AIMC Topic: Clinical Decision Rules

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Interpretation and reporting of predictive or diagnostic machine-learning research in Trauma & Orthopaedics.

The bone & joint journal Dec 1, 2021
There is increasing popularity in the use of artificial intelligence and machine-learning techniques to provide diagnostic and prognostic models for various aspects of Trauma & Orthopaedic surgery. However, correct interpretation of these models is d...
Machine Learning Humans Research Design Biomedical Research Orthopedics Models, Statistical Predictive Value of Tests Traumatology Clinical Decision Rules
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Clinical and inflammatory features based machine learning model for fatal risk prediction of hospitalized COVID-19 patients: results from a retrospective cohort study.

Annals of medicine Dec 1, 2021
OBJECTIVES: To appraise effective predictors for COVID-19 mortality in a retrospective cohort study.
SARS-CoV-2 Hospitalization Aged Aged, 80 and over Adult Male Interleukin-10 Prognosis Retrospective Studies Female Reproducibility of Results Hypertension Diabetes Mellitus C-Reactive Protein Ferritins L-Lactate Dehydrogenase Clinical Decision Rules Humans Cardiovascular Diseases Machine Learning Middle Aged COVID-19 Comorbidity Severity of Illness Index China Cohort Studies
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Machine Learning for Early Lung Cancer Identification Using Routine Clinical and Laboratory Data.

American journal of respiratory and critical care medicine Aug 15, 2021
Most lung cancers are diagnosed at an advanced stage. Presymptomatic identification of high-risk individuals can prompt earlier intervention and improve long-term outcomes. To develop a model to predict a future diagnosis of lung cancer on the basi...
Humans Machine Learning Retrospective Studies Female Aged Aged, 80 and over Lung Neoplasms Sensitivity and Specificity Carcinoma, Non-Small-Cell Lung Male Early Detection of Cancer Middle Aged Odds Ratio Case-Control Studies Clinical Decision Rules ROC Curve
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Machine Learning-based Prediction Model for Treatment of Acromegaly With First-generation Somatostatin Receptor Ligands.

The Journal of clinical endocrinology and metabolism Jun 16, 2021
CONTEXT: Artificial intelligence (AI), in particular machine learning (ML), may be used to deeply analyze biomarkers of response to first-generation somatostatin receptor ligands (fg-SRLs) in the treatment of acromegaly.
Human Growth Hormone Insulin-Like Growth Factor I Logistic Models Treatment Outcome Predictive Value of Tests Drug Monitoring Aged Young Adult Adult Male Middle Aged Ligands Acromegaly Keratins Clinical Decision Rules Receptors, Somatostatin Humans Machine Learning Biomarkers Female
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Natural Language Processing: A Promising Research Tool of Chronic Cough for the Big Data Era.

Chest Jun 1, 2021
Humans Big Data Chronic Disease Cough Natural Language Processing Clinical Decision Rules Pulmonary Medicine
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Predicting in-hospital mortality in ICU patients with sepsis using gradient boosting decision tree.

Medicine May 14, 2021
Sepsis is a leading cause of mortality in the intensive care unit. Early prediction of sepsis can reduce the overall mortality rate and cost of sepsis treatment. Some studies have predicted mortality and development of sepsis using machine learning m...
Hospital Mortality Adult ROC Curve Male Logistic Models Middle Aged Support Vector Machine Humans Sepsis Decision Trees Machine Learning Adolescent Clinical Decision Rules Algorithms Intensive Care Units Female Aged Aged, 80 and over Young Adult
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Machine Learning in Aging: An Example of Developing Prediction Models for Serious Fall Injury in Older Adults.

The journals of gerontology. Series A, Biological sciences and medical sciences Mar 31, 2021
BACKGROUND: Advances in computational algorithms and the availability of large datasets with clinically relevant characteristics provide an opportunity to develop machine learning prediction models to aid in diagnosis, prognosis, and treatment of old...
Outcome Assessment, Health Care Humans Female Trauma Severity Indices Reproducibility of Results Machine Learning Clinical Decision Rules Aged Algorithms Accidental Injuries Male Decision Support Techniques Aging Prognosis Accidental Falls
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Verification and comparison of three prediction models of ischemic stroke in young adults based on the back propagation neural networks.

Medicine Mar 19, 2021
This work aims to explore risk factors for ischemic stroke in young adults and analyze the Traditional Vascular Risk Factors Model based on age, hypertension, diabetes, smoking history, and drinking history. Further, the Lipid Metabolism Model was an...
Hypertension Kidney Function Tests Age Factors Lipoproteins Predictive Value of Tests Ischemic Stroke Factor Analysis, Statistical Area Under Curve Smoking Alcohol Drinking Clinical Decision Rules Male Middle Aged Risk Assessment Adolescent ROC Curve Diabetes Mellitus, Type 2 Acute Kidney Injury Female Risk Factors Humans Young Adult Neural Networks, Computer Adult
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Low Predictability of Readmissions and Death Using Machine Learning in Cirrhosis.

The American journal of gastroenterology Feb 1, 2021
INTRODUCTION: Readmission and death in cirrhosis are common, expensive, and difficult to predict. Our aim was to evaluate the abilities of multiple artificial intelligence (AI) techniques to predict clinical outcomes based on variables collected at a...
Gastrointestinal Agents Water-Electrolyte Imbalance Patient Readmission Gastrointestinal Hemorrhage Proton Pump Inhibitors Infections Liver Cirrhosis Support Vector Machine Kidney Diseases Hydrothorax Machine Learning Humans Ascites Male Hepatic Encephalopathy Adrenergic beta-Antagonists Anti-Bacterial Agents Middle Aged Paracentesis Clinical Decision Rules Female Severity of Illness Index Mortality End Stage Liver Disease Reproducibility of Results Lactulose Cohort Studies Rifaximin Aged beta-Lactams ROC Curve Logistic Models
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CORR Synthesis: When Should We Be Skeptical of Clinical Prediction Models?

Clinical orthopaedics and related research Dec 1, 2020
Risk Factors Humans Risk Assessment Artificial Intelligence Nomograms Machine Learning Checklist Clinical Decision-Making Clinical Decision Rules Reproducibility of Results
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