Portrait of Jake Luo

Jake Luo, PhD

  • Associate Professor, Health Care Informatics Graduate Program Director


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

Speaker Topics

  • 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.

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.
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.
Chesley, Noelle A., Meier, Helen, Luo, Jake, Apchemengich, Immaculate, and Davies, W. Hobart. “Social factors shaing the adoption of lead-filering point-of-use systems: an observational study of an MTurk sample.” Journal of Water and Health. (2020).
Lu, Qiang, Zhou, Shuo, Tao, Fan, Luo, Jake, and Wang, Zhiguang. “Enhancing Gene Expression Programming based on Space Partition and Jump for Symbolic Regression.” Information Sciences 547. (2020): 553-567.
Alarifi, Mohammad, Patrick, Timothy, Jabour, Abudulrahman, Wu, Min, and Luo, Jake. “Full Radiology Report through Patient Web Portal: A Literature Review.” International Journal of Environmental Research and Public Health. (2020).
Wu, Min, and Luo, Jake. “Wearable Technology Applications in Healthcare: A Literature Review.” Online Journal of Nursing Informatics 23.3 (2019).
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.
Tong, Ling, Cisler, Ron A., Michael C., and Luo, Jake. “Machine learning-based modeling of big clinical data for adverse outcome prediction: A case study of death events.” Proceedings of IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC). (2019): 269-274.
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. (2019).
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.
Zhao, Yiqing, Fesharaki, Nooshin J., Liu, Hongfang, and Luo, Jake. “Using data-driven sublanguage pattern mining to induce knowledge models: application in medical image reports knowledge representation.” BMC Medical Informatics and Decision Making 18.1 (2018).
Tang, Tingling, Zhao, Shengyong, and Luo, Jake. “A new support vector selection strategy and a local-global regularization method for improving online SVM learning.” Electronics Letters 53.12 (2018): 735-736.
Luo, Jake, Erbe, Christy, and Friedland, David R. “Unique Clinical Language Patterns Among Expert Vestibular Providers Can Predict Vestibular Diagnoses.” Otology & Neurotology 39.9 (2018): 1163-1171.
Zhao, Yiqing, Fesharaki, Nooshin J., Li, Xiaohui, Patrick, Timothy B., and Luo, Jake. “Semantic-Enhanced Query Expansion System for Retrieving Medical Image Notes.” Journal of Medical Systems 42.6 (2018): 105.
Tang, Tinglong, Chen, Shengyong, Zhao, Meng, Huang, Wei, and Luo, Jake. “Very large-scale data classification based on K-means clustering and multi-kernel SVM.” Soft Computing Journal. (2018): 1-9.
Luo, Jake, Chen, Weiheng, Wu, Min, and Weng, Chunhua. “Systematic data ingratiation of clinical trial recruitment locations for geographic-based query and visualization.” International Journal of Medical Informatics 108. (2017): 85-91.
Luo, Jake, Wu, Min, and Chen, Weiheng. “Geographical Distribution and Trends of Clinical Trial Recruitment Sites in Developing and Developed Countries.” Journal of Health Informatics in Developing Countries 11.1 (2017): 18.
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, Jake, Wu, Min, Gopukumar, Deepika, and Zhao, Yiqing. “Big Data Application in Biomedical Research and Health Care: A Literature Review.” Biomedical Informatics Insights 8. (2016): BII.S31559.
Luo, Jake, Eldredge, Christina, Cho, Chris, and Cisler, Ron A. “Population Analysis of Adverse Events in Different Age Groups Using Big Clinical Trials Data.” JMIR Medical Informatics 4.4 (2016): e30.
Luo, Zhihui, Wu, Min, and Zhao, Yiqing. “Big Data Applications in Biomedical Informatics, (In Chinese).” Journal of Medical Informatics 36.5 (2015): 2-9.
Luo, Jake, Zhang, G Q., Wentz, S, Cui, L, and Xu, R. “SimQ: Real-time retrieval of similar consumer health questions.” Journal of Medical Internet Research 17.2 (2015): e43.
Luo, Jake, Pelfrey, C, and Zhang, G Q. “Visualizing and evaluating the growth of multi-institutional collaboration based on research network analysis.” [Outstanding CRI Paper Award Nominated 2014]. Summit on Clinical Research Informatics, (2014): 67-91.
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.
Luo, Jake, Carolyn, Apperson-Hansen, Pelfrey, Clara, and Zhang, Guo-qiang. “RMS: A platform for managing multi-disciplinary and multi-institutional research project collaboration.” BMC Journal of Medical Informatics and Decision Making 14.106 (2014).
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.
Luo, Jake, Miotto, R, and Weng, C. “A human-computer collaborative approach to identifying common data elements in clinical trial eligibility criteria.” Journal of Biomedical Informatics 46.1 (2013): 33-39.
Wu, Min, Luo, Jake, and Weng, C. “Discussion and research on personalized medicine.” Journal of Medical Informatics 34.20 (2013): 2-7.
Luo, Jake, Zhang, G Q., and Rong, X. Mining Patterns of Adverse Events Using Aggregated Clinical Trial Results. 2013. AMIA Joint Submits to Translational Science, 2013: 112-116.
Miao, X F., Luo, Jake, and Hong, L. “Routing protocol simulation research based on SUMO.” Network and Communications 37.01 (2011): 106-109.
Luo, Jake, Johnson, S B., Lai, A M., and Weng, C. “Extracting temporal constraints from clinical research eligibility criteria using conditional random fields.” American Medical Informatics Association Annual Symposium (AMIA) 2011. (2011): 843-852.
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).
Luo, Jake, Yetisgen-Yildiz, M, and Weng, C. “Dynamic categorization of clinical research eligibility criteria by hierarchical clustering.” Journal of Biomedical Informatics (JBI) 44.6 (2011): 927-935.
Luo, Jake, Duffy, R, Johnson, S, and Weng, C. Corpus-based approach to creating a semantic lexicon for clinical research eligibility criteria from UMLS. AMIA Summit on Clinical Research Informatics (AMIA CRI), 2010: 26-31.
Luo, Jake, Johnson, S B., and Weng, C. “Semi-automatic induction of semantic classes from free-text clinical research eligibility criteria using UMLS and hierarchical clustering.” American Medical Informatics Association Annual Symposium (AMIA). (2010): 487-491.
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.
Luo, Jake, Bell, D, McCollum, D, and Wu, Q. Learning to select relevant perspective in a dynamic environment. 1.8 IEEE World Congress on Computational Intelligence, 2008: 666-673.
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 McCollum, B. “Skill combination for reinforcement learning.” Intelligent Data Engineering and Automated Learning. (2007): 87-96.
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.

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

Courses Taught

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

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