AIMC Topic: Machine Learning

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Why do people oppose mask wearing? A comprehensive analysis of U.S. tweets during the COVID-19 pandemic.

Journal of the American Medical Informatics Association : JAMIA Jul 14, 2021
OBJECTIVE: Facial masks are an essential personal protective measure to fight the COVID-19 (coronavirus disease) pandemic. However, the mask adoption rate in the United States is still less than optimal. This study aims to understand the beliefs held...
Humans Machine Learning Public Opinion Masks Attitude to Health COVID-19 United States Social Media
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Detection system of dead and sick chickens in large scale farms based on artificial intelligence.

Mathematical biosciences and engineering : MBE Jul 13, 2021
With the continuous enrichment of scientific and technological means, the production of most chicken farms has been able to achieve automation, but for the dead and sick chickens in the farm, there is no automatic monitoring step, only through contin...
Chickens Algorithms Artificial Intelligence Animals Farms Machine Learning
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Thousands of induced germline mutations affecting immune cells identified by automated meiotic mapping coupled with machine learning.

Proceedings of the National Academy of Sciences of the United States of America Jul 13, 2021
Forward genetic studies use meiotic mapping to adduce evidence that a particular mutation, normally induced by a germline mutagen, is causative of a particular phenotype. Particularly in small pedigrees, cosegregation of multiple mutations, occasiona...
Probability Automation Meiosis Germ-Line Mutation Mice, Inbred C57BL Flow Cytometry Leukocytes Male Mice Software Algorithms Phenotype Female Reproducibility of Results Animals Machine Learning
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Disease gene prediction with privileged information and heteroscedastic dropout.

Bioinformatics (Oxford, England) Jul 12, 2021
MOTIVATION: Recently, machine learning models have achieved tremendous success in prioritizing candidate genes for genetic diseases. These models are able to accurately quantify the similarity among disease and genes based on the intuition that simil...
Machine Learning Algorithms Databases, Genetic Humans Neural Networks, Computer
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Malware detection based on semi-supervised learning with malware visualization.

Mathematical biosciences and engineering : MBE Jul 2, 2021
The traditional signature-based detection method requires detailed manual analysis to extract the signatures of malicious samples, and requires a large number of manual markers to maintain the signature library, which brings a great time and resource...
Machine Learning Algorithms Supervised Machine Learning
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Neuroevolutionary Learning of Particles and Protocols for Self-Assembly.

Physical review letters Jul 2, 2021
Within simulations of molecules deposited on a surface we show that neuroevolutionary learning can design particles and time-dependent protocols to promote self-assembly, without input from physical concepts such as thermal equilibrium or mechanical ...
Surface Properties Monte Carlo Method Neural Networks, Computer Machine Learning Models, Chemical
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eSkip-Finder: a machine learning-based web application and database to identify the optimal sequences of antisense oligonucleotides for exon skipping.

Nucleic acids research Jul 2, 2021
Exon skipping using antisense oligonucleotides (ASOs) has recently proven to be a powerful tool for mRNA splicing modulation. Several exon-skipping ASOs have been approved to treat genetic diseases worldwide. However, a significant challenge is the d...
Machine Learning Software Internet RNA Splicing Exons Oligonucleotides, Antisense Introns Databases, Nucleic Acid Sequence Analysis
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Vaxign2: the second generation of the first Web-based vaccine design program using reverse vaccinology and machine learning.

Nucleic acids research Jul 2, 2021
Vaccination is one of the most significant inventions in medicine. Reverse vaccinology (RV) is a state-of-the-art technique to predict vaccine candidates from pathogen's genome(s). To promote vaccine development, we updated Vaxign2, the first web-bas...
Vaccinology Workflow Drug Design Vaccines COVID-19 Vaccines Antigens, Viral Software Spike Glycoprotein, Coronavirus COVID-19 Proteome SARS-CoV-2 Humans Epitopes Machine Learning Internet
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Clinical Performance of a Gene-Based Machine Learning Classifier in Assessing Risk of Developing OUD in Subjects Taking Oral Opioids: A Prospective Observational Study.

Annals of clinical and laboratory science Jul 1, 2021
OBJECTIVE: To reduce the incidence of Opioid Use Disorder (OUD), multiple guidelines recommend assessing the risk of OUD prior to prescribing oral opioids. Although subjective risk assessments are available to help classify subjects at risk for OUD, ...
Opioid-Related Disorders Follow-Up Studies Analgesics, Opioid Female Genetic Markers Genotype Aged Humans Middle Aged Aged, 80 and over United States Young Adult Machine Learning Prospective Studies Risk Assessment Adult Prognosis Adolescent Male
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Using machine learning to automate ultrasound-based classification of butt-fused joints in medium-density polyethylene gas pipes.

The Journal of the Acoustical Society of America Jul 1, 2021
Polyethylene (PE) pipes are widely used in gas distribution. Their joints are prone to various flaws and are the most problematic part of the pipeline, so the infrastructure industry requires an effective inspection technique. Butt-fusion (BF) is the...
Neural Networks, Computer Machine Learning Ultrasonography Polyethylene Transducers
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