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Jeremy C Weiss

Showing results (21-30 of 31) with videos related to

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Advances in Knowledge Discovery and Data Mining : ... Pacific-Asia Conference, PAKDD ..., Proceedings. Pacific-Asia Conference on Knowledge Discovery and Data Mining|July 10, 2024
Using Multimodal Data to Improve Precision of Inpatient Event TimelinesGabriel Frattallone-Llado, Juyong Kim, Cheng Cheng, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 2, 2023
Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19Helen Zhou, Cheng Cheng, Kelly J Shields, et al.
International Journal of Health Geographics|March 21, 2007
Comparing a single-stage geocoding method to a multi-stage geocoding method: how much and where do they disagree?Gina S Lovasi, Jeremy C Weiss, Richard Hoskins, et al.
Journal of General Internal Medicine|February 12, 2020
Occupational Patterns of Opioid-Related Overdose Deaths Among Arizona Medicaid Enrollees, 2008-2017Rohan Chalasani, Wei-Hsuan Lo-Ciganic, James L Huang, et al.
Journal of General Internal Medicine|January 22, 2021
Predicting Mortality Risk After a Hospital or Emergency Department Visit for Nonfatal Opioid OverdoseJingchuan Guo, Wei-Hsuan Lo-Ciganic, Qingnan Yang, et al.
Plos One|July 18, 2020
Using machine learning to predict risk of incident opioid use disorder among fee-for-service Medicare beneficiaries: A prognostic studyWei-Hsuan Lo-Ciganic, James L Huang, Hao H Zhang, et al.
Addiction (Abingdon, England)|March 22, 2022
Changes in predicted opioid overdose risk over time in a state Medicaid program: a group-based trajectory modeling analysisJingchuan Guo, Walid F Gellad, Qingnan Yang, et al.
JAMA Network Open|March 23, 2019
Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid PrescriptionsWei-Hsuan Lo-Ciganic, James L Huang, Hao H Zhang, et al.
The Lancet. Digital Health|May 27, 2022
Developing and validating a machine-learning algorithm to predict opioid overdose in Medicaid beneficiaries in two US states: a prognostic modelling studyWei-Hsuan Lo-Ciganic, Julie M Donohue, Qingnan Yang, et al.
JAMA|May 20, 2019
Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for SepsisChristopher W Seymour, Jason N Kennedy, Shu Wang, et al.
Pageof 4

Showing results (21-30 of 31) with videos related to

Sort By:
Pageof 4
Advances in Knowledge Discovery and Data Mining : ... Pacific-Asia Conference, PAKDD ..., Proceedings. Pacific-Asia Conference on Knowledge Discovery and Data Mining|July 10, 2024
Using Multimodal Data to Improve Precision of Inpatient Event TimelinesGabriel Frattallone-Llado, Juyong Kim, Cheng Cheng, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 2, 2023
Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19Helen Zhou, Cheng Cheng, Kelly J Shields, et al.
International Journal of Health Geographics|March 21, 2007
Comparing a single-stage geocoding method to a multi-stage geocoding method: how much and where do they disagree?Gina S Lovasi, Jeremy C Weiss, Richard Hoskins, et al.
Journal of General Internal Medicine|February 12, 2020
Occupational Patterns of Opioid-Related Overdose Deaths Among Arizona Medicaid Enrollees, 2008-2017Rohan Chalasani, Wei-Hsuan Lo-Ciganic, James L Huang, et al.
Journal of General Internal Medicine|January 22, 2021
Predicting Mortality Risk After a Hospital or Emergency Department Visit for Nonfatal Opioid OverdoseJingchuan Guo, Wei-Hsuan Lo-Ciganic, Qingnan Yang, et al.
Plos One|July 18, 2020
Using machine learning to predict risk of incident opioid use disorder among fee-for-service Medicare beneficiaries: A prognostic studyWei-Hsuan Lo-Ciganic, James L Huang, Hao H Zhang, et al.
Addiction (Abingdon, England)|March 22, 2022
Changes in predicted opioid overdose risk over time in a state Medicaid program: a group-based trajectory modeling analysisJingchuan Guo, Walid F Gellad, Qingnan Yang, et al.
JAMA Network Open|March 23, 2019
Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid PrescriptionsWei-Hsuan Lo-Ciganic, James L Huang, Hao H Zhang, et al.
The Lancet. Digital Health|May 27, 2022
Developing and validating a machine-learning algorithm to predict opioid overdose in Medicaid beneficiaries in two US states: a prognostic modelling studyWei-Hsuan Lo-Ciganic, Julie M Donohue, Qingnan Yang, et al.
JAMA|May 20, 2019
Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for SepsisChristopher W Seymour, Jason N Kennedy, Shu Wang, et al.
Pageof 4