AIMC Topic:
ROC Curve

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A novel lightweight deep convolutional neural network for early detection of oral cancer.

Oral diseases Mar 5, 2021
OBJECTIVES: To develop a lightweight deep convolutional neural network (CNN) for binary classification of oral lesions into benign and malignant or potentially malignant using standard real-time clinical images.
Neural Networks, Computer Artificial Intelligence ROC Curve Area Under Curve Mouth Neoplasms Humans
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Individualized prediction of COVID-19 adverse outcomes with MLHO.

Scientific reports Mar 5, 2021
The COVID-19 pandemic has devastated the world with health and economic wreckage. Precise estimates of adverse outcomes from COVID-19 could have led to better allocation of healthcare resources and more efficient targeted preventive measures, includi...
Respiration, Artificial ROC Curve Age Factors Models, Statistical Data Mining Reproducibility of Results SARS-CoV-2 Risk Factors Hospitalization Aged Aged, 80 and over Adult Male Middle Aged Risk Assessment Prognosis Retrospective Studies Intensive Care Units Electronic Health Records Female Humans Machine Learning Pandemics COVID-19
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seqQscorer: automated quality control of next-generation sequencing data using machine learning.

Genome biology Mar 5, 2021
Controlling quality of next-generation sequencing (NGS) data files is a necessary but complex task. To address this problem, we statistically characterize common NGS quality features and develop a novel quality control procedure involving tree-based ...
Machine Learning Software Algorithms Reproducibility of Results ROC Curve High-Throughput Nucleotide Sequencing Genomics Computational Biology Databases, Genetic Workflow Quality Control
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High-dimensional hepatopath data analysis by machine learning for predicting HBV-related fibrosis.

Scientific reports Mar 3, 2021
Chronic HBV infection, the main cause of liver cirrhosis and hepatocellular carcinoma, has become a global health concern. Machine learning algorithms are particularly adept at analyzing medical phenomenon by capturing complex and nonlinear relations...
Humans Machine Learning Data Analysis Forecasting Models, Statistical Bayes Theorem Biopsy Data Accuracy China Hepatitis B, Chronic Serologic Tests ROC Curve Female Hepatitis B virus Aged Genotype Adult Liver Cirrhosis Male Middle Aged
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Machine Learning in Preoperative Prediction of Postoperative Immediate Remission of Histology-Positive Cushing's Disease.

Frontiers in endocrinology Mar 2, 2021
BACKGROUND: There are no established accurate models that use machine learning (ML) methods to preoperatively predict immediate remission after transsphenoidal surgery (TSS) in patients diagnosed with histology-positive Cushing's disease (CD).
Adult Pituitary Neoplasms Humans Male Algorithms Predictive Value of Tests Machine Learning Middle Aged Computer Simulation Area Under Curve Diagnosis, Computer-Assisted Retrospective Studies Remission Induction ROC Curve Female Pituitary ACTH Hypersecretion Reproducibility of Results
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Prediction of Sepsis in COVID-19 Using Laboratory Indicators.

Frontiers in cellular and infection microbiology Mar 2, 2021
BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) has become a global public health concern. Many inpatients with COVID-19 have shown clinical symptoms related to sepsis, which will aggravate the deterioration of patients' condition. We...
Adult Retrospective Studies ROC Curve Humans Male Female Logistic Models Middle Aged Machine Learning SARS-CoV-2 COVID-19 Testing COVID-19 China Risk Factors Sepsis Prognosis Aged
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Use of Machine Learning to Develop and Evaluate Models Using Preoperative and Intraoperative Data to Identify Risks of Postoperative Complications.

JAMA network open Mar 1, 2021
IMPORTANCE: Postoperative complications can significantly impact perioperative care management and planning.
Middle Aged Risk Assessment Postoperative Complications Incidence ROC Curve Machine Learning Decision Support Systems, Clinical United States Retrospective Studies Humans Follow-Up Studies Female Intraoperative Period Risk Factors Preoperative Period Male
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Machine learning and bioinformatic analysis of brain and blood mRNA profiles in major depressive disorder: A case-control study.

American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics Mar 1, 2021
This study analyzed gene expression messenger RNA data, from cases with major depressive disorder (MDD) and controls, using supervised machine learning (ML). We built on the methodology of prior studies to obtain more generalizable/reproducible resul...
Male Middle Aged Depressive Disorder, Major Case-Control Studies Adolescent Humans Female Cohort Studies Machine Learning Aged ROC Curve Biomarkers Aged, 80 and over Computational Biology Brain Young Adult RNA, Messenger Adult
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Optimizing predictive strategies for acute kidney injury after major vascular surgery.

Surgery Feb 27, 2021
BACKGROUND: Postoperative acute kidney injury is common after major vascular surgery and is associated with increased morbidity, mortality, and cost. High-performance risk stratification using a machine learning model can inform strategies that mitig...
Humans Machine Learning Retrospective Studies Postoperative Complications Acute Kidney Injury Comorbidity Electronic Health Records ROC Curve Female Vascular Surgical Procedures Aged Male Middle Aged Risk Assessment
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Deep learning differentiates between healthy and diabetic mouse ears from optical coherence tomography angiography images.

Annals of the New York Academy of Sciences Feb 26, 2021
We trained a deep learning algorithm to use skin optical coherence tomography (OCT) angiograms to differentiate between healthy and type 2 diabetic mice. OCT angiograms were acquired with a custom-built OCT system based on an akinetic swept laser at ...
Algorithms Female Reproducibility of Results Animals Case-Control Studies Deep Learning ROC Curve Image Processing, Computer-Assisted Mice Diagnosis, Differential Machine Learning Tomography, Optical Coherence Diabetes Mellitus, Experimental Angiography Ear
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