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HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining(2022)10.1145/3534678.3539056Source: DataRank Database

HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records is a research paper published in Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022). On theSindex it has a DataRank of 0. It has been cited 13 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access13 citations

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Cite:

Linked data & code

HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records · arXiv

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)Impact (FWCI 27.41)OA: bronzeTopics (15)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (6)

Sunny S. Lou ORCID,Benjamin C. Warner ORCID,Derek Harford ORCID,Thomas Kannampallil ORCID,Chenyang Lu ORCID

Live enrichment

PubMed:19162232 OpenAlex:https://openalex.org/W4281571830

NIH

Grant: 5T32GM108539-07

FWCI

27.41

Citation Percentile

1.0%

Citation Trend

2022

2023

2024

2025

2026

bronzeLicense: https://creativecommons.org/licenses/by-nc-sa/4.0/

conferencehttps://dl.acm.org/doi/pdf/10.1145/3534678.3539056

publisherhttps://dl.acm.org/doi/pdf/10.1145/3534678.3539056

publisherhttps://dl.acm.org/doi/10.1145/3534678.3539056

conferencehttps://doi.org/10.1145/3534678.3539056

repositoryhttp://arxiv.org/abs/2205.11680

Fields of Study

Healthcare professionals’ stress and burnoutClinical Reasoning and Diagnostic SkillsCardiac Health and Mental Health

Keywords

BurnoutWorkforceMachine learningComputer scienceScale (ratio)Medical recordArtificial intelligenceElectronic health recordPredictive modellingHealth careMedicineClinical psychology

HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records

10.48550/arxiv.2205.11680arXiv