AIMC Topic: ROC Curve

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Early prediction of severe acute pancreatitis using machine learning.

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] Oct 16, 2021
BACKGROUND: Acute pancreatitis (AP) is one of the most common causes of gastrointestinal-related hospitalizations in the United States. Severe AP (SAP) is associated with a mortality rate of nearly 30% and is distinguished from milder forms of AP. Ri...
Acute Disease Pancreatitis Severity of Illness Index Adolescent ROC Curve Predictive Value of Tests Humans Aged Aged, 80 and over Adult Male Middle Aged Machine Learning Prognosis Retrospective Studies Female
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Deep learning evaluation of biomarkers from echocardiogram videos.

EBioMedicine Oct 14, 2021
BACKGROUND: Laboratory testing is routinely used to assay blood biomarkers to provide information on physiologic state beyond what clinicians can evaluate from interpreting medical imaging. We hypothesized that deep learning interpretation of echocar...
Echocardiography Deep Learning ROC Curve Humans Image Processing, Computer-Assisted Software Image Interpretation, Computer-Assisted Algorithms Biomarkers
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Blood-Based Immune Profiling Combined with Machine Learning Discriminates Psoriatic Arthritis from Psoriasis Patients.

International journal of molecular sciences Oct 12, 2021
Psoriasis (Pso) is a chronic inflammatory skin disease, and up to 30% of Pso patients develop psoriatic arthritis (PsA), which can lead to irreversible joint damage. Early detection of PsA in Pso patients is crucial for timely treatment but difficult...
Receptors, Chemokine Discriminant Analysis Humans T-Lymphocytes, Regulatory Monocytes Machine Learning Female T-Lymphocyte Subsets Phenotype Psoriasis B-Lymphocyte Subsets Aged Diagnosis, Differential Adult Arthritis, Psoriatic Middle Aged Area Under Curve ROC Curve
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Deep learning can predict lymph node status directly from histology in colorectal cancer.

European journal of cancer (Oxford, England : 1990) Oct 11, 2021
BACKGROUND: Lymph node status is a prognostic marker and strongly influences therapeutic decisions in colorectal cancer (CRC).
Lymph Nodes Lymphatic Metastasis Neoplasm Staging Rectum Case-Control Studies Deep Learning Cohort Studies Humans ROC Curve Colorectal Neoplasms Prognosis Image Processing, Computer-Assisted Male Female Middle Aged Aged Colon Aged, 80 and over
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Predicting bloodstream infection outcome using machine learning.

Scientific reports Oct 11, 2021
Bloodstream infections (BSI) are a main cause of infectious disease morbidity and mortality worldwide. Early prediction of BSI patients at high risk of poor outcomes is important for earlier decision making and effective patient stratification. We de...
Sepsis ROC Curve Bacteria Bacteremia Female Risk Factors Aged Male Humans Machine Learning Anti-Bacterial Agents Retrospective Studies Electronic Health Records
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Improved prediction of smoking status via isoform-aware RNA-seq deep learning models.

PLoS computational biology Oct 11, 2021
Most predictive models based on gene expression data do not leverage information related to gene splicing, despite the fact that splicing is a fundamental feature of eukaryotic gene expression. Cigarette smoking is an important environmental risk fac...
Humans Deep Learning ROC Curve RNA-Seq Computational Biology Models, Statistical Female Aged Male Middle Aged Gene Expression Profiling Smoking Protein Isoforms Exons
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Artificial intelligence forecasting mortality at an intensive care unit and comparison to a logistic regression system.

Einstein (Sao Paulo, Brazil) Oct 11, 2021
OBJECTIVE: To explore an artificial intelligence approach based on gradient-boosted decision trees for prediction of all-cause mortality at an intensive care unit, comparing its performance to a recent logistic regression system in the literature, an...
Adult Humans Hospital Mortality Artificial Intelligence ROC Curve Machine Learning Logistic Models Intensive Care Units
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Music video emotion classification using slow-fast audio-video network and unsupervised feature representation.

Scientific reports Oct 6, 2021
Affective computing has suffered by the precise annotation because the emotions are highly subjective and vague. The music video emotion is complex due to the diverse textual, acoustic, and visual information which can take the form of lyrics, singer...
ROC Curve Models, Theoretical Emotions Video Recording Music Machine Learning Databases, Factual
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Investigation of a dysmorphic facial phenotype in patients with Gaucher disease types 2 and 3.

Molecular genetics and metabolism Oct 5, 2021
Gaucher disease (GD) is a rare lysosomal storage disorder that is divided into three subtypes based on presentation of neurological manifestations. Distinguishing between the types has important implications for treatment and counseling. Yet, patient...
Female Infant, Newborn Young Adult Adult Male Infant Adolescent Cohort Studies Child, Preschool Musculoskeletal Abnormalities Child Humans ROC Curve Artificial Intelligence Gaucher Disease Software Facial Recognition Phenotype
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A Continuously Benchmarked and Crowdsourced Challenge for Rapid Development and Evaluation of Models to Predict COVID-19 Diagnosis and Hospitalization.

JAMA network open Oct 1, 2021
IMPORTANCE: Machine learning could be used to predict the likelihood of diagnosis and severity of illness. Lack of COVID-19 patient data has hindered the data science community in developing models to aid in the response to the pandemic.
ROC Curve Models, Statistical Area Under Curve Benchmarking COVID-19 Testing Severity of Illness Index Adolescent Child, Preschool Machine Learning Child Infant, Newborn Crowdsourcing COVID-19 Hospitalization Washington Algorithms Aged Young Adult Humans Clinical Decision Rules Prognosis Aged, 80 and over Adult Female Male Middle Aged Infant
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