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Health Care Professionals and Data Scientists' Perspectives on a Machine Learning System to Anticipate and Manage the Risk of Decompensation From Patients With Heart Failure: Qualitative Interview Study.

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Title: Health Care Professionals and Data Scientists' Perspectives on a Machine Learning System to Anticipate and Manage the Risk of Decompensation From Patients With Heart Failure: Qualitative Interview Study.
Authors: Seringa, Joana1 (AUTHOR) jm.seringa@ensp.unl.pt, Hirata, Anna2 (AUTHOR), Pedro, Ana Rita1 (AUTHOR), Santana, Rui1 (AUTHOR), Magalhães, Teresa1 (AUTHOR)
Source: Journal of Medical Internet Research. 2025, Vol. 27, p1-12. 12p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Medical+Internet+Research%22">Journal of Medical Internet Research</searchLink>. 2025, Vol. 27, p1-12. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=190700043
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        Value: 10.2196/54990
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      – Code: eng
        Text: English
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        PageCount: 12
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      – TitleFull: Health Care Professionals and Data Scientists' Perspectives on a Machine Learning System to Anticipate and Manage the Risk of Decompensation From Patients With Heart Failure: Qualitative Interview Study.
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            NameFull: Seringa, Joana
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            NameFull: Hirata, Anna
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            NameFull: Pedro, Ana Rita
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            NameFull: Santana, Rui
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            NameFull: Magalhães, Teresa
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            – D: 01
              M: 01
              Text: 2025
              Type: published
              Y: 2025
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              Value: 27
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            – TitleFull: Journal of Medical Internet Research
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