{"id":"1806.01551","title":"Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare","url":"https://codeofpaper.com/paper/1806.01551","arxiv_url":"https://arxiv.org/abs/1806.01551","published":"2018-06-05","code":"official","best":{"full_name":"jik0730/Deep-Mixed-Effect-Model-using-Gaussian-Processes","url":"https://github.com/jik0730/Deep-Mixed-Effect-Model-using-Gaussian-Processes","tier":"official","stars":13,"license":null,"framework":null,"language":"Python","last_commit":"2019-11-21T13:40:01"},"most_starred_community":null,"implementations":[{"full_name":"jik0730/Deep-Mixed-Effect-Model-using-Gaussian-Processes","url":"https://github.com/jik0730/Deep-Mixed-Effect-Model-using-Gaussian-Processes","tier":"official","stars":13,"license":null,"framework":null,"language":"Python","last_commit":"2019-11-21T13:40:01"}],"possible_matches":0}