AIMC Topic: Young Adult
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Generating automated kidney transplant biopsy reports combining molecular measurements with ensembles of machine learning classifiers.
American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons
Apr 10, 2019
We previously reported a system for assessing rejection in kidney transplant biopsies using microarray-based gene expression data, the Molecular Microscope Diagnostic System (MMDx). The present study was designed to optimize the accuracy and stabilit...
Differences in muscle activity and fatigue of the upper limb between Task-Specific training and robot assisted training among individuals post stroke.
Journal of biomechanics
Apr 10, 2019
OBJECTIVE: To compare the activity and fatigue of upper extremity muscles, pain levels, subject satisfaction levels, perceived exertion, and number of repetitions in Task-Specific Training (TST) compared with Robot-Assisted Training (RAT) in individu...
Application of Machine Learning to Identify Clustering of Cardiometabolic Risk Factors in U.S. Adults.
Diabetes technology & therapeutics
Apr 10, 2019
The aim of this study is to compare some machine learning methods with traditional statistical parametric analyses using logistic regression to investigate the relationship of risk factors for diabetes and cardiovascular (cardiometabolic risk) for U...
Main factors influencing recovery in MERS Co-V patients using machine learning.
Journal of infection and public health
Apr 10, 2019
BACKGROUND: Middle East Respiratory Syndrome (MERS) is a major infectious disease which has affected the Middle Eastern countries, especially the Kingdom of Saudi Arabia (KSA) since 2012. The high mortality rate associated with this disease has been ...
Adolescent
Child, Preschool
Child
Humans
Support Vector Machine
Machine Learning
Regression Analysis
Health Personnel
Bayes Theorem
Female
Male
Aged
Coronavirus Infections
Middle Aged
Young Adult
Multivariate Analysis
Infant
Adult
Middle East Respiratory Syndrome Coronavirus
Severity of Illness Index
Survival
Saudi Arabia
TSE-CNN: A Two-Stage End-to-End CNN for Human Activity Recognition.
IEEE journal of biomedical and health informatics
Apr 9, 2019
Human activity recognition has been widely used in healthcare applications such as elderly monitoring, exercise supervision, and rehabilitation monitoring. Compared with other approaches, sensor-based wearable human activity recognition is less affec...
Identifying Factors That Affect Patient Survival After Orthotopic Liver Transplant Using Machine-Learning Techniques.
Experimental and clinical transplantation : official journal of the Middle East Society for Organ Transplantation
Apr 9, 2019
OBJECTIVES: Survival after liver transplant depends on pretransplant, peritransplant, and posttransplant factors. Identifying effective factors for patient survival after transplant can help transplant centers make better decisions.
Confidence resets reveal hierarchical adaptive learning in humans.
PLoS computational biology
Apr 9, 2019
Hierarchical processing is pervasive in the brain, but its computational significance for learning under uncertainty is disputed. On the one hand, hierarchical models provide an optimal framework and are becoming increasingly popular to study cogniti...
Heterogeneous effects of alveolar recruitment in acute respiratory distress syndrome: a machine learning reanalysis of the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial.
British journal of anaesthesia
Apr 5, 2019
BACKGROUND: Despite a robust physiological rationale, recruitment manoeuvres with PEEP titration were associated with harm in the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial (ART). We sought to investigate the potential heterog...
Development of a Strategy to Predict and Detect Falls Using Wearable Sensors.
Journal of medical systems
Apr 4, 2019
Falls are a prevalent problem in actual society. Some falls result in injuries and the cost associated with their treatment is high. This is a complex problem that requires several steps in order to be tackled. Firstly, it is crucial to develop strat...
A two-site survey of medical center personnel's willingness to share clinical data for research: implications for reproducible health NLP research.
BMC medical informatics and decision making
Apr 4, 2019
BACKGROUND: A shareable repository of clinical notes is critical for advancing natural language processing (NLP) research, and therefore a goal of many NLP researchers is to create a shareable repository of clinical notes, that has breadth (from mult...
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