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Interpretation of machine learning predictions for patient outcomes in electronic health records.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Electronic health records are an increasingly important resource for understanding the interactions between patient health, environment, and clinical decisions. In this paper we report an empirical study of predictive modeling of seven patient outcom...
Logistic Models Electronic Health Records Models, Theoretical Female Models, Statistical Male Patient Outcome Assessment Humans Machine Learning
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An Introduction to Machine Learning.

Clinical pharmacology and therapeutics Mar 3, 2020
In the last few years, machine learning (ML) and artificial intelligence have seen a new wave of publicity fueled by the huge and ever-increasing amount of data and computational power as well as the discovery of improved learning algorithms. However...
Humans Pharmacology, Clinical Machine Learning Models, Theoretical Cluster Analysis
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Fusing Self-Organized Neural Network and Keypoint Clustering for Localized Real-Time Background Subtraction.

International journal of neural systems Mar 2, 2020
Moving object detection in video streams plays a key role in many computer vision applications. In particular, separation between background and foreground items represents a main prerequisite to carry out more complex tasks, such as object classific...
Humans Models, Theoretical Datasets as Topic Neural Networks, Computer Cluster Analysis Pattern Recognition, Automated Image Interpretation, Computer-Assisted Subtraction Technique
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An AI-based approach in determining the effect of meteorological factors on incidence of malaria.

Frontiers in bioscience (Landmark edition) Mar 1, 2020
This study presents the classification of malaria-prone zones based on (a) meteorological factors, (b) demographics and (c) patient information. Observations are performed on extended features in dataset over the spiking and non-spiking classifiers i...
Reproducibility of Results Animals Incidence Humans Neural Networks, Computer Algorithms Malaria Insect Vectors India Meteorological Concepts Models, Theoretical Support Vector Machine
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Using a machine learning approach to predict mortality in critically ill influenza patients: a cross-sectional retrospective multicentre study in Taiwan.

BMJ open Feb 25, 2020
OBJECTIVES: Current mortality prediction models used in the intensive care unit (ICU) have a limited role for specific diseases such as influenza, and we aimed to establish an explainable machine learning (ML) model for predicting mortality in critic...
Cross-Sectional Studies Male Middle Aged Critical Illness Female Adult Influenza, Human Outcome Assessment, Health Care Hospital Mortality Models, Theoretical Taiwan Humans Machine Learning Retrospective Studies
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Model-Informed Artificial Intelligence: Reinforcement Learning for Precision Dosing.

Clinical pharmacology and therapeutics Feb 23, 2020
The availability of multidimensional data together with the development of modern techniques for data analysis represent an exceptional opportunity for clinical pharmacology. Data science-defined in this special issue as the novel approaches to the c...
Dose-Response Relationship, Drug Reinforcement, Psychology Pharmacology, Clinical Precision Medicine Learning Humans Models, Theoretical Artificial Intelligence
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A systematic evaluation of the evidence for perceptual control theory in tracking studies.

Neuroscience and biobehavioral reviews Feb 21, 2020
Perceptual control theory (PCT) proposes that perceptual inputs are controlled to intentional 'reference' states by hierarchical negative feedback control, evidence for which comes from manual tracking experiments in humans. We reviewed these experim...
Psychomotor Performance Motor Activity Visual Perception Models, Theoretical Robotics Attention Humans
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ChronoMID-Cross-modal neural networks for 3-D temporal medical imaging data.

PloS one Feb 21, 2020
ChronoMID-neural networks for temporally-varying, hence Chrono, Medical Imaging Data-makes the novel application of cross-modal convolutional neural networks (X-CNNs) to the medical domain. In this paper, we present multiple approaches for incorporat...
Deep Learning Neural Networks, Computer Imaging, Three-Dimensional Bone Remodeling Machine Learning Models, Theoretical Female X-Ray Microtomography Mice Mice, Inbred C57BL Data Interpretation, Statistical Animals Spatio-Temporal Analysis
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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 Models, Theoretical Deep Learning Databases as Topic Statistics as Topic
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Performance assessment of a new optimization system for robotic SBRT MLC-based plans.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Feb 20, 2020
PURPOSE: To assess the performance of a new optimization system, VOLO, for CyberKnife MLC-based SBRT plans in comparison with the existing Sequential optimizer.
Humans Algorithms Female Reproducibility of Results Male Radiosurgery Neoplasms Models, Theoretical Radiotherapy Planning, Computer-Assisted Robotics Radiotherapy Dosage Organs at Risk Radiotherapy, Intensity-Modulated
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