Jake Luo

Associate Professor, Health Informatics & Administration
Affiliate Professor, Computer Science
Graduate Program Director, Health Care Informatics

Jake Luo’s research interest lies in data-driven predictive analysis using machine learning-based algorithms and technologies, such as data mining, natural language processing and knowledge representation and modelling. He is interested in investigating how these computing technologies can be used to improve health care by providing intelligent decision support for clinicians, medical researchers, patients, and policymakers.

Luo’s active research programs involve developing innovative heath data science technologies for knowledge discovery, adapting machine learning algorithms to enhance clinical data processing, implementing collaborative team science initiatives to improve health services and research, and creating intelligent clinical informatics tools to support evidence-based decision making.

Education

Postdoctoral Scientist Biomedical Informatics Columbia University New York
PhD Computer Science, Belfast, UK Queen’s University
MS Software Engineering, Xidian University China
BS Electronic Engineering, Xidian University China

Research Interests

Health Big Data and Predictive Analysis
Natural Language Processing
Health Informatics and Management
Text Mining and Information Extraction
Artificial Intelligence and machine learning

Selected Publications

Thompson-Harvey, Adam, Friedland, David R., Adams, Jazzmyne A., Tong, Ling, Osinski, Kristen, and Luo, Jake. “The Demographics of Menière's Disease: Selection Bias or Differential Susceptibility?.” Otology & Neurotology 44.2 (2023).
Alanazi, Eman M., Alanzi, Turki M., Wu, Min, and Luo, Jake. “Patients’ unmet information needs and gaps of obstetric ultrasound exam: A qualitative content analysis of social media platforms.” Informatics in Medicine Unlocked 80. (2022).
Tong, L., Luo, Jake, Adams, J., Osinski, K., Liu, X., and Friedland, D. “A Clustering-Aided Approach for Diagnosis Prediction: A Case Study of Elderly Fall.” 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC). (2022): 337-342.
Tong, Ling, George, Ben, Crotty, Bradley H., Somai, Melek, Taylor, Bradley W., Osinski, Kristen, and Luo, Jake. “Telemedicine and health disparities: Association between patient characteristics and telemedicine, in-person, telephone and message-based care during the COVID-19 pandemic.” IPEM-Translation 3-4. (2022): 100010.
Osafo, Neil K., Friedland, David R., Harris, Michael S., Adams, Jazzmyne, Davis, Chasity, Osinski, Kristen, Tong, Ling, and Luo, Jake. “Standardization of Outcome Measures for Intratympanic Steroid Treatment for Idiopathic Sudden Sensorineural Hearing Loss.” Otology & Neurotology 43.10 (2022): 1137-1143.
Alarifi, Mohammad, Jabour, Abdulrahman M., Wu, Min, Aldosary, Abdullah, Almanaa, Mansour, and Luo, Jake. “Proposed Questions to Assess the Extent of Knowledge in Understanding the Radiology Report Language.” International Journal of Environmental Research and Public Health 19.18 (2022): 11808.
Hernandez, Lyndon V., Ravi, Santha K., Guda, Nalini M., Gresenz, Ashley, and Luo, Jake. “MICRO-COST ESTIMATES OF PROCEDURES IN A COMMUNITY-BASED AMBULATORY ENDOSCOPY CENTER: WHEN DO WE SWITCH TO SINGLE-USE ENDOSCOPES?.” Gastrointestinal Endoscopy 95.6 (2022): AB133-AB134.
Harvey, Erin, Stark, Katarina, Friedland, David R., Adams, Jazzmyne A., Harris, Michael S., Tong, Ling, Osinksi, Kristen, and Luo, Jake. “Impact of Demographics and Clinical Features on Initial Treatment Pathway for Vestibular Schwannoma.” Otology & Neurotology. (2022): 10.1097/MAO.0000000000003652.
Patel, Mit A., Bock, Jonathan M., Blumin, Joel H., Friedland, David R., Adams, Jazzmyne A., Tong, Ling, Osinski, Kristen I., and Luo, Jake. “Demographic differences in the treatment of unilateral vocal fold paralysis.” Laryngoscope Investigative Otolaryngology 2022.1 (2022): 1-7.
Tong, Ling, Khani, Masoud, Lu, Qiang, Taylor, Bradley, Osinski, Kristen, and Luo, Jake. “Association between Body-Mass Index, Patient Characteristics, and Obesity-related Comorbidities among COVID-19 Patients: A Prospective Cohort Study.” Obesity Research & Clinical Practice. (2022).
Lu, Qiang, Xu, Congwen, Luo, Jake, and Wang, Zhiguang. “AB-GEP: Adversarial bandit gene expression programming for symbolic regression.” Swarm and Evolutionary Computation. (2022): 101197.
Poetker, David M., Friedland, David R., Adams, Jazzmyne A., Tong, Ling, Osinski, Kristen, and Luo, Jake. “Socioeconomic Determinants of Tertiary Rhinology Care Utilization.” OTO open 5.2 (2021): 2473974X211009830.

Honors & Awards

Outstanding Clinical Research Informatics Paper Award Nominated (2014) AMIA.
Outstanding Reviewer Award (2013) MedInfo 2013.
Top hottest 25 paper (2012) Journal of Biomedical Informatics.
Distinguished paper award (2011) AMIA CRI summit.

Professional Memberships

Member of the American Medical Informatics Association (AMIA), 2009-present
Member of Association for Advancement of Artificial Intelligence (AAAI), 2006-2010
Member of Institute of Electrical and Electronics Engineers (IEEE), 2008-2009

News

Courses Taught

Health Big Data Processing
Introduction to Health Care Informatics
Biomedical Informatics Seminar
Fundamental Programming
Advanced Programming