Prediction of peripartum depression (mom2b)
Mom2B is a unique research study about peripartum depression and preterm birth, which investigates the possibility of using data collected via a mobile application to detect at an early-stage women at high risk of complications during pregnancy and after childbirth.
Peripartum depression refers to women’s suffering from a low mood during pregnancy and up to a year after the baby is born. Every year, 16,000 women suffer from depression during pregnancy or after childbirth, and four women commit suicide on an annual basis in Sweden. Despite the healthcare system’s routines for following up women during pregnancy and after childbirth, only one in three women receives treatment.
The Mom2B study is based on a smartphone application that the women can use to answer questionnaires, record their voice and share data from the mobile phone's various sensors, something that is also called digital phenotyping. They can of course choose which data they want to contribute and change their consent later.
The purpose of the project is to predict by utilizing state-of-the-art multimodal machine learning which women are at high risk of suffering from peripartum depression so that they can receive tailored follow-up and preventive interventions.