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NeurostimML: A machine learning model for predicting neurostimulation-induced tissue damage

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.10.18.562980Source: DataRank Database

NeurostimML: A machine learning model for predicting neurostimulation-induced tissue damage is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.208. It has been cited 3 times.

N/A

0.208DataRank · unranked

Scored on demand from live citation data

Open Access3 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: greenTopics (30)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.208

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (7)

Rebecca A. Frederick ORCID,Daniel George ORCID,Stuart F. Cogan ORCID,Joseph J. Pancrazio ORCID,Leonidas Bleris ORCID

Live enrichment

PubMed:37905012 OpenAlex:https://openalex.org/W4387845403

National Science Foundation

Grant: 2114192

Collaborative Research: Genome editing approaches to unravel microRNA roles in stochastic multistable networks

National Institutes of Health

Grant: 1K99NS135194-01

Targeted Neuroplasticity via vagus nerve stimulation to improve urinary dysfunction after spinal cord injury

NINDS NIH HHS

Grant: K99 NS135194

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/10/21/2023.10.18.562980.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.10.18.562980

repositoryhttps://doi.org/10.1101/2023.10.18.562980

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37905012

Fields of Study

Planarian Biology and ElectrostimulationNeuroscience and Neural EngineeringNeurological disorders and treatments0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Random forestStimulationDuty cycleStandard deviationArtificial intelligenceAmplitudeComputer scienceLogistic regressionStatisticsMachine learningMathematicsVoltagePhysicsPsychologyNeurosciencePaperDatabases, FactualHumansAnimalsArticleElectric StimulationAlgorithmsShannon equationneuromodulationsafe stimulation

Sustainable Development Goals

SDG 0: Life in Land