis Humans Organ Dysfunction Scores Time Factors Machine Learning Vital Signs Hospital Mortality ROC Curve Heart Rate Aged Decision Support Systems, Clinical Sex Factors Socioeconomic Factors Male Academic Medical Centers Electrocardiography Middle Aged Time-to-Treatment Age Factors Comorbidity Critical Illness Blood Pressure Severity of Illness Index Intensive Care Units Electronic Health Records Female
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Artificial Neural Networking Model for the Prediction of Early Occlusion of Bilateral Plastic Stent Placement for Inoperable Hilar Cholangiocarcinoma.

Surgical laparoscopy, endoscopy & percutaneous techniques Apr 1, 2018
BACKGROUND: This study aimed to determine whether the back-propagation artificial neural network (BP-ANN) model could be constructed to accurately in predicting early occlusion of bilateral plastic stent placement for inoperable hilar cholangiocarcin...
Klatskin Tumor Prosthesis Failure Retrospective Studies Bile Ducts, Intrahepatic Female Stents Aged Early Diagnosis Humans Male ROC Curve Palliative Care Postoperative Complications Neural Networks, Computer Bile Duct Neoplasms Follow-Up Studies Prospective Studies Plastics Neoplasm Staging Prosthesis Design
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Detection of tuberculosis patterns in digital photographs of chest X-ray images using Deep Learning: feasibility study.

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease Mar 1, 2018
OBJECTIVE: To evaluate the feasibility of Deep Learning-based detection and classification of pathological patterns in a set of digital photographs of chest X-ray (CXR) images of tuberculosis (TB) patients.
Tuberculosis, Pulmonary Humans Radiography, Thoracic ROC Curve Software Teleradiology Prospective Studies Predictive Value of Tests Adult Female Coinfection Male Feasibility Studies Deep Learning HIV Infections Uganda
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Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning.

Cell Feb 22, 2018
The implementation of clinical-decision support algorithms for medical imaging faces challenges with reliability and interpretability. Here, we establish a diagnostic tool based on a deep-learning framework for the screening of patients with common t...
Humans Child Neural Networks, Computer ROC Curve Pneumonia Reproducibility of Results Diagnostic Imaging Deep Learning Tomography, Optical Coherence
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