AIMC Topic: Clinical Decision Rules

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Contextual Embeddings from Clinical Notes Improves Prediction of Sepsis.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Sepsis, a life-threatening organ dysfunction, is a clinical syndrome triggered by acute infection and affects over 1 million Americans every year. Untreated sepsis can progress to septic shock and organ failure, making sepsis one of the leading cause...
Natural Language Processing Clinical Decision Rules Severity of Illness Index Humans Deep Learning Algorithms Sepsis Decision Support Systems, Clinical Electronic Health Records Shock, Septic Language
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Right population, right resources, right algorithm: Using machine learning efficiently and effectively in surgical systems where data are a limited resource.

Surgery Jan 5, 2021
There is a growing interest in using machine learning algorithms to support surgical care, diagnostics, and public health surveillance in low- and middle-income countries. From our own experience and the literature, we share several lessons for devel...
Clinical Decision-Making Developing Countries Data Collection Surgical Procedures, Operative Clinical Decision Rules Humans Machine Learning Algorithms Decision Support Techniques Delivery of Health Care
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Prediction of Incident Heart Failure in TTR Val122Ile Carriers One Year Ahead of Diagnosis in a Multiethnic Biobank.

The American journal of cardiology Dec 18, 2020
Humans Machine Learning Electronic Health Records Case-Control Studies Cardiomyopathies Penetrance Amyloid Neuropathies, Familial Clinical Decision Rules Hispanic or Latino Heart Failure Biological Specimen Banks Black or African American Incidence Prealbumin ROC Curve Area Under Curve Mutation
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Optimising an FFQ Using a Machine Learning Pipeline to teach an Efficient Nutrient Intake Predictive Model.

Nutrients Dec 10, 2020
Food frequency questionnaires (FFQs) are the most commonly selected tools in nutrition monitoring, as they are inexpensive, easily implemented and provide useful information regarding dietary intake. They are usually carefully drafted by experts from...
Regression Analysis Humans Predictive Value of Tests Machine Learning Diet, Healthy Female Diet Surveys Reproducibility of Results Clinical Decision Rules Adult Male Nutrition Assessment Diet Surveys and Questionnaires
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Prediction of obstetrical and fetal complications using automated electronic health record data.

American journal of obstetrics and gynecology Oct 22, 2020
An increasing number of delivering women experience major morbidity and mortality. Limited work has been done on automated predictive models that could be used for prevention. Using only routinely collected obstetrical data, this study aimed to devel...
Blood Pressure Pre-Eclampsia Maternal Age Postpartum Hemorrhage Hypoxia-Ischemia, Brain Parity Reproducibility of Results Adult Time Factors Obstetric Labor Complications Stillbirth Clinical Decision Rules Pregnancy in Obesity Routinely Collected Health Data Uterine Rupture Humans Machine Learning Retrospective Studies Electronic Health Records Pregnancy Female Premature Birth
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Development and Validation of Machine Learning-Based Prediction for Dependence in the Activities of Daily Living after Stroke Inpatient Rehabilitation: A Decision-Tree Analysis.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Sep 28, 2020
BACKGROUND AND PURPOSE: Accurate prediction using simple and changeable variables is clinically meaningful because some known-predictors, such as stroke severity and patients age cannot be modified with rehabilitative treatment. There are limited cli...
Mobility Limitation Clinical Decision Rules Risk Assessment Treatment Outcome Recovery of Function Inpatients Predictive Value of Tests Decision Trees Stroke Activities of Daily Living Stroke Rehabilitation Humans Machine Learning Databases, Factual Female Reproducibility of Results Risk Factors Aged Aged, 80 and over Male Middle Aged
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Early Prediction of Acute Kidney Injury in the Emergency Department With Machine-Learning Methods Applied to Electronic Health Record Data.

Annals of emergency medicine Jul 24, 2020
STUDY OBJECTIVE: Acute kidney injury occurs commonly and is a leading cause of prolonged hospitalization, development and progression of chronic kidney disease, and death. Early acute kidney injury treatment can improve outcomes. However, current dec...
Humans Machine Learning Retrospective Studies Acute Kidney Injury Electronic Health Records Female Aged Middle Aged Adolescent Emergency Service, Hospital Creatinine Clinical Decision Rules Aged, 80 and over Adult Cross-Sectional Studies Male
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Clinical applications of machine learning in the diagnosis, classification, and prediction of heart failure.

American heart journal Jul 16, 2020
Machine learning and artificial intelligence are generating significant attention in the scientific community and media. Such algorithms have great potential in medicine for personalizing and improving patient care, including in the diagnosis and man...
Heart Failure Clinical Decision Rules Humans Machine Learning Prognosis
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Benchmarking machine learning models on multi-centre eICU critical care dataset.

PloS one Jul 2, 2020
Progress of machine learning in critical care has been difficult to track, in part due to absence of public benchmarks. Other fields of research (such as computer vision and natural language processing) have established various competitions and publi...
Datasets as Topic Humans Clinical Decision Rules Machine Learning Length of Stay Software Hospital Mortality Algorithms Benchmarking Critical Care
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Comparison of Machine Learning Methods and Conventional Logistic Regressions for Predicting Gestational Diabetes Using Routine Clinical Data: A Retrospective Cohort Study.

Journal of diabetes research Jun 12, 2020
BACKGROUND: Gestational diabetes mellitus (GDM) contributes to adverse pregnancy and birth outcomes. In recent decades, extensive research has been devoted to the early prediction of GDM by various methods. Machine learning methods are flexible predi...
Decision Trees Humans Glycated Hemoglobin Machine Learning Cholesterol Retrospective Studies Routinely Collected Health Data Uric Acid Pregnancy Diabetes, Gestational Female Adult Reproducibility of Results Blood Glucose Young Adult Cohort Studies Logistic Models Lipoproteins, HDL Maternal Age Triglycerides Clinical Decision Rules Pregnancy in Obesity
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