AIMC Topic: Predictive Value of Tests

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Identifying patients with familial hypercholesterolemia using data mining methods in the Northern Great Plain region of Hungary.

Atherosclerosis Oct 1, 2018
BACKGROUND AND AIMS: Familial hypercholesterolemia (FH) is one of the most frequent diseases with monogenic inheritance. Previous data indicated that the heterozygous form occurred in 1:250 people. Based on these reports, around 36,000-40,000 people ...
Humans Phenotype Biomarkers Prognosis Electronic Health Records Deep Learning Adolescent Genetic Predisposition to Disease Female Cholesterol Mass Screening Young Adult Hyperlipoproteinemia Type II Predictive Value of Tests Data Mining Adult Cholesterol, LDL Hungary Male Middle Aged
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Can Machine-learning Techniques Be Used for 5-year Survival Prediction of Patients With Chondrosarcoma?

Clinical orthopaedics and related research Oct 1, 2018
BACKGROUND: Several studies have identified prognostic factors for patients with chondrosarcoma, but there are few studies investigating the accuracy of computationally intensive methods such as machine learning. Machine learning is a type of artific...
United States Support Vector Machine Bone Neoplasms Decision Trees Predictive Value of Tests Bayes Theorem SEER Program Chondrosarcoma Middle Aged Diagnosis, Computer-Assisted Adolescent Time Factors Aged Child Aged, 80 and over Young Adult Adult Male Neural Networks, Computer Decision Support Techniques Humans Prognosis Retrospective Studies Female Reproducibility of Results
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Surgical Risk Is Not Linear: Derivation and Validation of a Novel, User-friendly, and Machine-learning-based Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) Calculator.

Annals of surgery Oct 1, 2018
INTRODUCTION: Most risk assessment tools assume that the impact of risk factors is linear and cumulative. Using novel machine-learning techniques, we sought to design an interactive, nonlinear risk calculator for Emergency Surgery (ES).
Surgical Procedures, Operative Risk Assessment Postoperative Complications Emergencies User-Computer Interface Predictive Value of Tests Humans Machine Learning Decision Support Techniques
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Supervised Machine-learning Predictive Analytics for Prediction of Postinduction Hypotension.

Anesthesiology Oct 1, 2018
WHAT WE ALREADY KNOW ABOUT THIS TOPIC: WHAT THIS ARTICLE TELLS US THAT IS NEW: BACKGROUND:: Hypotension is a risk factor for adverse perioperative outcomes. Machine-learning methods allow large amounts of data for development of robust predictive ana...
Humans Female Aged Adult Male Hypotension Middle Aged Postoperative Complications Predictive Value of Tests Anesthesia, General Supervised Machine Learning
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Applying Artificial Intelligence to Identify Physiomarkers Predicting Severe Sepsis in the PICU.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Oct 1, 2018
OBJECTIVES: We used artificial intelligence to develop a novel algorithm using physiomarkers to predict the onset of severe sepsis in critically ill children.
Humans Artificial Intelligence Machine Learning Prospective Studies Female Organ Dysfunction Scores Intensive Care Units, Pediatric Male Respiratory Rate Logistic Models Case-Control Studies Monitoring, Physiologic Sepsis Predictive Value of Tests Adolescent Heart Rate Child
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Development and Validation of a Deep Neural Network Model for Prediction of Postoperative In-hospital Mortality.

Anesthesiology Oct 1, 2018
WHAT WE ALREADY KNOW ABOUT THIS TOPIC: WHAT THIS ARTICLE TELLS US THAT IS NEW: BACKGROUND:: The authors tested the hypothesis that deep neural networks trained on intraoperative features can predict postoperative in-hospital mortality.
Humans Hospital Mortality Neural Networks, Computer ROC Curve Machine Learning Predictive Value of Tests Female Aged Adult Male Middle Aged Postoperative Complications
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Hemodynamic Instability and Cardiovascular Events After Traumatic Brain Injury Predict Outcome After Artifact Removal With Deep Belief Network Analysis.

Journal of neurosurgical anesthesiology Oct 1, 2018
BACKGROUND: Hemodynamic instability and cardiovascular events heavily affect the prognosis of traumatic brain injury. Physiological signals are monitored to detect these events. However, the signals are often riddled with faulty readings, which jeopa...
Female Aged Young Adult Adult Male Cardiovascular Diseases Humans Machine Learning Predictive Value of Tests Artifacts False Positive Reactions Cerebrovascular Circulation Tachycardia Middle Aged Intracranial Hypotension Prevalence Hemodynamics Adolescent Brain Injuries, Traumatic
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Prediction of Response to Stereotactic Radiosurgery for Brain Metastases Using Convolutional Neural Networks.

Anticancer research Sep 1, 2018
BACKGROUND: It is unclear whether radiomic phenotypes of brain metastases (BM) are related to radiation therapy prognosis. This study assessed whether a convolutional neural network (CNN)-based radiomics model which learned computer tomography (CT) i...
Young Adult Adult Area Under Curve Humans Brain Neoplasms Clinical Decision-Making Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Male Adolescent Female Radiosurgery Machine Learning Middle Aged Reproducibility of Results Time Factors Decision Support Techniques Aged ROC Curve Tomography, X-Ray Computed Aged, 80 and over Treatment Outcome Predictive Value of Tests
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Use of Machine Learning to Determine Deviance in Neuroanatomical Maturity Associated With Future Psychosis in Youths at Clinically High Risk.

JAMA psychiatry Sep 1, 2018
IMPORTANCE: Altered neurodevelopmental trajectories are thought to reflect heterogeneity in the pathophysiologic characteristics of schizophrenia, but whether neural indicators of these trajectories are associated with future psychosis is unclear.
Magnetic Resonance Imaging Predictive Value of Tests Psychotic Disorders Neuropsychological Tests Prodromal Symptoms Social Skills Risk Assessment Adolescent Child, Preschool Child Longitudinal Studies Brain Humans Prognosis Machine Learning Female Prospective Studies Young Adult Male
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Predicting the Ability of Wounds to Heal Given Any Burn Size and Fluid Volume: An Analytical Approach.

Journal of burn care & research : official publication of the American Burn Association Aug 17, 2018
The intrinsic relationship between fluid volume and open wound size (%) has not been previously examined. Therefore, we conducted this study to investigate whether open wound size can be predicted from fluid volume plus other significant factors over...
Wound Healing Humans Hospitalization Crystalloid Solutions Predictive Value of Tests Adult Machine Learning Fluid Therapy Male Retrospective Studies Burns Middle Aged Female Multivariate Analysis Age Factors Reproducibility of Results
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