AIMC Topic: ROC Curve

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Prediction of tau accumulation in prodromal Alzheimer's disease using an ensemble machine learning approach.

Scientific reports Mar 11, 2021
We developed machine learning (ML) algorithms to predict abnormal tau accumulation among patients with prodromal AD. We recruited 64 patients with prodromal AD using the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset. Supervised ML approa...
Humans Machine Learning Algorithms Aged Male Cognitive Dysfunction Biomarkers Female ROC Curve Alzheimer Disease tau Proteins Prodromal Symptoms
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Automated remote decision-making algorithm as a primary triage system using machine learning techniques.

Physiological measurement Mar 11, 2021
OBJECTIVE: An objective and convenient primary triage procedure is needed for prioritizing patients who need help in mass casualty incident (MCI) situations, where there is a lack of medical staff and available resources. This study aimed to develop ...
Machine Learning Humans Algorithms ROC Curve Triage Emergency Service, Hospital
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A new rapid diagnostic system with ambient mass spectrometry and machine learning for colorectal liver metastasis.

BMC cancer Mar 10, 2021
BACKGROUND: Probe electrospray ionization-mass spectrometry (PESI-MS) can rapidly visualize mass spectra of small, surgically obtained tissue samples, and is a promising novel diagnostic tool when combined with machine learning which discriminates ma...
Chromatography, High Pressure Liquid Aged Spectrometry, Mass, Electrospray Ionization Aged, 80 and over Adult Colorectal Neoplasms ROC Curve Liver Neoplasms Humans Liver Prospective Studies Machine Learning Male Retrospective Studies Middle Aged Female
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Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data.

Korean journal of radiology Mar 9, 2021
OBJECTIVE: To develop a machine learning (ML) pipeline based on radiomics to predict Coronavirus Disease 2019 (COVID-19) severity and the future deterioration to critical illness using CT and clinical variables.
ROC Curve SARS-CoV-2 Male Middle Aged Humans Severity of Illness Index Machine Learning COVID-19 Retrospective Studies Tomography, X-Ray Computed Critical Illness
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A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT.

BMC medical imaging Mar 9, 2021
OBJECTIVE: To investigate left atrial shape differences on CT scans of atrial fibrillation (AF) patients with (AF+) versus without (AF-) post-ablation recurrence and whether these shape differences predict AF recurrence.
Female Aged Recurrence Male Atrial Appendage ROC Curve Humans Middle Aged Machine Learning Pulmonary Veins Atrial Fibrillation Prognosis Heart Atria Retrospective Studies Catheter Ablation
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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.
Humans Neural Networks, Computer Artificial Intelligence ROC Curve Area Under Curve Mouth Neoplasms
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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 Adult Male Middle Aged Risk Assessment Data Mining Intensive Care Units Electronic Health Records Female Reproducibility of Results Hospitalization Aged Aged, 80 and over SARS-CoV-2 Pandemics Risk Factors COVID-19 Prognosis Retrospective Studies Humans Machine Learning
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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 ...
Reproducibility of Results ROC Curve Genomics Computational Biology Databases, Genetic Machine Learning Software Algorithms Workflow Quality Control High-Throughput Nucleotide Sequencing
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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...
Serologic Tests Data Accuracy Models, Statistical Bayes Theorem Biopsy Aged Hepatitis B, Chronic Adult Male Middle Aged Machine Learning Humans China Data Analysis Hepatitis B virus Forecasting ROC Curve Genotype Female Liver Cirrhosis
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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).
Male Retrospective Studies Area Under Curve Pituitary Neoplasms Female Humans Remission Induction Reproducibility of Results Machine Learning Predictive Value of Tests Pituitary ACTH Hypersecretion Middle Aged Adult Algorithms Diagnosis, Computer-Assisted Computer Simulation ROC Curve
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