AIMC Topic:
ROC Curve

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Machine Learning to Build and Validate a Model for Radiation Pneumonitis Prediction in Patients with Non-Small Cell Lung Cancer.

Clinical cancer research : an official journal of the American Association for Cancer Research Apr 16, 2019
PURPOSE: Radiation pneumonitis is an important adverse event in patients with non-small cell lung cancer (NSCLC) receiving thoracic radiotherapy. However, the risk of radiation pneumonitis grade ≥ 2 (RP2) has not been well predicted. This study hypot...
Biomarkers, Tumor Male Middle Aged ROC Curve Lung Neoplasms Nomograms Carcinoma, Non-Small-Cell Lung Models, Statistical Radiotherapy Radiation Pneumonitis Machine Learning Cytokines Prospective Studies Female Aged Humans
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Deep learning only by normal brain PET identify unheralded brain anomalies.

EBioMedicine Apr 16, 2019
BACKGROUND: Recent deep learning models have shown remarkable accuracy for the diagnostic classification. However, they have limitations in clinical application due to the gap between the training cohorts and real-world data. We aimed to develop a mo...
Positron-Emission Tomography Fluorodeoxyglucose F18 Brain Diseases Neuroimaging Cognitive Dysfunction ROC Curve Image Processing, Computer-Assisted Area Under Curve Alzheimer Disease Humans Brain Deep Learning
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Machine Learning for Diagnosis of Hematologic Diseases in Magnetic Resonance Imaging of Lumbar Spines.

Scientific reports Apr 15, 2019
We aimed to assess feasibility of a support vector machine (SVM) texture classifier to discriminate pathologic infiltration patterns from the normal bone marrows in MRI. This retrospective study included 467 cases, which were split into a training (n...
Lumbar Vertebrae Bone Marrow Feasibility Studies Middle Aged Humans Image Interpretation, Computer-Assisted ROC Curve Retrospective Studies Datasets as Topic Support Vector Machine Hematologic Diseases Female Magnetic Resonance Imaging Radiologists Aged Male
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Machine Learning Readmission Risk Modeling: A Pediatric Case Study.

BioMed research international Apr 15, 2019
BACKGROUND: Hospital readmission prediction in pediatric hospitals has received little attention. Studies have focused on the readmission frequency analysis stratified by disease and demographic/geographic characteristics but there are no predictive ...
Models, Biological Child Patient Readmission ROC Curve Humans Support Vector Machine Machine Learning Predictive Value of Tests Female Patient Discharge Risk Factors Male
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Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma.

Clinical cancer research : an official journal of the American Association for Cancer Research Apr 11, 2019
PURPOSE: We aimed to evaluate the value of deep learning on positron emission tomography with computed tomography (PET/CT)-based radiomics for individual induction chemotherapy (IC) in advanced nasopharyngeal carcinoma (NPC).
Aged Young Adult Adult Survival Rate Male Humans Prognosis Retrospective Studies Female Risk Factors Nomograms Positron Emission Tomography Computed Tomography Middle Aged Nasopharyngeal Carcinoma Deep Learning Nasopharyngeal Neoplasms Adolescent Induction Chemotherapy Child ROC Curve
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Predicting daily outcomes in acetaminophen-induced acute liver failure patients with machine learning techniques.

Computer methods and programs in biomedicine Apr 11, 2019
BACKGROUND/OBJECTIVE: Assessing prognosis for acetaminophen-induced acute liver failure (APAP-ALF) patients during the first week of hospitalization often presents significant challenges. Current models such as the King's College Criteria (KCC) and t...
Predictive Value of Tests Area Under Curve Bayes Theorem Registries Male Acetaminophen Humans Linear Models Middle Aged Liver Failure, Acute Machine Learning Prognosis Severity of Illness Index Databases, Factual Retrospective Studies ROC Curve Female Treatment Outcome Adult Sensitivity and Specificity
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Application of Artificial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers.

Clinical cancer research : an official journal of the American Association for Cancer Research Apr 11, 2019
PURPOSE: We aimed to develop an ovarian cancer-specific predictive framework for clinical stage, histotype, residual tumor burden, and prognosis using machine learning methods based on multiple biomarkers.
Support Vector Machine Ovarian Neoplasms Bayes Theorem Neoplasm Staging Neoplasm Grading Artificial Intelligence Carcinoma, Ovarian Epithelial Preoperative Care Machine Learning Algorithms Humans Adult Neural Networks, Computer Survival Rate Prognosis Biomarkers, Tumor Middle Aged Female ROC Curve Aged Aged, 80 and over Young Adult
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Application of Artificial Neural Networks to Identify Alzheimer's Disease Using Cerebral Perfusion SPECT Data.

International journal of environmental research and public health Apr 11, 2019
The aim of this study was to demonstrate the usefulness of artificial neural networks in Alzheimer disease diagnosis (AD) using data of brain single photon emission computed tomography (SPECT). The results were compared with discriminant analysis. Th...
Case-Control Studies ROC Curve Discriminant Analysis Alzheimer Disease Tomography, Emission-Computed, Single-Photon Aged Aged, 80 and over Sensitivity and Specificity Male Middle Aged Humans Neural Networks, Computer Female
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Comparison and development of machine learning tools in the prediction of chronic kidney disease progression.

Journal of translational medicine Apr 11, 2019
BACKGROUND: Urinary protein quantification is critical for assessing the severity of chronic kidney disease (CKD). However, the current procedure for determining the severity of CKD is completed through evaluating 24-h urinary protein, which is incon...
Humans Disease Progression Aged, 80 and over Machine Learning Adolescent Young Adult Female Renal Insufficiency, Chronic ROC Curve Adult Reproducibility of Results Area Under Curve Male Aged Internet Middle Aged
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An Equation Based on Fuzzy Mathematics to Assess the Timing of Haemodialysis Initiation.

Scientific reports Apr 10, 2019
In order to develop an equation that integrates multiple clinical factors including signs and symptoms associated with uraemia to assess the initiation of dialysis, we conducted a retrospective cohort study including 25 haemodialysis centres in Mainl...
ROC Curve Logistic Models Humans Glomerular Filtration Rate Neural Networks, Computer Area Under Curve Retrospective Studies Kidney Failure, Chronic Female Adult Aged Male Middle Aged Renal Dialysis Time Factors
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