AIMC Topic: Decision Support Techniques

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Predicting Nondiagnostic Home Sleep Apnea Tests Using Machine Learning.

Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine Nov 15, 2019
STUDY OBJECTIVES: Home sleep apnea testing (HSAT) is an efficient and cost-effective method of diagnosing obstructive sleep apnea (OSA). However, nondiagnostic HSAT necessitates additional tests that erode these benefits, delaying diagnoses and incre...
Middle Aged Surveys and Questionnaires Sleep Apnea, Obstructive Calibration Adult Self Care Sensitivity and Specificity Male Polysomnography Humans Retrospective Studies Female Aged Machine Learning Decision Support Techniques
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Transparent Reporting on Research Using Unstructured Electronic Health Record Data to Generate 'Real World' Evidence of Comparative Effectiveness and Safety.

Drug safety Nov 1, 2019
Research that makes secondary use of administrative and clinical healthcare databases is increasingly influential for regulatory, reimbursement, and other healthcare decision-making. Consequently, there are numerous guidance documents on reporting fo...
Decision Support Techniques Humans Electronic Health Records Databases, Factual Algorithms Natural Language Processing Research Design Information Storage and Retrieval
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Value-based Healthcare: Can Artificial Intelligence Provide Value in Orthopaedic Surgery?

Clinical orthopaedics and related research Aug 1, 2019
Humans Orthopedic Procedures Orthopedics Value-Based Health Insurance Artificial Intelligence Data Mining Decision Support Techniques Cost-Benefit Analysis Diagnosis, Computer-Assisted Health Care Costs Decision Support Systems, Clinical Therapy, Computer-Assisted
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Machine Learning Prediction Models for In-Hospital Mortality After Transcatheter Aortic Valve Replacement.

JACC. Cardiovascular interventions Jul 22, 2019
OBJECTIVES: This study sought to develop and compare an array of machine learning methods to predict in-hospital mortality after transcatheter aortic valve replacement (TAVR) in the United States.
Aged Aged, 80 and over Male Risk Assessment Treatment Outcome Predictive Value of Tests Transcatheter Aortic Valve Replacement Hospital Mortality United States Databases, Factual Clinical Decision-Making Female Humans Risk Factors Machine Learning Decision Support Techniques
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Impact of Artificial Intelligence on Interventional Cardiology: From Decision-Making Aid to Advanced Interventional Procedure Assistance.

JACC. Cardiovascular interventions Jul 22, 2019
Access to big data analyzed by supercomputers using advanced mathematical algorithms (i.e., deep machine learning) has allowed for enhancement of cognitive output (i.e., visual imaging interpretation) to previously unseen levels and promises to funda...
Predictive Value of Tests Cardiovascular Diseases Therapy, Computer-Assisted Patient Selection Humans Robotics Diagnosis, Computer-Assisted Diffusion of Innovation Cardiac Catheterization Workflow Deep Learning Machine Learning Supervised Machine Learning Unsupervised Machine Learning Decision Support Techniques Clinical Decision-Making
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Comparison of Machine Learning Optimal Classification Trees With the Pediatric Emergency Care Applied Research Network Head Trauma Decision Rules.

JAMA pediatrics Jul 1, 2019
IMPORTANCE: Computed tomographic (CT) scanning is the standard for the rapid diagnosis of intracranial injury, but it is costly and exposes patients to ionizing radiation. The Pediatric Emergency Care Applied Research Network (PECARN) rules for ident...
Child, Preschool Child Follow-Up Studies Emergency Medical Services Triage Emergency Service, Hospital Trauma Severity Indices Craniocerebral Trauma Infant, Newborn Male Infant Adolescent Machine Learning Decision Support Techniques Prospective Studies Female Humans
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A Predictive Model for Determining Patients Not Requiring Prolonged Hospital Length of Stay After Elective Primary Total Hip Arthroplasty.

Anesthesia and analgesia Jul 1, 2019
BACKGROUND: Hospital length of stay (LOS) is an important quality metric for total hip arthroplasty. Accurately predicting LOS is important to expectantly manage bed utilization and other hospital resources. We aimed to develop a predictive model for...
Female Risk Factors Aged Male Humans Machine Learning Decision Support Techniques Retrospective Studies Treatment Outcome Predictive Value of Tests Elective Surgical Procedures Arthroplasty, Replacement, Hip Middle Aged Risk Assessment Length of Stay Time Factors
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Artificial intelligence and the clinical world: a view from the front line.

The Medical journal of Australia Apr 1, 2019
Artificial Intelligence General Practice Humans Decision Support Techniques Australia Emergency Service, Hospital Patient Admission
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Nomogram and Artificial Neural Network for Prognostic Performance on the Albumin-Bilirubin Grade for Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization.

Journal of vascular and interventional radiology : JVIR Mar 1, 2019
PURPOSE: To construct the albumin-bilirubin (ALBI) grade and the Child-Turcotte-Pugh (CTP) score based on nomograms, as well as to develop an artificial neural network (ANN) to compare the prognostic performance of the 2 scores for hepatocellular car...
Carcinoma, Hepatocellular Humans Bilirubin Middle Aged Nomograms Neural Networks, Computer Female Chemoembolization, Therapeutic China Treatment Outcome Decision Support Techniques Reproducibility of Results Serum Albumin, Human Time Factors Retrospective Studies Neoplasm Grading Biomarkers, Tumor Liver Neoplasms Male
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Regulation of predictive analytics in medicine.

Science (New York, N.Y.) Feb 22, 2019
United States Benchmarking Humans United States Food and Drug Administration Artificial Intelligence Evidence-Based Medicine Algorithms Decision Support Techniques
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