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Health-Analytics Data to Evidence Suite (HADES): Open-Source Software for Observational Research

Studies in health technology and informatics(2024)10.3233/shti231108Source: DataRank Database

Health-Analytics Data to Evidence Suite (HADES): Open-Source Software for Observational Research is a research paper published in Studies in health technology and informatics (2024). On theSindex it has a DataRank of 0. It has been cited 25 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access25 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: hybridTopics (25)IDs (PubMed)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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Authors (16)

Jenna Reps ORCID,Adam Black ORCID,Frank DeFalco ORCID,Lee Evans,Egill A. Friðgeirsson ORCID

Live enrichment

PubMed:19162232

National Institutes of Health

Grant: 5R01AI153044-04

Statistical innovation to integrate sequences and phenotypes for scalable phylodynamic inference

European Commission

Grant: 806968

European Health Data and Evidence Network

National Institutes of Health

Grant: 5R01HG006139-06

Genomics, GPUs, and Next Generation Computational Statistics

hybridLicense: cc-by-nc

publisherhttps://ebooks.iospress.nl/pdf/doi/10.3233/SHTI231108

repositoryhttps://escholarship.org/content/qt5kr0s8zd/qt5kr0s8zd.pdf

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10868467/pdf/nihms-1965136.pdf

https://doi.org/10.3233/shti231108

https://pubmed.ncbi.nlm.nih.gov/38269952

Fields of Study

02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

Keywords

Observational researchDatabases, FactualDatabasesLibrary and Information StudiesInformation and Computing SciencesHealth Services and SystemsHealth SciencesHumansElectronic Health RecordsFactualopen-sourcesoftwareData ScienceApplied computingReproducibility of ResultsObservational Studies as Topicmachine learningNetworking and Information Technology R&D (NITRD)Public Health and Health ServicesepidemiologyPatient SafetyGeneric health relevanceMedical Informatics

Sustainable Development Goals

SDG 3: 3. Good health