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Circulation. Cardiovascular quality and outcomes
Research Hotspot & Journal Scope - Prediction


Circulation. Cardiovascular quality and outcomes - DOI: 10.1161/CIRCOUTCOMES.119.005675
Joint Shock/Death Risk Prediction Model for Patients Considering Implantable Cardioverter-Defibrillators.

Harrison T Reeder · Changyu Shen · Alfred E Buxton · Sebastien J Haneuse · Daniel B Kramer ·

Medicine
PDF
Circulation. Cardiovascular quality and outcomes - DOI: 10.1161/CIRCOUTCOMES.118.005595
Atrial Fibrillation Burden Signature and Near-Term Prediction of Stroke: A Machine Learning Analysis.

Lichy Han · Mariam Askari · Russ B Altman · Susan K Schmitt · Jun Fan · Jason P Bentley · Sanjiv M Narayan · Mintu P Turakhia ·

Medicine
PDF
Circulation. Cardiovascular quality and outcomes - DOI: 10.1161/CIRCOUTCOMES.119.005854
Comparative Performance of Prediction Models for Contrast-Associated Acute Kidney Injury After Percutaneous Coronary Intervention.

Bryan Ma · David W Allen · Michelle M Graham · Bryan J Har · Ben Tyrrell · Zhi Tan · John A Spertus · Jeremiah R Brown · Michael E Matheny · Brenda R Hemmelgarn · Neesh Pannu · Matthew T James ·

Medicine
PDF

Recurrent neural networks (RNN) and its subclasses have been demonstrated to be well suited for creating prediction models.

Exploiting Event Log Event Attributes in RNN Based Prediction [10.1007/978-3-030-46633-6_4]


8%, improving prediction accuracy by 77.

Anisotropic Diffusion for Improved Crime Prediction in Urban China [10.3390/IJGI8050234]


The study objective was to evaluate the utility of incorporating herdmate data into genomic predictions in a data set composed of 3,303 Holsteins from one herd in Canada and 6 herds throughout the United States.

Inclusion of herdmate data improves genomic prediction for milk-production and feed-efficiency traits within North American dairy herds. [10.3168/jds.2019-16820]


We subsequently compared the performance of these algorithms for target gene prediction, which integrates gene perturbation data with the cell-based PPI network using two drug target prioritization methods, shortest path and diffusion correlation.

A Comparative Study of Cluster Detection Algorithms in Protein–Protein Interaction for Drug Target Discovery and Drug Repurposing [10.3389/fphar.2019.00109]


Fruit detection and localization will be essential for future agronomic management of fruit crops, with applications in yield prediction, yield mapping and automated harvesting.

Multi-modal deep learning for Fuji apple detection using RGB-D cameras and their radiometric capabilities [10.1016/J.COMPAG.2019.05.016]


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