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A novel method for causal structure discovery from EHR data and its application to type-2 diabetes mellitus

Scientific reports, 2021-10, Vol.11 (1), p.21025-21025, Article 21025

2021

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Predicting diabetes clinical outcomes using longitudinal risk factor trajectories

BMC medical informatics and decision making, 2020-01, Vol.20 (1), p.6-6, Article 6

2020

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Artificial Intelligence and Machine Learning in Health Care and Medical Sciences: Best Practices and Pitfalls

2024

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Robust Methods for Quantifying the Effect of a Continuous Exposure From Observational Data

IEEE journal of biomedical and health informatics, 2022-11, Vol.26 (11), p.5728-5737

2022

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Strategies for handling missing clinical data for automated surgical site infection detection from the electronic health record

Journal of biomedical informatics, 2017-04, Vol.68, p.112-120

2017

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Consensus modeling: Safer transfer learning for small health systems

Artificial intelligence in medicine, 2024-08, Vol.154, p.102899-102899, Article 102899

2024

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Applying Machine Learning Across Sites: External Validation of a Surgical Site Infection Detection Algorithm

Journal of the American College of Surgeons, 2021-06, Vol.232 (6), p.963-971.e1

2021

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Towards more Accessible Precision Medicine: Building a more Transferable Machine Learning Model to Support Prognostic Decisions for Micro- and Macrovascular Complications of Type 2 Diabetes Mellitus

Journal of medical systems, 2019-07, Vol.43 (7), p.185-12, Article 185

2019

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A Computational Method for Learning Disease Trajectories From Partially Observable EHR Data

IEEE journal of biomedical and health informatics, 2021-07, Vol.25 (7), p.2476-2486

2021

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IEEE_Xplore

The Value of Aggregated High-Resolution Intraoperative Data for Predicting Post-Surgical Infectious Complications at Two Independent Sites

Studies in health technology and informatics, 2019-08, Vol.264, p.398

2019

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Providers’ Response to Clinical Decision Support for QT Prolonging Drugs

Journal of medical systems, 2017-10, Vol.41 (10), p.161-161, Article 161

2017

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Automated Detection of Postoperative Surgical Site Infections Using Supervised Methods with Electronic Health Record Data

Studies in health technology and informatics, 2015, Vol.216, p.706

2015

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Accelerating Chart Review Using Automated Methods on Electronic Health Record Data for Postoperative Complications

AMIA ... Annual Symposium proceedings, 2016, Vol.2016, p.1822-1831

2016

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A Holistic Clustering Methodology for Liver Transplantation Survival

Nursing research (New York), 2018-07, Vol.67 (4), p.331

2018

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Clustering the Whole-Person Health Data to Predict Liver Transplant Survival

Studies in health technology and informatics, 2016, Vol.225, p.382

2016

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Characterizing Surgical Site Infection Signals in Clinical Notes

Studies in health technology and informatics, 2017, Vol.245, p.955

2017

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Causal Phenotyping for Susceptibility to Cardiotoxicity from Antineoplastic Breast Cancer Medications

AMIA ... Annual Symposium proceedings, 2017, Vol.2017, p.1655-1664

2017

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Causal structure discovery identifies risk factors and early brain markers related to evolution of white matter hyperintensities

NeuroImage clinical, 2022-01, Vol.35, p.103077-103077, Article 103077

2022

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Survival association rule mining towards type 2 diabetes risk assessment

AMIA ... Annual Symposium proceedings, 2013, Vol.2013, p.1293-1302

2013

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Multi-Task Learning to Identify Outcome-Specific Risk Factors that Distinguish Individual Micro and Macrovascular Complications of Type 2 Diabetes

AMIA Summits on Translational Science proceedings, 2018, Vol.2017, p.122-131

2018

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Divisive Hierarchical Clustering towards Identifying Clinically Significant Pre-Diabetes Subpopulations

AMIA ... Annual Symposium proceedings, 2014, Vol.2014, p.1815-1824

2014

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Extending Association Rule Summarization Techniques to Assess Risk of Diabetes Mellitus

IEEE transactions on knowledge and data engineering, 2015-01, Vol.27 (1), p.130-141

2015

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A novel method for handling Missing Not at Random Data in the electronic health records

2022 IEEE 10th International Conference on Healthcare Informatics (ICHI), 2022, p.21-26

2022

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IEEE_Xplore

Predictors of Liver Transplant Patient Survival: A Critical Review Using a Holistic Framework

Progress in transplantation (Aliso Viejo, Calif.), 2017-03, Vol.27 (1), p.98-106

2017

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A Likelihood-based Convolution Approach to Estimate Event Occurrences in Large Longitudinal Incomplete Clinical Data

2019 IEEE International Conference on Healthcare Informatics (ICHI), 2019, p.1-8

2019

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IEEE_Xplore

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A novel method for causal structure discovery from EHR data and its application to type-2 diabetes mellitus

Predicting diabetes clinical outcomes using longitudinal risk factor trajectories

Artificial Intelligence and Machine Learning in Health Care and Medical Sciences: Best Practices and Pitfalls

Robust Methods for Quantifying the Effect of a Continuous Exposure From Observational Data

Strategies for handling missing clinical data for automated surgical site infection detection from the electronic health record

Consensus modeling: Safer transfer learning for small health systems

Applying Machine Learning Across Sites: External Validation of a Surgical Site Infection Detection Algorithm

Towards more Accessible Precision Medicine: Building a more Transferable Machine Learning Model to Support Prognostic Decisions for Micro- and Macrovascular Complications of Type 2 Diabetes Mellitus

A Computational Method for Learning Disease Trajectories From Partially Observable EHR Data

The Value of Aggregated High-Resolution Intraoperative Data for Predicting Post-Surgical Infectious Complications at Two Independent Sites

Providers’ Response to Clinical Decision Support for QT Prolonging Drugs

Automated Detection of Postoperative Surgical Site Infections Using Supervised Methods with Electronic Health Record Data

Accelerating Chart Review Using Automated Methods on Electronic Health Record Data for Postoperative Complications

A Holistic Clustering Methodology for Liver Transplantation Survival

Clustering the Whole-Person Health Data to Predict Liver Transplant Survival

Characterizing Surgical Site Infection Signals in Clinical Notes

Causal Phenotyping for Susceptibility to Cardiotoxicity from Antineoplastic Breast Cancer Medications

Causal structure discovery identifies risk factors and early brain markers related to evolution of white matter hyperintensities

Survival association rule mining towards type 2 diabetes risk assessment

Multi-Task Learning to Identify Outcome-Specific Risk Factors that Distinguish Individual Micro and Macrovascular Complications of Type 2 Diabetes

Divisive Hierarchical Clustering towards Identifying Clinically Significant Pre-Diabetes Subpopulations

Extending Association Rule Summarization Techniques to Assess Risk of Diabetes Mellitus

A novel method for handling Missing Not at Random Data in the electronic health records

Predictors of Liver Transplant Patient Survival: A Critical Review Using a Holistic Framework

A Likelihood-based Convolution Approach to Estimate Event Occurrences in Large Longitudinal Incomplete Clinical Data

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