Latent COVID-19 Clusters in Patients with Chronic Respiratory Conditions. - Wanting Cui; Manuel R. Cabrera; Joseph Finkelstein (EFMI-STC, 2020)

Using Big Data Analytics to Identify Dentists with Frequent Future Malpractice Claims. - Wanting Cui; Joseph Finkelstein (MIE, 2020)

Comparative Analysis of Telemedicine Services Before and During Pandemic. - Wanting Cui; Joseph Finkelstein (AMIA, 2021)

Comparison of ACM and CLAMP for Entity Extraction in Clinical Notes. - Fatemeh Shah-Mohammadi; Wanting Cui; Joseph Finkelstein (EMBC, 2021)

Machine Learning Approaches for Early Prostate Cancer Prediction Based on Healthcare Utilization Patterns. - Joseph Finkelstein; Wanting Cui; Tiphaine C. Martin; Ramon Parsons (ICIMTH, 2021)

Use of Artificial Intelligence for Predicting COVID-19 Outcomes: A Scoping Review. - Jinyan Lyu; Wanting Cui; Joseph Finkelstein (ICIMTH, 2021)

Latent COVID-19 Clusters in Patients with Opioid Misuse. - Fatemeh Shah-Mohammadi; Wanting Cui; Keren Bachi; Yasmin Hurd; Joseph Finkelstein (ICIMTH, 2021)

Using EHR Data to Identify Social Determinants of Health Affecting Disparities in Cancer Survival. - Wanting Cui; Joseph Finkelstein (MedInfo, 2021)

Impact of COVID-19 Pandemic on Use of Telemedicine Services in an Academic Medical Center. - Wanting Cui; Joseph Finkelstein (MIE, 2021)

Entity Extraction for Clinical Notes, a Comparison Between MetaMap and Amazon Comprehend Medical. - Fatemeh Shah-Mohammadi; Wanting Cui; Joseph Finkelstein (MIE, 2021)

Using EHR to Assess Disparities in Lung Cancer Survival. - Wanting Cui; Joseph Finkelstein (AMIA, 2022)

Comparative Analysis of Patient Distress in Opioid Treatment Programs using Natural Language Processing. - Fatemeh Shah-Mohammadi; Wanting Cui; Keren Bachi; Yasmin Hurd; Joseph Finkelstein (BIOSIGNALS, 2022)

Using Natural Language Processing of Clinical Notes to Predict Outcomes of Opioid Treatment Program. - Fatemeh Shah-Mohammadi; Wanting Cui; Keren Bachi; Yasmin Hurd; Joseph Finkelstein (EMBC, 2022)

Using Machine Learning to Identify No-Show Telemedicine Encounters in a New York City Hospital. - Wanting Cui; Joseph Finkelstein (ICIMTH, 2022)

Assessing Disparities in COVID-19 Testing Using National COVID Cohort Collaborative. - Jinyan Lyu; Wanting Cui; Joseph Finkelstein (ICIMTH, 2022)

Identifying Determinants of Disparities in Lung Cancer Survival Rates from Electronic Health Record Data. - Wanting Cui; Joseph Finkelstein (MIE, 2022)

Using Big Data to Identify Impact of Asthma on Mortality in Patients with COVID-19. - Jinyan Lyu; Wanting Cui; Joseph Finkelstein (MIE, 2022)

Prostate Cancer Prediction Using Healthcare Utilization Patterns. - Wanting Cui; Joseph Finkelstein (BIBM, 2023)

Using Electronic Medical Records and Clinical Notes to Predict the Outcome of Opioid Treatment Program. - Wanting Cui; Fatemeh Shah-Mohammadi; Joseph Finkelstein (ICIMTH, 2023)

Exercise Exertion Levels Prediction Based on Real-Time Wearable Physiological Signal Monitoring. - Aref Smiley; Te-Yi Tsai; Elena Zakashansky; Aileen S. Gabriel; Taulant Xhakli; Wanting Cui; Xingyue Huo; Ihor Havrylchuk; Hu Cui; Joseph Finkelstein (ICIMTH, 2023)

Identifying Determinants of Survival Disparities in Multiple Myeloma Patients Using Electronic Health Record Data. - Wanting Cui; Joseph Finkelstein (MedInfo, 2023)

Machine Learning Approaches for Exercise Exertion Level Classification Using Data from Wearable Physiologic Monitors. - Aref Smiley; Te-Yi Tsai; Ihor Havrylchuk; Aileen S. Gabriel; Elena Zakashansky; Taulant Xhakli; Jinyan Lyu; Wanting Cui; Irena Parvanova; Joseph Finkelstein (MedInfo, 2023)

Automated Classification of Exercise Exertion Levels Based on Real-Time Wearable Physiological Signal Monitoring. - Aref Smiley; Ihor Havrylchuk; Te-Yi Tsai; Elena Zakashansky; Aileen S. Gabriel; Taulant Xhakli; Wanting Cui; Irena Parvanova; Hu Cui; Joseph Finkelstein (MIE, 2023)

Diagnostic Modeling to Identify Unrecognized Inpatient Hypercapnia Using Health Record Data. - Brian W. Locke; W. Wayne Richards; Jeanette P. Brown; Wanting Cui; Joseph Finkelstein; Krishna M. Sundar; Ramkiran Gouripeddi (AIME (1), 2024)

Reducing Diagnostic Uncertainty in Emergency Departments: The Role of Large Language Models in Age-Specific Diagnostics. - Wanting Cui; Kensaku Kawamoto; Keaton L. Morgan; Joseph Finkelstein (ICHI, 2024)