Dr. Roy Perlis (Mass General Bringham, Boston) joins AJP Audio to discuss a machine learning model to examine electronic health records in individuals who had recently given birth designed to detect those who might develop postpartum depression.  Afterwards, AJP Editor-in-Chief Dr. Ned Kalin puts the rest of the June issue into context.

• 00:31     Perlis interview
• 02:56     Lack of validation in screening methods
• 04:03     Stumbling blocks on the road to validation
• 05:10     Synergy between screening scores and machine learning models
• 06:36     Issues with clinician adoption?
• 08:44     Administrative burden for running these models
• 10:38     Current clinical application
• 12:37     Screening without those with a history of depression
• 13:48     Limitations
• 15:30     Future research
• 17:26     Kalin interview
• 17:41     Clapp et al.
• 21:41     Kępińska et al.
• 25:19     Savitz et al.
• 25:25     Miller
• 28:38     Wall et al.

Transcript

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