Published on in Vol 9, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31442, first published .
Assessing the Value of Unsupervised Clustering in Predicting Persistent High Health Care Utilizers: Retrospective Analysis of Insurance Claims Data

Assessing the Value of Unsupervised Clustering in Predicting Persistent High Health Care Utilizers: Retrospective Analysis of Insurance Claims Data

Assessing the Value of Unsupervised Clustering in Predicting Persistent High Health Care Utilizers: Retrospective Analysis of Insurance Claims Data

New JMIR MedInform: Assessing the Value of Unsupervised Clustering in Predicting Persistent High #health Care Utili… https://t.co/tjL7UTDmj9

3:42 PM · Nov 25, 2021

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RT @jmirpub: New JMIR MedInform: Assessing the Value of Unsupervised Clustering in Predicting Persistent High #health Care Utilizers: Retro…

3:43 PM · Nov 25, 2021

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RT @jmirpub: New JMIR MedInform: Assessing the Value of Unsupervised Clustering in Predicting Persistent High #health Care Utilizers: Retro…

3:43 PM · Nov 25, 2021

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A high proportion of health care services are used by a small subpopulation of patients. Can we better predict pati… https://t.co/Y5sMsH54zQ

6:28 PM · Dec 20, 2021

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A high proportion of health care services are used by a small subpopulation of patients. Can we better predict pati… https://t.co/Y5sMsH54zQ

6:28 PM · Dec 20, 2021

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RT @JohnsHopkinsPHA: A high proportion of health care services are used by a small subpopulation of patients. Can we better predict patient…

10:31 AM · Dec 21, 2021

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RT @JohnsHopkinsPHA: A high proportion of health care services are used by a small subpopulation of patients. Can we better predict patient…

10:31 AM · Dec 21, 2021

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