2022
DOI: 10.1016/j.jdin.2022.08.021
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Using artificial intelligence to analyze publicly available social media posts to understand patient perspectives toward specific treatments of alopecia areata

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Cited by 2 publications
(2 citation statements)
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“…Patient perception of disease rather than the objective measurement of scalp hair loss was found to be more closely correlated with an effect on QoL. 5 Similarly, Jueng et al 2 found a notable disconnect between the efficacy of certain medical interventions for AA and the underlying emotions associated with those treatments in a patient-reported survey study. Kim et al 5 identified that patients with comorbid depressive disorders had lower rates of satisfaction with treatment than those without mental health issues, and an individualized approach to patient communication was recommended.…”
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confidence: 96%
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“…Patient perception of disease rather than the objective measurement of scalp hair loss was found to be more closely correlated with an effect on QoL. 5 Similarly, Jueng et al 2 found a notable disconnect between the efficacy of certain medical interventions for AA and the underlying emotions associated with those treatments in a patient-reported survey study. Kim et al 5 identified that patients with comorbid depressive disorders had lower rates of satisfaction with treatment than those without mental health issues, and an individualized approach to patient communication was recommended.…”
mentioning
confidence: 96%
“…Accordingly, in the dermatologic literature, understanding and addressing the psychosocial burden of hair loss associated with alopecia areata (AA) is increasingly recognized as a valuable adjunct to medical management. 1 , 2 , 3 , 4 , 5 …”
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confidence: 99%