Causal Discovery from Population-Based Infant Birth and Death Records

Proceedings of the AAAI Conference on Artificial Intelligence, 16

Volume

Proceedings of the AAAI Conference on Artificial Intelligence, 16

Student Abstracts

The most useful explanation of a phenomenon is of- ten a description of the underlying causal processes (Salmon 1998). This is particularly true in the domain of medicine where identification of the causal factors of a disease in uence treatment planning and develop- ment ofintervention strategies for disease prevention and control. The study described here focuses on causal discovery from observational data related to infant mor- tality in the United States.