AIMC Topic:
Models, Theoretical

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Deep representation learning for domain adaptable classification of infrared spectral imaging data.

Bioinformatics (Oxford, England) Jan 1, 2020
MOTIVATION: Applying infrared microscopy in the context of tissue diagnostics heavily relies on computationally preprocessing the infrared pixel spectra that constitute an infrared microscopic image. Existing approaches involve physical models, which...
Neural Networks, Computer Models, Theoretical Microscopy Spectrophotometry, Infrared Pathology Deep Learning Imaging, Three-Dimensional Computational Biology
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Bayesian framework for simulation of dynamical systems from multidimensional data using recurrent neural network.

Chaos (Woodbury, N.Y.) Dec 1, 2019
We suggest a new method for building data-driven dynamical models from observed multidimensional time series. The method is based on a recurrent neural network with specific structure, which allows for the joint reconstruction of both a low-dimension...
Probability Stochastic Processes Atmosphere Data Analysis Algorithms Computer Simulation Models, Theoretical Bayes Theorem Signal Processing, Computer-Assisted Neural Networks, Computer
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Network physiology in insomnia patients: Assessment of relevant changes in network topology with interpretable machine learning models.

Chaos (Woodbury, N.Y.) Dec 1, 2019
Network physiology describes the human body as a complex network of interacting organ systems. It has been applied successfully to determine topological changes in different sleep stages. However, the number of network links can quickly grow above th...
Humans Neural Networks, Computer Machine Learning Male Middle Aged Time Factors Models, Theoretical Female Young Adult Adult Decision Trees Sleep Initiation and Maintenance Disorders Age Distribution
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Prognostic models will be victims of their own success, unless….

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
Predictive analytics have begun to change the workflows of healthcare by giving insight into our future health. Deploying prognostic models into clinical workflows should change behavior and motivate interventions that affect outcomes. As users respo...
Prognosis Learning Health System Models, Theoretical Humans Machine Learning Forecasting
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Predictive analytics in health care: how can we know it works?

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
There is increasing awareness that the methodology and findings of research should be transparent. This includes studies using artificial intelligence to develop predictive algorithms that make individualized diagnostic or prognostic risk predictions...
Software Algorithms Humans Machine Learning Models, Theoretical Ownership Forecasting Prognosis Mobile Applications
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Using a machine learning algorithm to predict acute graft-versus-host disease following allogeneic transplantation.

Blood advances Nov 26, 2019
Acute graft-versus-host disease (aGVHD) is 1 of the critical complications that often occurs following allogeneic hematopoietic stem cell transplantation (HSCT). Thus far, various types of prediction scores have been created using statistical calcula...
Machine Learning Humans Hematopoietic Stem Cell Transplantation Algorithms Prognosis Female Transplantation, Homologous Models, Theoretical Reproducibility of Results Hematologic Diseases Area Under Curve Male Graft vs Host Disease
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Photonic human identification based on deep learning of back scattered laser speckle patterns.

Optics express Nov 25, 2019
The analysis of the dynamics of speckle patterns that are generated when laser light is back scattered from a tissue has been recently shown as very applicable for remote sensing of various bio-medical parameters. In this work, we present how the ana...
Models, Theoretical Humans Photons Algorithms Deep Learning
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Optimization of treatment strategy by using a machine learning model to predict survival time of patients with malignant glioma after radiotherapy.

Journal of radiation research Nov 22, 2019
The purpose of this study was to predict the survival time of patients with malignant glioma after radiotherapy with high accuracy by considering additional clinical factors and optimize the prescription dose and treatment duration for individual pat...
Male Middle Aged Adolescent Models, Theoretical Glioma Time Factors Child Aged, 80 and over Young Adult Adult Machine Learning Support Vector Machine Female Humans Survival Analysis Aged Dose-Response Relationship, Radiation
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How to Read Articles That Use Machine Learning: Users' Guides to the Medical Literature.

JAMA Nov 12, 2019
In recent years, many new clinical diagnostic tools have been developed using complicated machine learning methods. Irrespective of how a diagnostic tool is derived, it must be evaluated using a 3-step process of deriving, validating, and establishin...
Sensitivity and Specificity Humans Publications Models, Theoretical Machine Learning Algorithms
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Network context matters: graph convolutional network model over social networks improves the detection of unknown HIV infections among young men who have sex with men.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: HIV infection risk can be estimated based on not only individual features but also social network information. However, there have been insufficient studies using n machine learning methods that can maximize the utility of such information...
Disease Transmission, Infectious Social Networking Models, Statistical Homosexuality, Male Sexual Partners Prospective Studies Humans HIV Infections Young Adult Neural Networks, Computer Models, Theoretical Adult Machine Learning Male Adolescent
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