Wanting Cui

According to our database, Wanting Cui authored at least 23 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Machine Learning Approaches for Exercise Exertion Level Classification Using Data from Wearable Physiologic Monitors.

Aref Smiley, Te-Yi Tsai, Ihor Havrylchuk, Aileen Gabriel, Elena Zakashansky, Taulant Xhakli, Jinyan Lyu, Wanting Cui, Irena Parvanova, Joseph Finkelstein

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Identifying Determinants of Survival Disparities in Multiple Myeloma Patients Using Electronic Health Record Data.

Wanting Cui, Joseph Finkelstein

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Exercise Exertion Levels Prediction Based on Real-Time Wearable Physiological Signal Monitoring.

Aref Smiley, Te-Yi Tsai, Elena Zakashansky, Aileen Gabriel, Taulant Xhakli, Wanting Cui, Xingyue Huo, Ihor Havrylchuk, Hu Cui, Joseph Finkelstein

Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

Using Electronic Medical Records and Clinical Notes to Predict the Outcome of Opioid Treatment Program.

Wanting Cui, Fatemeh Shah-Mohammadi, Joseph Finkelstein

Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

Prostate Cancer Prediction Using Healthcare Utilization Patterns.

Wanting Cui, Joseph Finkelstein

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Using Big Data to Identify Impact of Asthma on Mortality in Patients with COVID-19.

Jinyan Lyu, Wanting Cui, Joseph Finkelstein

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Identifying Determinants of Disparities in Lung Cancer Survival Rates from Electronic Health Record Data.

Wanting Cui, Joseph Finkelstein

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Assessing Disparities in COVID-19 Testing Using National COVID Cohort Collaborative.

Jinyan Lyu, Wanting Cui, Joseph Finkelstein

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

Using Machine Learning to Identify No-Show Telemedicine Encounters in a New York City Hospital.

Wanting Cui, Joseph Finkelstein

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

Using EHR to Assess Disparities in Lung Cancer Survival.

Wanting Cui, Joseph Finkelstein

Proceedings of the AMIA 2022, 2022

2021

Entity Extraction for Clinical Notes, a Comparison Between MetaMap and Amazon Comprehend Medical.

Fatemeh Shah-Mohammadi, Wanting Cui, Joseph Finkelstein

Proceedings of the Public Health and Informatics, 2021

Impact of COVID-19 Pandemic on Use of Telemedicine Services in an Academic Medical Center.

Wanting Cui, Joseph Finkelstein

Proceedings of the Public Health and Informatics, 2021

Using EHR Data to Identify Social Determinants of Health Affecting Disparities in Cancer Survival.

Wanting Cui, Joseph Finkelstein

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Latent COVID-19 Clusters in Patients with Opioid Misuse.

Fatemeh Shah-Mohammadi, Wanting Cui, Keren Bachi, Yasmin Hurd, Joseph Finkelstein

Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021

Use of Artificial Intelligence for Predicting COVID-19 Outcomes: A Scoping Review.

Jinyan Lyu, Wanting Cui, Joseph Finkelstein

Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021

Machine Learning Approaches for Early Prostate Cancer Prediction Based on Healthcare Utilization Patterns.

Joseph Finkelstein, Wanting Cui, Tiphaine C. Martin, Ramon Parsons

Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021

Comparison of ACM and CLAMP for Entity Extraction in Clinical Notes.

Fatemeh Shah-Mohammadi, Wanting Cui, Joseph Finkelstein

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Comparative Analysis of Telemedicine Services Before and During Pandemic.

Wanting Cui, Joseph Finkelstein

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Using Big Data Analytics to Identify Dentists with Frequent Future Malpractice Claims.

Wanting Cui, Joseph Finkelstein

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

Latent COVID-19 Clusters in Patients with Chronic Respiratory Conditions.

Wanting Cui, Manuel R. Cabrera, Joseph Finkelstein

Proceedings of the Integrated Citizen Centered Digital Health and Social Care - Citizens as Data Producers and Service co-Creators, 2020