AIMC Topic: Predictive Value of Tests

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A Machine Learning Approach to the Interpretation of Cardiopulmonary Exercise Tests: Development and Validation.

Pulmonary medicine May 31, 2021
OBJECTIVE: At present, there is no consensus on the best strategy for interpreting the cardiopulmonary exercise test's (CPET) results. This study is aimed at assessing the potential of using computer-aided algorithms to evaluate CPET data for identif...
Middle Aged Humans Aged Support Vector Machine Adult Machine Learning Chronic Disease Pulmonary Disease, Chronic Obstructive Retrospective Studies Predictive Value of Tests Male Female Exercise Test Heart Failure Respiratory Function Tests
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Prediction of Major Complications and Readmission After Lumbar Spinal Fusion: A Machine Learning-Driven Approach.

World neurosurgery May 28, 2021
BACKGROUND: Given the significant cost and morbidity of patients undergoing lumbar fusion, accurate preoperative risk-stratification would be of great utility. We aim to develop a machine learning model for prediction of major complications and readm...
Humans Machine Learning Algorithms Retrospective Studies Female Lumbar Vertebrae Models, Statistical Risk Assessment Patient Readmission Predictive Value of Tests Postoperative Complications Risk Factors Area Under Curve ROC Curve Aged Spinal Fusion Logistic Models Male Treatment Outcome Middle Aged
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The evaluation of COVID-19 prediction precision with a Lyapunov-like exponent.

PloS one May 28, 2021
In the field of machine learning, building models and measuring their performance are two equally important tasks. Currently, measures of precision of regression models' predictions are usually based on the notion of mean error, where by error we mea...
COVID-19 SARS-CoV-2 Predictive Value of Tests Models, Biological Humans Machine Learning
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Prognostic Value of Pulmonary Transit Time and Pulmonary Blood Volume Estimation Using Myocardial Perfusion CMR.

JACC. Cardiovascular imaging May 19, 2021
OBJECTIVES: The purpose of this study was to explore the prognostic significance of PTT and PBVi using an automated, inline method of estimation using CMR.
Prognosis Retrospective Studies Female Risk Factors Male Ventricular Function, Left Stroke Volume Middle Aged Predictive Value of Tests Humans Artificial Intelligence Perfusion Magnetic Resonance Spectroscopy Blood Volume Magnetic Resonance Imaging, Cine
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Deep-Learning Models for the Echocardiographic Assessment of Diastolic Dysfunction.

JACC. Cardiovascular imaging May 19, 2021
OBJECTIVES: The authors explored a deep neural network (DeepNN) model that integrates multidimensional echocardiographic data to identify distinct patient subgroups with heart failure with preserved ejection fraction (HFpEF).
Predictive Value of Tests Heart Failure Humans Ventricular Function, Left Stroke Volume Echocardiography Deep Learning
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Machine Learning Analysis of MicroRNA Expression Data Reveals Novel Diagnostic Biomarker for Ischemic Stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association May 19, 2021
OBJECTIVES: Ischemic stroke (IS) is one of the leading causes of morbidity and mortality worldwide. Circulating microRNAs have a potential as minimally invasive biomarkers for disease prediction, diagnosis, and prognosis. In this study, we sought to ...
Predictive Value of Tests Ischemic Stroke Diagnosis, Computer-Assisted Feasibility Studies Real-Time Polymerase Chain Reaction Circulating MicroRNA Support Vector Machine Humans MicroRNAs Neural Networks, Computer Machine Learning Reproducibility of Results Aged Middle Aged Case-Control Studies
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Prediction of Motor Function in Stroke Patients Using Machine Learning Algorithm: Development of Practical Models.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association May 19, 2021
BACKGROUND: Machine learning (ML) techniques are being increasingly adopted in the medical field.
Recovery of Function Predictive Value of Tests Functional Status Stroke Extremities Diagnosis, Computer-Assisted Deep Learning Time Factors Logistic Models Motor Activity Humans Decision Support Techniques Prognosis Retrospective Studies Female Reproducibility of Results Aged Male Middle Aged
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Direct Comparison of the Prediction of the Unbound Brain-to-Plasma Partitioning Utilizing Machine Learning Approach and Mechanistic Neuropharmacokinetic Model.

The AAPS journal May 18, 2021
The mechanistic neuropharmacokinetic (neuroPK) model was established to predict unbound brain-to-plasma partitioning (K) by considering in vitro efflux activities of multiple drug resistance 1 (MDR1) and breast cancer resistance protein (BCRP). Herei...
Male Rats Predictive Value of Tests Dogs Models, Biological Machine Learning Blood-Brain Barrier Animals ATP Binding Cassette Transporter, Subfamily G, Member 2 Madin Darby Canine Kidney Cells Datasets as Topic Models, Animal ATP Binding Cassette Transporter, Subfamily B
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Diagnostic Accuracies of Laryngeal Diseases Using a Convolutional Neural Network-Based Image Classification System.

The Laryngoscope May 17, 2021
OBJECTIVES/HYPOTHESIS: There may be an interobserver variation in the diagnosis of laryngeal disease based on laryngoscopic images according to clinical experience. Therefore, this study is aimed to perform computer-assisted diagnosis for common lary...
ROC Curve Humans Predictive Value of Tests Retrospective Studies Feasibility Studies Deep Learning Image Interpretation, Computer-Assisted Datasets as Topic Laryngoscopy Laryngeal Diseases Larynx
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Machine-intelligence for developing a potent signature to predict ovarian response to tailor assisted reproduction technology.

Aging May 17, 2021
The prediction of poor ovarian response (POR) for stratified interference is a critical clinical issue that has received an increasing amount of recent concern. Anthropogenic diagnostic modes remain too simple for the handling of actual clinical comp...
Female Adult Cohort Studies Estradiol Support Vector Machine Humans Neural Networks, Computer Machine Learning Anti-Mullerian Hormone Infertility, Female Algorithms Models, Biological Models, Statistical Prospective Studies Ovarian Follicle Decision Trees Ovary Predictive Value of Tests Reproductive Techniques, Assisted
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