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S1395 Uncontrolled Diabetes and Hypertension Are Associated With the Risk of New-Onset Cirrhosis in Patients With Nonalcoholic Steatohepatitis

The American journal of gastroenterology, 2023-10, Vol.118 (10S), p.S1067-S1067

2023

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S1394 NASHDetection: A Natural Language Processing Method for Identifying Patients With Non-alcoholic Steatohepatitis Using Clinical Notes

The American journal of gastroenterology, 2023-10, Vol.118 (10S), p.S1067-S1067

2023

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A Machine Learning Approach to Real‐World Time to Treatment Discontinuation Prediction

Advanced intelligent systems, 2023-04, Vol.5 (4), p.n/a

2023

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Real-World Data Quality Framework for Oncology Time to Treatment Discontinuation Use Case: Implementation and Evaluation Study

JMIR medical informatics, 2024-03, Vol.12, p.e47744-e47744

2024

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Comparison of Machine Learning Algorithms for Predicting Hospital Readmissions and Worsening Heart Failure Events in Patients With Heart Failure With Reduced Ejection Fraction: Modeling Study

JMIR formative research, 2023-04, Vol.7, p.e41775-e41775

2023

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Evaluation of the informatician perspective: determining types of research papers preferred by clinicians

BMC medical informatics and decision making, 2017-07, Vol.17 (Suppl 2), p.74-74, Article 74

2017

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Generic medical concept embedding and time decay for diverse patient outcome prediction tasks

iScience, 2022-09, Vol.25 (9), p.104880-104880, Article 104880

2022

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Predicting Measles Outbreaks in the United States: Evaluation of Machine Learning Approaches

JMIR formative research, 2023-04, Vol.7, p.e42832-e42832

2023

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Improving preeclampsia risk prediction by modeling pregnancy trajectories from routinely collected electronic medical record data

NPJ digital medicine, 2022-06, Vol.5 (1), p.68-68, Article 68

2022

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Using Deep Learning to Identify High-Risk Patients with Heart Failure with Reduced Ejection Fraction

Journal of health economics and outcomes research (Online), 2021-01, Vol.8 (2), p.6-13

2021

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Abstract 12557: Vericiguat Use in a Real-World HFrEF Patient Population: Two Years Post-Launch

Circulation (New York, N.Y.), 2023-11, Vol.148 (Suppl_1)

2023

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WHO? CHARACTERIZING VERICIGUAT USE IN A REAL-WORLD HFREF PATIENT POPULATION

Journal of the American College of Cardiology, 2023-03, Vol.81 (8), p.290-290

2023

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Prediction of measles cases in US counties: A machine learning approach

Vaccine, 2024-12, Vol.42 (26), p.126289, Article 126289

2024

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Abstract 14596: Differences in Healthcare Resource Utilization Among Patients Receiving Comprehensive Guideline-Directed Medical Therapy by Prior History of Worsening Heart Failure Events

Circulation (New York, N.Y.), 2023-11, Vol.148 (Suppl_1)

2023

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Validation of a deep learning model for classification of pediatric pneumonia in Hong Kong

Vaccine, 2024-12, Vol.42 (26), p.126370, Article 126370

2024

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Identifying Serendipitous Drug Usages From Patient-Reported Medication Outcomes on Social Media

Ru, Boshu

2018

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Using Deep Learning to Identify High-Risk Patients with Heart Failure with Reduced Ejection Fraction

Journal of health economics and outcomes research (Online), 2021-07

2021

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1344. Predicting Measles Outbreaks in the United States: Application of Different Modeling Approaches

Open forum infectious diseases, 2021-12, Vol.8 (Supplement_1), p.S759-S759

2021

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A Content Analysis of Patient-Reported Medication Outcomes on Social Media

2015 IEEE International Conference on Data Mining Workshop (ICDMW), 2015, p.472-479

2015

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Integration of Accountable Care Organization and Additional Hospital Data into CMS Referral Analytics System

2017 IEEE International Conference on Healthcare Informatics (ICHI), 2017, p.357-361

2017

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LEVERAGING ARTIFICIAL INTELLIGENCE TO FACILITATE PATIENT SCREENING: REVEALING THE INFLUENTIAL CLINICAL FEATURES BEHIND MACHINE LEARNING MODELS FOR PH-COPD

Chest, 2024-10, Vol.166 (4), p.A5959-A5960

2024

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USING MACHINE LEARNING TO ESTIMATE THE PREVALENCE OF PULMONARY HYPERTENSION AMONG PATIENTS WITH CHRONIC OBSTRUCTIVE PULMONARY DISEASE

Chest, 2024-10, Vol.166 (4), p.A5952-A5953

2024

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Detecting Serendipitous Drug Usage in Social Media with Deep Neural Network Models

2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018, p.1083-1090

2018

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A Literature Review of Social Media-Based Data Mining for Health Outcomes Research

Social Web and Health Research, 2019, p.1-14

2019

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Dose Prediction for Prostate Radiation Treatment: Feasibility of a Distance-Based Deep Learning Model

2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019, p.2379-2386

2019

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S1395 Uncontrolled Diabetes and Hypertension Are Associated With the Risk of New-Onset Cirrhosis in Patients With Nonalcoholic Steatohepatitis

S1394 NASHDetection: A Natural Language Processing Method for Identifying Patients With Non-alcoholic Steatohepatitis Using Clinical Notes

A Machine Learning Approach to Real‐World Time to Treatment Discontinuation Prediction

Real-World Data Quality Framework for Oncology Time to Treatment Discontinuation Use Case: Implementation and Evaluation Study

Comparison of Machine Learning Algorithms for Predicting Hospital Readmissions and Worsening Heart Failure Events in Patients With Heart Failure With Reduced Ejection Fraction: Modeling Study

Evaluation of the informatician perspective: determining types of research papers preferred by clinicians

Generic medical concept embedding and time decay for diverse patient outcome prediction tasks

Predicting Measles Outbreaks in the United States: Evaluation of Machine Learning Approaches

Improving preeclampsia risk prediction by modeling pregnancy trajectories from routinely collected electronic medical record data

Using Deep Learning to Identify High-Risk Patients with Heart Failure with Reduced Ejection Fraction

Abstract 12557: Vericiguat Use in a Real-World HFrEF Patient Population: Two Years Post-Launch

WHO? CHARACTERIZING VERICIGUAT USE IN A REAL-WORLD HFREF PATIENT POPULATION

Prediction of measles cases in US counties: A machine learning approach

Abstract 14596: Differences in Healthcare Resource Utilization Among Patients Receiving Comprehensive Guideline-Directed Medical Therapy by Prior History of Worsening Heart Failure Events

Validation of a deep learning model for classification of pediatric pneumonia in Hong Kong

Identifying Serendipitous Drug Usages From Patient-Reported Medication Outcomes on Social Media

Using Deep Learning to Identify High-Risk Patients with Heart Failure with Reduced Ejection Fraction

1344. Predicting Measles Outbreaks in the United States: Application of Different Modeling Approaches

A Content Analysis of Patient-Reported Medication Outcomes on Social Media

Integration of Accountable Care Organization and Additional Hospital Data into CMS Referral Analytics System

LEVERAGING ARTIFICIAL INTELLIGENCE TO FACILITATE PATIENT SCREENING: REVEALING THE INFLUENTIAL CLINICAL FEATURES BEHIND MACHINE LEARNING MODELS FOR PH-COPD

USING MACHINE LEARNING TO ESTIMATE THE PREVALENCE OF PULMONARY HYPERTENSION AMONG PATIENTS WITH CHRONIC OBSTRUCTIVE PULMONARY DISEASE

Detecting Serendipitous Drug Usage in Social Media with Deep Neural Network Models

A Literature Review of Social Media-Based Data Mining for Health Outcomes Research

Dose Prediction for Prostate Radiation Treatment: Feasibility of a Distance-Based Deep Learning Model

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