AIMC Topic: Reproducibility of Results

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Recurrent Neural Networks for Early Detection of Heart Failure From Longitudinal Electronic Health Record Data: Implications for Temporal Modeling With Respect to Time Before Diagnosis, Data Density, Data Quantity, and Data Type.

Circulation. Cardiovascular quality and outcomes Oct 15, 2019
BACKGROUND: We determined the impact of data volume and diversity and training conditions on recurrent neural network methods compared with traditional machine learning methods.
Humans Neural Networks, Computer Machine Learning Electronic Health Records Female Reproducibility of Results Risk Factors Primary Health Care Longitudinal Studies Predictive Value of Tests Heart Failure Early Diagnosis Male Diagnosis, Computer-Assisted Incidence Time Factors Smoking Alcohol Drinking California Vital Signs
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Identification and Quantification of Cardiovascular Structures From CCTA: An End-to-End, Rapid, Pixel-Wise, Deep-Learning Method.

JACC. Cardiovascular imaging Oct 11, 2019
OBJECTIVES: This study designed and evaluated an end-to-end deep learning solution for cardiac segmentation and quantification.
Radiographic Image Interpretation, Computer-Assisted Humans Registries Prospective Studies Heart Diseases Middle Aged Female Multidetector Computed Tomography Deep Learning Reproducibility of Results Computed Tomography Angiography Predictive Value of Tests Aged Coronary Angiography Male
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A Subject-Transfer Framework Based on Single-Trial EMG Analysis Using Convolutional Neural Networks.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 11, 2019
In recent years, electromyography (EMG)-based practical myoelectric interfaces have been developed to improve the quality of daily life for people with physical disabilities. With these interfaces, it is very important to decode a user's movement int...
Healthy Volunteers Movement Hand Machine Learning Electromyography Benchmarking Algorithms Adult Amputees Databases, Factual Male Intention Female Humans User-Computer Interface Reproducibility of Results Computer Systems Neural Networks, Computer
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Deep Learning in Quantitative PET Myocardial Perfusion Imaging: A Study on Cardiovascular Event Prediction.

JACC. Cardiovascular imaging Oct 11, 2019
Predictive Value of Tests Positron Emission Tomography Computed Tomography Coronary Artery Disease Image Interpretation, Computer-Assisted Myocardial Perfusion Imaging Disease Progression Diagnosis, Computer-Assisted Deep Learning Time Factors Models, Cardiovascular Humans Prognosis Female Reproducibility of Results Risk Factors Aged Male Middle Aged Risk Assessment
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Effects of corn straw on dissipation of polycyclic aromatic hydrocarbons and potential application of backpropagation artificial neural network prediction model for PAHs bioremediation.

Ecotoxicology and environmental safety Oct 10, 2019
In order to provide a viable option for remediation of PAHs-contaminated soils, a greenhouse experiment was conducted to assess the effect of corn straw amendment (1%, 2%, 4% or 6%, w/w) on dissipation of aged polycyclic aromatic hydrocarbons (PAHs) ...
Soil Microbiology Carbon Soil Pollutants Zea mays Biodegradation, Environmental Neural Networks, Computer Soil Reproducibility of Results Biomass Oxidoreductases Catalase Polycyclic Aromatic Hydrocarbons Molecular Weight Plant Structures
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Deep architectures for long-term stock price prediction with a heuristic-based strategy for trading simulations.

PloS one Oct 10, 2019
Stock price prediction is a popular yet challenging task and deep learning provides the means to conduct the mining for the different patterns that trigger its dynamic movement. In this paper, the task is to predict the close price for 25 companies e...
Investments Deep Learning Neural Networks, Computer Time Factors Algorithms Heuristics Computer Simulation Commerce Reproducibility of Results Romania
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Identification of a blood-based 12-gene signature that predicts the severity of coronary artery stenosis: An integrative approach based on gene network construction, Support Vector Machine algorithm, and multi-cohort validation.

Atherosclerosis Oct 9, 2019
BACKGROUND AND AIMS: We aimed to identify a blood-based gene expression score (GES) to predict the severity of coronary artery stenosis in patients with known or suspected coronary artery disease (CAD) by integrative use of gene network construction,...
Transcriptome Retrospective Studies Humans Support Vector Machine Male Female Decision Support Techniques Reproducibility of Results Phenotype China Predictive Value of Tests Middle Aged Risk Factors Gene Regulatory Networks Severity of Illness Index Coronary Stenosis Aged Genetic Predisposition to Disease Gene Expression Profiling Nomograms
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LightGBM: An Effective and Scalable Algorithm for Prediction of Chemical Toxicity-Application to the Tox21 and Mutagenicity Data Sets.

Journal of chemical information and modeling Oct 9, 2019
Machine learning algorithms have attained widespread use in assessing the potential toxicities of pharmaceuticals and industrial chemicals because of their faster speed and lower cost compared to experimental bioassays. Gradient boosting is an effect...
Drug Development Molecular Structure Drug-Related Side Effects and Adverse Reactions Datasets as Topic Mutagens Machine Learning Software Algorithms Reproducibility of Results
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Accuracy of a smartphone application for triage of skin lesions based on machine learning algorithms.

Journal of the European Academy of Dermatology and Venereology : JEADV Oct 8, 2019
BACKGROUND: Machine learning algorithms achieve expert-level accuracy in skin lesion classification based on clinical images. However, it is not yet shown whether these algorithms could have high accuracy when embedded in a smartphone app, where imag...
Sensitivity and Specificity Risk Assessment Smartphone Mobile Applications Diagnosis, Differential Humans Machine Learning Melanoma Skin Neoplasms Reproducibility of Results
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A Dual-Modal Attention-Enhanced Deep Learning Network for Quantification of Parkinson's Disease Characteristics.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 8, 2019
It is well known that most patients with Parkinson's disease (PD) have different degree of movement disorders, such as shuffling, festination and akinetic episodes, which could degenerate the life quality of PD patients. Therefore, it is very useful ...
Female Reproducibility of Results Aged Male Humans Deep Learning Middle Aged Neural Networks, Computer Parkinson Disease Algorithms Walking Computer Simulation Attention Gait Disorders, Neurologic
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