Identifying Strategies for Effective Telemedicine Use in Intensive Care Units: The ConnECCT Study Protocol

por Rak, Kimberly J., Kuza, Courtney C., Ashcraft, Laura Ellen, Morrison, Penelope K., Angus, Derek C., Barnato, Amber E., Hravnak, Marilyn, Hershey, Tina B., Kahn, Jeremy M.
Publicado 2017

Integrating human services and criminal justice data with claims data to predict risk of opioid overdose among Medicaid beneficiaries: A machine-learning approach

por Lo-Ciganic, Wei-Hsuan, Donohue, Julie M., Hulsey, Eric G., Barnes, Susan, Li, Yuan, Kuza, Courtney C., Yang, Qingnan, Buchanich, Jeanine, Huang, James L., Mair, Christina, Wilson, Debbie L., Gellad, Walid F.
Publicado 2021

Using machine learning to predict risk of incident opioid use disorder among fee-for-service Medicare beneficiaries: A prognostic study

por Lo-Ciganic, Wei-Hsuan, Huang, James L., Zhang, Hao H., Weiss, Jeremy C., Kwoh, C. Kent, Donohue, Julie M., Gordon, Adam J., Cochran, Gerald, Malone, Daniel C., Kuza, Courtney C., Gellad, Walid F.
Publicado 2020

Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions

por Lo-Ciganic, Wei-Hsuan, Huang, James L., Zhang, Hao H., Weiss, Jeremy C., Wu, Yonghui, Kwoh, C. Kent, Donohue, Julie M., Cochran, Gerald, Gordon, Adam J., Malone, Daniel C., Kuza, Courtney C., Gellad, Walid F.
Publicado 2019

Developing and validating a machine-learning algorithm to predict opioid overdose in Medicaid beneficiaries in two US states: a prognostic modelling study

por Lo-Ciganic, Wei-Hsuan, Donohue, Julie M, Yang, Qingnan, Huang, James L, Chang, Ching-Yuan, Weiss, Jeremy C, Guo, Jingchuan, Zhang, Hao H, Cochran, Gerald, Gordon, Adam J, Malone, Daniel C, Kwoh, Chian K, Wilson, Debbie L, Kuza, Courtney C, Gellad, Walid F
Publicado 2022