Postdoctoral Scientist Biomedical Informatics Columbia University New York
Ph D Computer Science Belfast, UK Queen's University
MS Software Engineering Xidian University China
BS Electronic Engineering Xidian University China
- Health Big Data and Predictive Analysis
- Natural Language Processing
- Health Informatics and Management
- Text Mining and Information Extraction
- Artificial Intelligence and machine learning
Interests & Expertise
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.
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
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.
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
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.
Alarifi, Mohammad, Patrick, Timothy B., Jabour, Abdulrahman, Wu, Min, and Luo, Jake. “Understanding patient needs and gaps in radiology reports through online discussion forum analysis.” Insights into imaging 12.1 (2021): 1-9.
Luo, Jake, Tong, Ling, Crotty, Bradley H., Somai, Melek, Taylor, Bradley, Osinski, Kristen, and George, Ben. “Telemedicine Adoption during the COVID-19 Pandemic: Gaps and Inequalities.” Applied Clinical Informatics 12.04 (2021): 836-844.
Kiplagat, Augustine B., Kako, Peninnah, Mkandawire-Valhmu, Lucy, Chelagat, Dinah, Gwon, Seok H., Luo, Jake, and Dixon, Morgan V. “The HIV transmission risk factors and opportunities for use of mHealth in HIV prevention among emerging adult population in the Sub-Saharan Africa context: a review of the literature.” International Journal of Health Promotion and Education
. (2021): 1-15.
Berg, Craig A., Carvan, Michael J., Hesselbach, Renee, Luo, Jake, Petering, David H., Pickart, Michael, Tomasiewicz, Henry, Weber, Daniel N., Shukla, Rekha, and Goldberg, Barbara. “Meeting the COVID Challenge to a Research-intensive Pre-college Science Education Program.” Journal of STEM Outreach 4.2 (2021): 1-11.
Alarifi, Mohammad, Patrick, Timothy B., Jabour, Abdulrahman, Wu, Min, and Luo, Jake. “Designing a Consumer-Friendly Radiology Report using a Patient-Centered Approach.” Journal of Digital Imaging. (2021): 1-12.
Anisuzzaman, DM, Barzekar, Hosein, Tong, Ling, Luo, Jake, and YU, ZEYUN. “A deep learning study on osteosarcoma detection from histological images.” Biomedical Signal Processing and Control 69. (2021): 102931.
Zolnoori, Maryam, Fung, Kin W., Patrick, Timothy B., Fontelo, Paul, Kharrazi, Hadi, Faiola, Anthony, Shirley Wu, Yi S., Eldredge, Christina E., Luo, Jake, Conway, Mike, Zhu, Jiaxi, Park, Soo K., Xu, Kelly, and Moayyed, Hamideh. “The PsyTAR dataset: From patients generated narratives to a corpus of adverse drug events and effectiveness of psychiatric medications.” Data in Brief
. (2019): 103838.
Benson, Lauren C., Cobb, Stephen C., Hyngstrom, Allison S., Keenan, Kevin G., Luo, Jake, and O’Connor, Kristian M. “A Principal Components Analysis Approach to Quantifying Foot Clearance and Foot Clearance Variability.” Journal of Applied Biomechanics
35.2 (2019): 116-122.
Barzekar, Hosein, Ebrahimzadeh, Farzad, Luo, Jake, Karami, Mahtab, Robati, Zahra, and Goodarzi, Parvin. “Adoption of Hospital Information System Among Nurses: a Technology Acceptance Model Approach.” Acta Informatica Medica
27.5 (2019): 305.
Zolnoori, M, Wah Fung, K, Patrick, T B., Fontelo, P, Kharrazi, H, Faiola, A, Shuan Shirley Wu, Y, Eldredge, C E., Luo, Jake, Conway, M, Zhu, J, Kyung Park, S, Xu, K, Moayyed, H, and Goudarzvand, S. “A Systematic Approach for Developing a Corpus of Patient Reported Adverse Drug Events: A Case Study for SSRI and SNRI Medications.” Journal of biomedical informatics
Benson, Lauren C., Cobb, Stephen C., Hyngstrom, Allison S., Keenan, Kevin G., Luo, Jake, and O'Connor, Kristian M. “Identifying trippers and non-trippers based on knee kinematics during obstacle-free walking.” Human Movement Science
62. (2018): 58-66.
Benson, Lauren, Cobb, Stephen, Hyngstrom, Allison, Keenan, Kevin, Luo, Jake, and O'Connor, Kristian. Using a Single Ankle-Worn Accelerometer to Predict Lower Extremity Joint Range of Motion.
Congress of the International Society of Biomechanics (ISB'2017), 2017.
Luo, Zhihui, Wu, Min, and Zhao, Yiqing. “Big Data Applications in Biomedical Informatics, (In Chinese).” Journal of Medical Informatics 36.5 (2015): 2-9.
Sahoo, S S., Tao, S, Parchman, A, Luo, Jake, Cui, L, Mergler, P, Lanese, R, Barnholtz-Sloan, J S., Meropol, N J., and Zhang, G Q. “Trial prospector: Matching patients with cancer research studies using an automated and scalable approach.” Journal of Cancer Informatics
13. (2014): 157-166.
Nambisan, Priya, Luo, Jake, and Kapoor, A. Social Media and Big Data: Can tweet moods predict illness and hospital visits in a region?. APHA conference 141st Annual Meeting, New Orleans, LA., 2014.
Cui, L, Xu, R, Luo, Jake, Wentz, S, Scarberry, K, and Zhang, G Q. “Multi-topic assignment for exploratory navigation of consumer health information in NetWellness using formal concept analysis.” MC Journal of Medical Informatics and Decision Making
14.1 (2014): 63-79.
Weng, C, Wu, X, Luo, Jake, Boland, M R., Theodoratos, D, and Johnson, S B. “EliXR: An approach to eligibility criteria extraction and representation.” Journal of the American Medical Informatics Association (JAMIA)
Suppl 1:i116-24. (2011).
Graham, C, Bell, D, and Luo, Jake. “Multi-agent reinforcement learning – An exploration using q-learning.” Research and Development in Intelligent Systems XXVI
. Ed. Bramer, M, Ellis, R, and Petridis, M. (2009): 293-298.
Luo, Jake, Bell, D, and McCollum, B. Discover relevant environment feature using concurrent reinforcement learning. 3. 23rd AAAI conference on Artificial intelligence, 2008: 1816-1819.
Wu, Q, Xi, H, Bell, D, Qi, G, and Luo, Jake. Incremental Knowledge Base for Uncertain Reasoning.
Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008: 187-192.
Wu, Q, Bell, D, Huang, X, Khokhar, R H., Qi, G, and Luo, Jake. Autonomous robot control using evidential reasoning.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2007: 550-554.
Luo, Jake, Bell, D, and Wu, Q. Reinforcement learning sub-goal discovery using states visited statistic method. The 17th Irish conference on Artificial Intelligence and Cognitive Science (AICS), 2006: 113-120.
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.
- 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
- Health Big Data Processing
- Introduction to Health Care Informatics
- Biomedical Informatics Seminar
- Fundamental Programming
- Advanced Programming
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