There is a lot of excitement around supervised learning approaches to phenotyping, and corresponding work in high-throughput validation approaches. Typically, in such approaches we think of building (and validating) one classifier per phenotype (or outcome).
What if we could build a multi-task classifier? Would it help? Would it hurt? Check out our experiments at https://arxiv.org/abs/1808.03331.