Article

Human DNA AI Model to Predict COVID-19 Symptomatic or Asymptomatic Percentages

2021-07-29

Abstract excerpt

The current paper proposes to use convolutional neural networks (CNN) to analyze human genome single nucleotide variants (SNVs) from nuclear deoxyribonucleic acid (DNA) and mitochondrial deoxyribonucleic acid (mtDNA) presented as a 2D image structure to understand if the answer to COVID-19 severities can be found in the human genome. That methodology was implemented with 447 Mexican population samples. From the re...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: b2d47c2b-7cff-54cf-a88e-68b1d85dd812
DOI: 10.21203/rs.3.rs-745363/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Human DNA AI Model to Predict COVID-19 Symptomatic or Asymptomatic PercentagesDOI 10.21203/rs.3.rs-745363/v1Read

Interpretable detection of novel human viruses from genome sequencing dataSemantic proximity Read

A Convolutional Deep Learning Approach to identify DNA Sequences for Gene PredictionSemantic proximity Read

Artificial intelligence in clinical and genomic diagnostics.Semantic proximity Read

Attention-Based Hybrid Deep Learning Models for Classifying COVID-19 Genome SequencesSemantic proximity Read

Cnn-based Dna Pattern Analysis for Missing Person Identification in Mass Casualty and Forensic ScenariosSemantic proximity Read

Emergent populations derived with unsupervised learning of human whole genomesSemantic proximity Read

Exploration of deep-learning based classification with human SNP image graphsSemantic proximity Read

AI-Driven Approaches for the Detection, Classification, and Surveillance of Viral Pathogens: Current Advances, Challenges, and Future DirectionsSemantic proximity Read

AIDCOV: An Interpretable Artificial Intelligence Model for Detection of COVID-19 from Chest Radiography ImagesSemantic proximity Read

A new COVID-19 detection method from human genome sequences using CpG island features and KNN classifierSemantic proximity Read

Applying Deep Learning for Genome Detection of CoronavirusSemantic proximity Read

COVID-19 Genome Sequence Analysis for New Variant Prediction and GenerationSemantic proximity Read