Use of Latent Class Analysis and k-Means Clustering to Identify Complex Patient Profiles is a research paper published in JAMA Network Open (2020). On theSindex it has a DataRank of 0. It has been cited 175 times.
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FWCI
9.18
Citation Percentile
1.0%
Citation Trend
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Sustainable Development Goals
Additional file 1 of Use of latent profile analysis and k-means clustering to identify student anxiety profiles
Additional file 1 of Use of latent profile analysis and k-means clustering to identify student anxiety profiles
Additional file 2 of Use of latent profile analysis and k-means clustering to identify student anxiety profiles
Additional file 2 of Use of latent profile analysis and k-means clustering to identify student anxiety profiles
Additional file 1 of Two-year change in latent classes of comorbidity among high-risk Veterans in primary care: a brief report
Additional file 1 of Two-year change in latent classes of comorbidity among high-risk Veterans in primary care: a brief report
Additional file 1 of The role of trauma and positive youth development in polysubstance use among rural middle school students: a latent class analysis
Additional file 1 of The role of trauma and positive youth development in polysubstance use among rural middle school students: a latent class analysis
Additional file 2 of The role of trauma and positive youth development in polysubstance use among rural middle school students: a latent class analysis
Additional file 2 of The role of trauma and positive youth development in polysubstance use among rural middle school students: a latent class analysis
Additional file 1 of Association of socioeconomic deprivation with outcomes in critically ill adult patients: an observational prospective multicenter cohort study
Additional file 1 of Association of socioeconomic deprivation with outcomes in critically ill adult patients: an observational prospective multicenter cohort study