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.