AIMC Topic: Severity of Illness Index

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Enhanced Diagnosis of Severe Aortic Stenosis Using Artificial Intelligence: A Proof-of-Concept Study of 530,871 Echocardiograms.

JACC. Cardiovascular imaging Dec 18, 2019
Severity of Illness Index Hemodynamics Diagnosis, Computer-Assisted Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Image Interpretation, Computer-Assisted Proof of Concept Study Adult Male Ventricular Function, Left Echocardiography Middle Aged Databases, Factual Prognosis Female Aged Aged, 80 and over Humans Artificial Intelligence
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Right Dose Right Now: bedside data-driven personalized antibiotic dosing in severe sepsis and septic shock - rationale and design of a multicenter randomized controlled superiority trial.

Trials Dec 18, 2019
BACKGROUND: Antibiotic exposure is often inadequate in critically ill patients with severe sepsis or septic shock and this is associated with worse outcomes. Despite markedly altered and rapidly changing pharmacokinetics in these patients, guidelines...
Severity of Illness Index Big Data Shock, Septic Treatment Outcome Dose-Response Relationship, Drug Multicenter Studies as Topic Anti-Bacterial Agents Intensive Care Units Female Adult Male Randomized Controlled Trials as Topic Drug Monitoring Netherlands Kaplan-Meier Estimate Equivalence Trials as Topic Humans Artificial Intelligence Research Design
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Macrolide combination therapy for patients hospitalised with community-acquired pneumonia? An individualised approach supported by machine learning.

The European respiratory journal Dec 12, 2019
BACKGROUND: The role of macrolide/β-lactam combination therapy in community-acquired pneumonia (CAP) of moderate severity is a matter of debate. Macrolides expand the coverage to atypical pathogens and attenuate pulmonary inflammation, but have been ...
Prospective Studies Female Hospitalization Aged Aged, 80 and over Adult Humans Machine Learning Anti-Bacterial Agents Drug Therapy, Combination Propensity Score Macrolides Pneumonia, Bacterial Community-Acquired Infections beta-Lactams Male Middle Aged Severity of Illness Index Treatment Outcome Europe
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Decoding rumination: A machine learning approach to a transdiagnostic sample of outpatients with anxiety, mood and psychotic disorders.

Journal of psychiatric research Dec 7, 2019
OBJECTIVE: To employ machine learning algorithms to examine patterns of rumination from RDoC perspective and to determine which variables predict high levels of maladaptive rumination across a transdiagnostic sample.
Anxiety Disorders Severity of Illness Index Humans Models, Theoretical Mood Disorders Support Vector Machine Cytokines Social Class Psychotic Disorders Female Adaptation, Psychological Adult Rumination, Cognitive Male Middle Aged
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Machine learning distilled metabolite biomarkers for early stage renal injury.

Metabolomics : Official journal of the Metabolomic Society Dec 5, 2019
INTRODUCTION: With chronic kidney disease (CKD), kidney becomes damaged overtime and fails to clean blood. Around 15% of US adults have CKD and nine in ten adults with CKD do not know they have it.
Humans Machine Learning Biomarkers Female Aged Adult Glomerular Filtration Rate Mass Spectrometry Creatinine Chromatography, High Pressure Liquid Male Middle Aged Severity of Illness Index Case-Control Studies Renal Insufficiency, Chronic
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Deep learning enables pathologist-like scoring of NASH models.

Scientific reports Dec 5, 2019
Non-alcoholic fatty liver disease (NAFLD) and the progressive form of non-alcoholic steatohepatitis (NASH) are diseases of major importance with a high unmet medical need. Efficacy studies on novel compounds to treat NAFLD/NASH using disease models a...
Microscopy Datasets as Topic Animals Severity of Illness Index Deep Learning Image Processing, Computer-Assisted Mice Rats Disease Models, Animal Liver Humans Biopsy Feasibility Studies Non-alcoholic Fatty Liver Disease
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Evaluation of a Deep Learning-Based Automated CT Coronary Artery Calcium Scoring Algorithm.

JACC. Cardiovascular imaging Nov 13, 2019
Humans Software Retrospective Studies Female Reproducibility of Results Coronary Vessels Aged Vascular Calcification Computed Tomography Angiography Cardiac-Gated Imaging Techniques Electrocardiography Male Predictive Value of Tests Middle Aged Coronary Angiography Severity of Illness Index Radiographic Image Interpretation, Computer-Assisted Diagnosis, Computer-Assisted Coronary Artery Disease Deep Learning Automation
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Machine Learning for Pretest Probability of Obstructive Coronary Stenosis in Symptomatic Patients.

JACC. Cardiovascular imaging Nov 13, 2019
Predictive Value of Tests Coronary Angiography Coronary Artery Disease Computed Tomography Angiography Humans Coronary Stenosis Machine Learning Female Reproducibility of Results Male Middle Aged Severity of Illness Index Diagnosis, Computer-Assisted
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Machine Learning to Predict Anti-Tumor Necrosis Factor Drug Responses of Rheumatoid Arthritis Patients by Integrating Clinical and Genetic Markers.

Arthritis & rheumatology (Hoboken, N.J.) Nov 4, 2019
OBJECTIVE: Accurate prediction of treatment responses in rheumatoid arthritis (RA) patients can provide valuable information on effective drug selection. Anti-tumor necrosis factor (anti-TNF) drugs are an important second-line treatment after methotr...
Middle Aged Severity of Illness Index Arthritis, Rheumatoid Polymorphism, Single Nucleotide Treatment Outcome Regression Analysis Predictive Value of Tests Infliximab Genetic Markers Methotrexate Adalimumab Machine Learning Outcome Assessment, Health Care Tumor Necrosis Factor-alpha Antirheumatic Agents Female Normal Distribution Reproducibility of Results Etanercept Male Certolizumab Pegol Humans
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Machine learning-based prediction of radiographic progression in patients with axial spondyloarthritis.

Clinical rheumatology Oct 30, 2019
INTRODUCTION: Machine learning is applied to characterize the risk and predict outcomes in multi-dimensional data. The prediction of radiographic progression in axial spondyloarthritis (axSpA) remains limited. Hence, we tested the feasibility of supe...
Adult Humans Radiography Male Machine Learning Spine Middle Aged Retrospective Studies Spondylarthritis Disease Progression Republic of Korea Severity of Illness Index Female
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