The Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Freelancer.com, and Adiona are hosting a webinar about NICHD’s challenge: NICHD Decoding Maternal Morbidity Data Challenge.
The webinar is an opportunity for you to learn:
- The background of the challenge
- What NICHD is seeking in the solutions
- How to participate in the challenge
- Live Q&A with NICHD
Link to challenge page:
Using computational analysis, data mining, artificial intelligence and other methods, winning entrants will need to devise ways for analyzing the vast store of participant data from the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be (nuMoM2b), a racially, ethnically and geographically diverse sample of people beginning in the sixth week of pregnancy and continuing through delivery. The challenge goal is to devise new ways of analyzing the large dataset from its Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-be (nuMoM2b) to identify factors that impact maternal morbidity and severe maternal morbidity so that clinicians can more quickly and accurately identify and treat pregnancy-related conditions and prevent severe illness or death for a pregnant person.