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Estimating individualized treatment rules for multicategory type 2 diabetes treatments using electronic health records

Statistics and Its Interface(2023)10.4310/22-sii739Source: DataRank Database

Estimating individualized treatment rules for multicategory type 2 diabetes treatments using electronic health records is a research paper published in Statistics and Its Interface (2023). On theSindex it has a DataRank of 0.

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0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 0.00)OA: greenTopics (20)IDs (PubMed, PMC, OpenAlex)

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 (4)

Yuanjia Wang ORCID,Lang Li ORCID,Donglin Zeng ORCID,Jitong Lou ORCID

Live enrichment

PubMed:38344146 PMC:PMC10857856 OpenAlex:https://openalex.org/W4365806947

NINDS NIH HHS

Grant: R01 NS073671

NIMH NIH HHS

Grant: R01 MH123487

NIMH NIH HHS

Grant: R21 MH117458

NIGMS NIH HHS

Grant: R01 GM124104

FWCI

0.00

Citation Percentile

0.1%

green

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10857856/pdf/nihms-1918115.pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10857856

journalhttp://dx.doi.org/10.4310/22-sii739

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38344146

Fields of Study

Diabetes Treatment and ManagementMachine Learning in HealthcareDiabetes Management and Research

Keywords

Health recordsWeightingGlycated hemoglobinDiabetes treatmentMachine learningArtificial intelligenceMathematicsType 2 diabetesComputer scienceMedicineData miningDiabetes mellitusHealth careElectronic Health RecordsLatent ProcessIndividualized Treatment RulesMulticategory Treatments