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Comparison of time series clustering methods for identifying novel subphenotypes of patients with infection

Journal of the American Medical Informatics Association(2023)10.1093/jamia/ocad063Source: DataRank Database

Comparison of time series clustering methods for identifying novel subphenotypes of patients with infection is a research paper published in Journal of the American Medical Informatics Association (2023). On theSindex it has a DataRank of 0. It has been cited 26 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access26 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (16 grants)Impact (FWCI 3.46)OA: greenTopics (34)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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Authors (9)

Li Xiong ORCID,Abish Pius ORCID,Matthew W. Semler ORCID,Edward T. Qian ORCID,Philip A. Verhoef ORCID

Live enrichment

PubMed:37043759 OpenAlex:https://openalex.org/W4365138356

NIGMS

Grant: GM144867

NIGMS

Grant: GM145330

Department of Defens

Grant: W81XWH-21-1-0009

NHLBI

Grant: R01HL157262

NIDDK

Grant: DK126933

NIGMS

Grant: GM072808

NIGMS

Grant: GM104323

NIGMS

Grant: GM148217

NHLBI

Grant: T32HL087738

NCATS

Grant: UL1TR002378

NIGMS NIH HHS

Grant: R01 GM072808

NIGMS NIH HHS

Grant: R35 GM148217

NIGMS NIH HHS

Grant: R01 GM104323

NIGMS NIH HHS

Grant: K23 GM144867

NIGMS NIH HHS

Grant: R35 GM145330

NIDDK NIH HHS

Grant: R01 DK126933

FWCI

3.46

Citation Percentile

0.9%

Citation Trend

2023

2024

2025

2026

greenLicense: https://academic.oup.com/pages/standard-publication-reuse-rights

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10198539/pdf/ocad063.pdf

publisherhttps://academic.oup.com/jamia/article-pdf/30/6/1158/50374606/ocad063.pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10198539

journalhttps://doi.org/10.1093/jamia/ocad063

Fields of Study

Time Series Analysis and ForecastingSepsis Diagnosis and TreatmentMachine Learning in HealthcareHumansTime FactorsCluster AnalysisFeverAlgorithmsPatients

MeSH Terms

AlgorithmsFeverHumansPatientsTime FactorsCluster Analysis

Keywords

Dynamic time warpingMedoidCluster analysisVital signsMedicineSepsisOdds ratioHierarchical clusteringInternal medicineOddsBioinformaticsComputer scienceArtificial intelligenceLogistic regressionSurgeryBiologyinfectionphenotypessubphenotypes

Sustainable Development Goals

SDG 0: Good health and well-being