AIMC Topic: Statistics as Topic

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Mixed-data deep learning in repeated predictions of general medicine length of stay: a derivation study.

Internal and emergency medicine Mar 16, 2021
The accurate prediction of likely discharges and estimates of length of stay (LOS) aid in effective hospital administration and help to prevent access block. Machine learning (ML) may be able to help with these tasks. For consecutive patients admitte...
Humans Deep Learning Length of Stay Logistic Models Area Under Curve Statistics as Topic Time Factors ROC Curve Primary Health Care
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Artificial intelligence and computational pathology.

Laboratory investigation; a journal of technical methods and pathology Jan 16, 2021
Data processing and learning has become a spearhead for the advancement of medicine, with pathology and laboratory medicine has no exception. The incorporation of scientific research through clinical informatics, including genomics, proteomics, bioin...
Humans Medical Informatics Artificial Intelligence Statistics as Topic Computational Biology Pathology, Clinical
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The role of data science and machine learning in Health Professions Education: practical applications, theoretical contributions, and epistemic beliefs.

Advances in health sciences education : theory and practice Nov 3, 2020
Data science is an inter-disciplinary field that uses computer-based algorithms and methods to gain insights from large and often complex datasets. Data science, which includes Artificial Intelligence techniques such as Machine Learning (ML), has bee...
Clinical Competence Data Science Statistics as Topic Humans Machine Learning Health Occupations
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Parkinson's disease detection from 20-step walking tests using inertial sensors of a smartphone: Machine learning approach based on an observational case-control study.

PloS one Jul 23, 2020
Parkinson's disease (PD) is a neurodegenerative disease inducing dystrophy of the motor system. Automatic movement analysis systems have potential in improving patient care by enabling personalized and more accurate adjust of treatment. These systems...
Support Vector Machine Machine Learning Cohort Studies Parkinson Disease Humans Exercise Test Smartphone Female Male Signal Processing, Computer-Assisted Walking Aged Middle Aged Statistics as Topic Case-Control Studies
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The understanding of congruent and incongruent referential gaze in 17-month-old infants: an eye-tracking study comparing human and robot.

Scientific reports Jul 17, 2020
Several studies have shown that the human gaze, but not the robot gaze, has significant effects on infant social cognition and facilitate social engagement. The present study investigates early understanding of the referential nature of gaze by compa...
Eye-Tracking Technology Time Factors Robotics Humans Female Infant Statistics as Topic Fixation, Ocular
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GPS-PBS: A Deep Learning Framework to Predict Phosphorylation Sites that Specifically Interact with Phosphoprotein-Binding Domains.

Cells May 20, 2020
Protein phosphorylation is essential for regulating cellular activities by modifying substrates at specific residues, which frequently interact with proteins containing phosphoprotein-binding domains (PPBDs) to propagate the phosphorylation signaling...
Phosphoproteins Statistics as Topic Binding Sites Databases, Protein Phosphorylation Protein Domains Algorithms Animals Deep Learning Protein Binding Proteome Signal Transduction Humans
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Assessing Graph-based Deep Learning Models for Predicting Flash Point.

Molecular informatics Feb 20, 2020
Flash points of organic molecules play an important role in preventing flammability hazards and large databases of measured values exist, although millions of compounds remain unmeasured. To rapidly extend existing data to new compounds many research...
Algorithms Deep Learning Models, Theoretical Databases as Topic Statistics as Topic
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Assessing the Heterogeneity of Complaints Related to Tinnitus and Hyperacusis from an Unsupervised Machine Learning Approach: An Exploratory Study.

Audiology & neuro-otology Feb 14, 2020
INTRODUCTION: Subjective tinnitus (ST) and hyperacusis (HA) are common auditory symptoms that may become incapacitating in a subgroup of patients who thereby seek medical advice. Both conditions can result from many different mechanisms, and as a con...
Statistics as Topic Hyperacusis Internet Data Mining Tinnitus Unsupervised Machine Learning Natural Language Processing Humans Machine Learning Quality of Life
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Fitting prediction rule ensembles to psychological research data: An introduction and tutorial.

Psychological methods Feb 10, 2020
Prediction rule ensembles (PREs) are a relatively new statistical learning method, which aim to strike a balance between predictive performance and interpretability. Starting from a decision tree ensemble, like a boosted tree ensemble or a random for...
Statistics as Topic Depressive Disorder Adolescent Psychology Prognosis Humans Female Adult Middle Aged Machine Learning Biomedical Research Young Adult Male Disease Progression Anxiety Disorders
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On the relationship of machine learning with causal inference.

European journal of epidemiology Sep 27, 2019
Algorithms Humans Statistics as Topic Machine Learning
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