AIMC Topic:
Databases, Factual

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Exploring Active Learning Based on Representativeness and Uncertainty for Biomedical Data Classification.

IEEE journal of biomedical and health informatics Nov 13, 2018
Nowadays, there is an abundance of biomedical data, such as images and genetic sequences, among others. However, there is a lack of annotation to such volume of data, due to the high costs involved to perform this task. Thus, it is mandatory to devel...
Diagnosis, Computer-Assisted Medical Informatics Knowledge Discovery Algorithms Databases, Factual Neoplasms Humans Machine Learning
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Kafnets: Kernel-based non-parametric activation functions for neural networks.

Neural networks : the official journal of the International Neural Network Society Nov 13, 2018
Neural networks are generally built by interleaving (adaptable) linear layers with (fixed) nonlinear activation functions. To increase their flexibility, several authors have proposed methods for adapting the activation functions themselves, endowing...
Neural Networks, Computer Databases, Factual Algorithms Neurons
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Transforming health policy through machine learning.

PLoS medicine Nov 13, 2018
In their Perspective, Ara Darzi and Hutan Ashrafian give us a tour of the future policymaker's machine learning toolkit.
Humans Data Mining Medical Informatics Government Regulation Machine Learning Policy Making Databases, Factual Electronic Health Records Health Policy
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Applying machine learning to continuously monitored physiological data.

Journal of clinical monitoring and computing Nov 11, 2018
The use of machine learning (ML) in healthcare has enormous potential for improving disease detection, clinical decision support, and workflow efficiencies. In this commentary, we review published and potential applications for the use of ML for moni...
Adult Respiration, Artificial Sepsis Decision Support Systems, Clinical Monitoring, Physiologic Randomized Controlled Trials as Topic Delirium Arrhythmias, Cardiac Wavelet Analysis Algorithms Humans Clinical Alarms Machine Learning Databases, Factual Software Atrial Fibrillation Intensive Care Units Electronic Health Records Critical Care Expert Systems
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Multiple Human-Behaviour Indicators for Predicting Lung Cancer Mortality with Support Vector Machine.

Scientific reports Nov 9, 2018
Lung cancer is still one of the most common causes of death around the world, while there is overwhelming evidence that the environment and lifestyle factors are predominant causes of most sporadic cancers. However, when applying human-behaviour indi...
Alcohol Drinking Feeding Behavior Databases, Factual Support Vector Machine Female Environmental Exposure Risk Factors Humans Smoking Aged Neural Networks, Computer Aged, 80 and over Male Lung Neoplasms Socioeconomic Factors
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Prediction of Farnesoid X Receptor Disruptors with Machine Learning Methods.

Chemical research in toxicology Nov 8, 2018
The farnesoid X receptor (FXR) emerges as a promising drug target involved in regulating various metabolic pathways, yet some xenobiotic compounds binding to FXR would be an important determinant to induce the receptor dysfunctions that lead to undes...
Area Under Curve Benzimidazoles Receptors, Cytoplasmic and Nuclear Xenobiotics Humans Machine Learning Databases, Factual ROC Curve
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Chest Radiographs in Congestive Heart Failure: Visualizing Neural Network Learning.

Radiology Nov 6, 2018
Purpose To examine Generative Visual Rationales (GVRs) as a tool for visualizing neural network learning of chest radiograph features in congestive heart failure (CHF). Materials and Methods A total of 103 489 frontal chest radiographs in 46 712 pati...
Aged Heart Failure Aged, 80 and over Natriuretic Peptide, Brain Young Adult Radiography, Thoracic Neural Networks, Computer Child, Preschool Adult Thorax Databases, Factual Female Child Male Humans Infant, Newborn ROC Curve Middle Aged Radiographic Image Interpretation, Computer-Assisted Infant Adolescent
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Machine learning predicts individual cancer patient responses to therapeutic drugs with high accuracy.

Scientific reports Nov 6, 2018
Precision or personalized cancer medicine is a clinical approach that strives to customize therapies based upon the genomic profiles of individual patient tumors. Machine learning (ML) is a computational method particularly suited to the establishmen...
Precision Medicine Female Biomarkers, Tumor Neoplasms Machine Learning Algorithms Databases, Factual Predictive Value of Tests Fluorouracil Genome, Human Antimetabolites, Antineoplastic Transcriptome Computational Biology Support Vector Machine Ovarian Neoplasms Humans Deoxycytidine Gemcitabine
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Visual attention mechanism and support vector machine based automatic image annotation.

PloS one Nov 6, 2018
Automatic image annotation not only has the efficiency of text-based image retrieval but also achieves the accuracy of content-based image retrieval. Users of annotated images can locate images they want to search by providing keywords. Currently mos...
Image Interpretation, Computer-Assisted Visual Perception Image Processing, Computer-Assisted Models, Theoretical Support Vector Machine Attention Humans Algorithms Databases, Factual
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Data-Driven Elasticity Imaging Using Cartesian Neural Network Constitutive Models and the Autoprogressive Method.

IEEE transactions on medical imaging Nov 5, 2018
Quasi-static elasticity imaging techniques rely on model-based mathematical inverse methods to estimate mechanical parameters from force-displacement measurements. These techniques introduce simplifying assumptions that preclude exploration of unknow...
Databases, Factual Computer Simulation Image Processing, Computer-Assisted Phantoms, Imaging Finite Element Analysis Elastic Modulus Elasticity Imaging Techniques Neural Networks, Computer Algorithms
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