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Chiara Gennaro

Biographic Data

ID6180838
NAMEChiara Gennaro
GIVEN NAMESChiara
FAMILY NAMEGennaro
SIGNATUREGENNARO C
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS2
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2021
H-INDEX1
  • A model-driven approach to better identify older people at risk of depression

    Open Access•Chiara Gennaro, Omar Paccagnella et al.•ARTICLE•Ageing and Society•2021•Cited by: 2•References: 39

    Depression in later life is one of the most common mental disorders. Several instruments have been developed to detect the presence or the absence of certain symptoms or emotional disorders, based on cut-off points. However, the use of a cut-off does not allow identification of depression sub-types or distinguish between mild and severe depression. As a result, depression may be under- or over-diagnosed in older people. This paper aims to apply a…

  • A model-driven approach to better identify older people at risk of depression

    Open Access•Chiara Gennaro, Omar Paccagnella et al.•ARTICLE•Ageing and Society•2021•Cited by: 2•References: 39

    Depression in later life is one of the most common mental disorders. Several instruments have been developed to detect the presence or the absence of certain symptoms or emotional disorders, based on cut-off points. However, the use of a cut-off does not allow identification of depression sub-types or distinguish between mild and severe depression. As a result, depression may be under- or over-diagnosed in older people. This paper aims to apply a…

  • A model-driven approach to better identify older people at risk of depression

    Open Access•Chiara Gennaro, Omar Paccagnella et al.•ARTICLE•Ageing and Society•2021•Cited by: 2•References: 39

    Depression in later life is one of the most common mental disorders. Several instruments have been developed to detect the presence or the absence of certain symptoms or emotional disorders, based on cut-off points. However, the use of a cut-off does not allow identification of depression sub-types or distinguish between mild and severe depression. As a result, depression may be under- or over-diagnosed in older people. This paper aims to apply a…

Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Class (philosophy) (1 works) · Clinical Psychology (1 works) · Cognition (1 works) · Computer Science (1 works) · Depression (economics) (1 works) · Depressive symptoms (1 works) · Employment and Welfare Studies (1 works) · Geography (1 works)

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