The rate of isolated malaria and dengue-malaria co-infection was high in probable cases of dengue fever in our study. Except for jaundice, we could not find any significant between-group differences in the severity of the disease.

Dengue shock syndrome and expanded dengue syndrome were the most common causes of death.

Standard reinforcement learning methods aim to master one way of solving a task whereas there may exist multiple near-optimal policies. Being able to identify this collection of near-optimal policies can allow a domain expert to efficiently explore the space of reasonable solutions. Unfortunately, existing approaches that quantify uncertainty over policies are not ultimately relevant to finding policies with qualitatively distinct behaviors. In this work, we formalize the difference between policies as a difference between the distribution of trajectories induced by each policy, which encourages diversity with respect to both state visitation and action choices. We derive a gradient-based optimization technique that can be combined with existing policy gradient methods to now identify diverse collections of well-performing policies. We demonstrate our approach on benchmarks and a healthcare task.

Percutaneous endoscopic gastrostomy tube insertion is a useful means of providing enteral nutrition to patients with swallowing problems. Patients with head and neck cancer who are likely to develop dysphagia should be assessed promptly for PEG tube insertion before the start of radiation. Early recognition and prompt treatment of serious complications can avoid potential fatality associated with PEG tubes.