AIMC Topic: Machine Learning

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Use AI to mine literature for policymaking.

Nature Jul 1, 2020
Data Mining Policy Making Artificial Intelligence Machine Learning Administrative Personnel Big Data Natural Language Processing
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Automatic Machine Learning to Differentiate Pediatric Posterior Fossa Tumors on Routine MR Imaging.

AJNR. American journal of neuroradiology Jul 1, 2020
BACKGROUND AND PURPOSE: Differentiating the types of pediatric posterior fossa tumors on routine imaging may help in preoperative evaluation and guide surgical resection planning. However, qualitative radiologic MR imaging review has limited performa...
Adolescent Child, Preschool Child Male Infant Infratentorial Neoplasms Magnetic Resonance Imaging Humans Image Interpretation, Computer-Assisted Machine Learning Neuroimaging Retrospective Studies Female
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Using Machine Learning to Predict Primary Care and Advance Workforce Research.

Annals of family medicine Jul 1, 2020
PURPOSE: To develop and test a machine-learning-based model to predict primary care and other specialties using Medicare claims data.
Area Under Curve Medicare Workforce Physicians, Primary Care Insurance Claim Review Humans Machine Learning Algorithms ROC Curve Cross-Sectional Studies Primary Health Care United States
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Fully interpretable deep learning model of transcriptional control.

Bioinformatics (Oxford, England) Jul 1, 2020
MOTIVATION: The universal expressibility assumption of Deep Neural Networks (DNNs) is the key motivation behind recent worksin the systems biology community to employDNNs to solve important problems in functional genomics and moleculargenetics. Typic...
Neural Networks, Computer Genomics Gene Expression Regulation Machine Learning Deep Learning
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EvoLSTM: context-dependent models of sequence evolution using a sequence-to-sequence LSTM.

Bioinformatics (Oxford, England) Jul 1, 2020
MOTIVATION: Accurate probabilistic models of sequence evolution are essential for a wide variety of bioinformatics tasks, including sequence alignment and phylogenetic inference. The ability to realistically simulate sequence evolution is also at the...
Machine Learning Software Phylogeny Sequence Alignment Neural Networks, Computer
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Imputing missing RNA-sequencing data from DNA methylation by using a transfer learning-based neural network.

GigaScience Jul 1, 2020
BACKGROUND: Gene expression plays a key intermediate role in linking molecular features at the DNA level and phenotype. However, owing to various limitations in experiments, the RNA-seq data are missing in many samples while there exist high-quality ...
Gene Expression Regulation Computational Biology Epigenesis, Genetic Epigenomics DNA Methylation High-Throughput Nucleotide Sequencing CpG Islands Prognosis Reproducibility of Results Neoplasms Machine Learning Algorithms Humans Neural Networks, Computer
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Don't ask if artificial intelligence is good or fair, ask how it shifts power.

Nature Jul 1, 2020
Machine Learning Power, Psychological Vulnerable Populations Humans Congresses as Topic Empowerment Social Dominance
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An Improved Performance of Deep Learning Based on Convolution Neural Network to Classify the Hand Motion by Evaluating Hyper Parameter.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 1, 2020
High accuracy in pattern recognition based on electromyography(EMG) contributes to the effectiveness of prosthetics hand development. This study aimed to improve performance and simplify the deep learning pre-processing based on the convolution neura...
Neural Networks, Computer Machine Learning Deep Learning Hand Electromyography
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Using Machine Learning to Estimate Unobserved COVID-19 Infections in North America.

The Journal of bone and joint surgery. American volume Jul 1, 2020
BACKGROUND: The detection of coronavirus disease 2019 (COVID-19) cases remains a huge challenge. As of April 22, 2020, the COVID-19 pandemic continues to take its toll, with >2.6 million confirmed infections and >183,000 deaths. Dire projections are ...
North America Betacoronavirus Pneumonia, Viral Bayes Theorem Coronavirus Infections COVID-19 Forecasting Computer Simulation Humans SARS-CoV-2 Machine Learning Canada Pandemics United States
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Artificial Intelligence Needs Clinical Intelligence to Succeed.

JACC. Heart failure Jul 1, 2020
Algorithms Intelligence Heart Failure Humans Artificial Intelligence Machine Learning
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