‪Patrick Emedom-Nnamdi‬ - ‪Google Scholar‬

Patrick Emedom-Nnamdi

Patrick Emedom-Nnamdi

PhD Candidate, Harvard University

Verified email at hsph.harvard.edu - Homepage

statistical machine learning reinforcement learning digital phenotyping mobile health


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31.4 The Feasibility and Clinical Utility of Digital Phenotyping to Assess Sleep Duration and Quality in Youth A Van Meter, D Huang, P Emedom-Nnamdi Journal of the American Academy of Child & Adolescent Psychiatry 62 (10), S373, 2023		2023
Nonparametric Additive Value Functions: Interpretable Reinforcement Learning with an Application to Surgical Recovery P Emedom-Nnamdi, TR Smith, JP Onnela, J Lu arXiv preprint arXiv:2308.13135, 2023		2023
Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning P Emedom-Nnamdi, AL Friesen, B Shahriari, N de Freitas, MW Hoffman arXiv preprint arXiv:2305.03870, 2023		2023
STASIS: Reinforcement Learning Simulators for Human-Centric Real-World Environments G Efstathiadis, P Emedom-Nnamdi, A Kolbeinsson, JP Onnela, J Lu International Workshop on Trustworthy Machine Learning for Healthcare, 85-92, 2023		2023
Characterizing the Digital Phenotype of Bipolar Disorder in Youth A Van Meter, D Huang, P Emedom-Nnamdi, JP Onnela Biological Psychiatry 93 (9), S65-S66, 2023		2023
Interpretable Statistical Learning for Real-World Behavioral Data PU Emedom-Nnamdi Harvard University, 2023		2023
Smartphone-based digital phenotyping has promise as a method to detect mood changes in adolescents A Van Meter, P Emedom-Nnamdi, D Huang, JP Onnela BIPOLAR DISORDERS 24, 41-41, 2022		2022
Pain Prediction in Neurological Spine Disease Patient Using Digital Phenotyping A Rana, P Emedom-Nnamdi, F Siddi, JP Onnela NeurIPS 2021 - Machine Learning from Ground Truth Workshop, 2021		2021
Digital Phenotypic Assessment in Neuro-Oncology (DANO): tracking changes in sociability in patients undergoing treatment for brain malignancies F Siddi, P Emedom-Nnamdi, M Catalino, A Boaro, HY Dawood, ... Brain and Spine 1, 100812, 2021		2021
Queueing Analysis of a Chagas Disease Control Campaign MT Rieders, P Emedom-Nnamdi, MZ Levy arXiv preprint arXiv:1706.08668, 2017		2017

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