Publications

DIH

Journal Publications

Z. Shakeri Hossein Abad, G. P. Butler, W. Thompson, and J. Lee. Physical activity, sedentary behaviour, and sleep on Twitter: a multicountry and fully labelled dataset for public health surveillance research. JMIR Public Health and Surveillance, in press.

Z. Shakeri Hossein Abad, G. P. Butler, W. Thompson, and J. Lee. Crowdsourcing for machine learning in public health surveillance: lessons learned from Amazon Mechanical Turk. Journal of Medical Internet Research, 24(1):e28749, January 2022.

B. Kim, P. Ghasemi, P. Stolee, and J. Lee. Clinicians and older adults’ perceptions of the utility ofpatient generated health data in caring for older adults: an exploratory mixed-methods study. JMIR Aging, 4(4):e29788, November 2021.

S. Aponte-Hao, S. T. Wong, M. Thandi, P. Ronksley, K. McBrien, J. Lee, M. Grandy, D. Mangin, A.Katz, A. Singer, D. Manca, and T. Williamson. Machine learning for identification of frailty in Canadian primary care practices. International Journal of Population Data Science, 6(1):11, September 2021.

G. Geri, L. Ferrer, N. Tran, L. A. Celi, M. Jamme, J. Lee, and A. Vieillard-Baron. Cardio-pulmonary-renal interactions in ICU patients. Role of mechanical ventilation, venous congestion and perfusion deficiton worsening of renal function: insights from the MIMIC-III database. Journal of Critical Care, 64:100-107, August 2021.

S. Lee, B. Li, E. A. Martin, A. D'Souza, J. Jiang, C. Doktorchik, D. A. Southern, J. Lee, N. Wiebe, H. Quan, and C. Eastwood.  CREATE: a new data resource to support cardiac precision health. CJC Open, 3(5):639-645, May 2021.

D. Labib, S. Dykstra, Z. Slavikova, Y. Mikami, K. Yee, J. Flewitt, M. Seib, S. Rivest, R. Sandonato, A. Satriano, B. Heydari, A. Howarth, C. Lydell, P. D. Faris, E. Pituskin, W. Y. Cheung, J. Lee, and J. White. The effect of active cancer on the cardiac phenotype: a cardiac magnetic resonance imaging‐based study of myocardial tissue health and deformation in patients with chemotherapy‐naïve cancer. Journal of the American Heart Association, 10(9):e019811, April 2021.

Z. Shakeri Hossein Abad, D. M. Maslove, and J. Lee. Predicting discharge destination of critically ill patients using machine learning. IEEE Journal of Biomedical and Health Informatics, 25(3):827-837, March 2021.

Z. Shakeri Hossein Abad, A. Kline, M. Sultana, M. Noaeen, E. Nurmambetova, F. Lucini, M. Al-Jefri, and J. Lee. Digital public health surveillance: a systematic scoping review. npj Digit Medicine, 4(1):41, March 2021.

F. Lucini, K. D. Krewulak, K. M. Fiest, S. M. Bagshaw, D. J. Zuege, J. Lee, and H. T. Stelfox. Natural language processing to measure the frequency and mode of communication between healthcare professionals and family members of critically ill patients. Journal of the American Medical Informatics Association, 28(3):541-548, March 2021.

A. Sharafoddini, J. A. Dubin, and J. Lee. Identifying subpopulations of septic patients: a temporal data-driven approach. Computers in Biology and Medicine. 130:104182, March 2021.

B. Kim, M. Hunt, J. Muscedere, D. M. Maslove, and J. Lee. Using consumer-grade physical activity trackers to measure frailty transitions in older critical care survivors: exploratory observational study. JMIR Aging, 4(1):e19859, February 2021.

S. Lee, C. Doktorchik, E. A. Martin, A. D'Souza, C. Eastwood, A. Shaheen, C. Naugler, J. Lee, and H. Quan. Electronic medical record–based case phenotyping for the Charlson conditions: scoping review. JMIR Medical Informatics, 9(2):e23934, February 2021.

A. Kline, T. Kline, and J. Lee. Item response theory as a feature selection and interpretation tool in the context of machine learning. Medical & Biological Engineering & Computing59:471-482, February 2021.

M. Al-Jefri, R. Evans, J. Lee, and P. Ghezzi. Automatic identification of information quality metrics in health news stories. Frontiers in Public Health, 8:953, December 2020.

A. Kline, T. Kline, Z. Shakeri Hossein Abad, and J. Lee. Using item response theory for explainable machine learning in predicting mortality in the intensive care unit: case-based approach. Journal of Medical Internet Research, 22(9):e20268, September 2020.

M. Sultana, M. Al-Jefri, and J. Lee. Using machine learning and smartphone and smartwatch data to detect emotional states and transitions: an exploratory study. JMIR mHealth and uHealth, 8(9):e17818, September 2020.

B. Kim, S. McKay, and J. Lee. Consumer-grade wearable device for predicting frailty in Canadian home care service clients: prospective observational proof-of-concept study. Journal of Medical Internet Research, 22(9):e19732, September 2020.

J. Lee. Is artificial intelligence better than human clinicians in predicting patient outcomes? Journal of Medical Internet Research, 22(8):e19918, August 2020.

D. L. Olstad and J. Lee. Leveraging artificial intelligence to monitor unhealthy food and brand marketing to children on digital media. The Lancet Child & Adolescent Health, 4(6):418-420, June 2020.

J. Danziger, J. Lee, R. G. Mark, L. A. Celi, and K. J. Mukamal.  Do hyponatremia or its underlying mechanisms associate with mortality risk in observational data? Critical Care Explorations, 2(1):e0074, January 2020.

Y. Yang, J. P. Hirdes, J. A. Dubin, and J. Lee. Fall risk classification in community-dwelling older adults using a smart wrist-worn device and the resident assessment instrument-home care: prospective observational study. JMIR Aging, 2(1):e12153, June 2019.

S. T. Leatherdale and J. Lee. Artificial intelligence (AI) and cancer prevention: the potential application of AI in cancer control programming needs to be explored in population laboratories such as COMPASS. Cancer Causes & Control, 1-5, May 2019. 

L. Fuchs, M. Feng, V. Novack, J. Lee, J. Taylor, D. Scott, M. Howell, L. Celi, and D. Talmor.  The effect of ARDS on survival:  do patients die from ARDS or with ARDS? Journal of Intensive Care Medicine, 34(5):374-382, May 2019.

A. Sharafoddini, J. A. Dubin, D. M. Maslove, and J. Lee. A new insight into missing data in intensive care unit patient profiles: observational study, JMIR Medical Informatics, 7(1):e11605, January 2019.

I. E. R. Waudby-Smith, N. Tran, J. A. Dubin, and J. Lee. Sentiment in nursing notes as an indicator of out-of-hospital mortality in intensive care patients. PLoS One, 13(6):e0198687, June 2018. 

B. Y. Kim, A. Sharafoddini, N. Tran, E. Y. Wen, and J. Lee. Consumer mobile apps for potential drug-drug interaction check: systematic review and content analysis using the mobile app rating scale (MARS). JMIR mHealth and uHealth, 6(3):e74, March 2018.

D. Trtovac and J. Lee. The use of technology in identifying hospital malnutrition: a scoping review. JMIR Medical Informatics, 6(1):e4, January 2018.

A. Puri, B. Kim, O. Nguyen, P. Stolee, J. Tung, and J. Lee. User acceptance of wrist-worn activity trackers among community-dwelling older adults: mixed method study. JMIR mHealth and uHealth, 5(11):e173, November 2017.

A. Staszewska, P. Zaki, and J. Lee. Computerized decision aids for shared decision making in serious illness: systematic review. JMIR Medical Informatics, 5(4):e36, October 2017.

A. Bhattarai, A. Zarrin, and J. Lee. Applications of information and communications technologies to public health: a scoping review using the MeSH term “public health informatics". Online Journal of Public Health Informatics, 9(2):e192, September 2017.

N. N. Tran and J. Lee. Online reviews as health data: examining the association between availability of health care services and patient star ratings exemplified by the Yelp academic dataset. JMIR Public Health and Surveillance, 3(3):e43, July 2017.

B. Kim and J. Lee. Smart devices for older adults managing chronic disease: A scoping review. JMIR mHealth and uHealth, 5(5):e69, May 2017.

A. Sharafoddini, J. A. Dubin, and J. Lee. Patient similarity in prediction models based on health data: a scoping review. JMIR Medical Informatics, 5(1):e7, March 2017.

J. Lee. Patient-specific predictive modeling using random forests: an observational study for the critically ill. JMIR Medical Informatics, 5(1):e3, January 2017.

J. Lee and D. M. Maslove. Customization of a severity of illness score using local electronic medical record data. Journal of Intensive Care Medicine, 32(1):38-47, January 2017.

D. M. Maslove, J. A. Dubin, A. Shrivats, and J. Lee. Errors, omissions, and outliers in hourly vital signs measurements in intensive care. Critical Care Medicine, 44(11):e1021-e1030, November 2016.

R. Ling and J. Lee. Disease monitoring and health campaign evaluation using Google search activities for HIV and AIDS, stroke, colorectal cancer, and marijuana use in Canada: a retrospective observational study. JMIR Public Health and Surveillance, 2(2):e156, October 2016.

J. Lee, E. Ribey, and J. R. Wallace. A web-based data visualization tool for the MIMIC-II database. BMC Medical Informatics and Decision Making, 16:15, February 2016.

M. G. Shrime, B. S. Ferket, D. J. Scott, J. Lee, D. Bradford, T. Pollard, Y. M. Arabi, H. M. Al-Dorzi, R. M. Baron, M. G. Myriam Hunink, L. A. Celi, and P. S. Lai. How long is long enough? Time-limited trials for critically-ill patients with cancer. JAMA Oncology, 2(1):76-83, January 2016.

J. Lee and D. M. Maslove. Using information theory to identify redundancy in common laboratory tests. BMC Medical Informatics and Decision Making, 15:59, July 2015.

J. Lee, D. M. Maslove, and J. A. Dubin. Personalized mortality prediction driven by electronic medical data and a patient similarity metric. PLoS One, 10(5):e0127428, May 2015.

S. Nemati, B. A. Edwards, J. Lee, B. Pittman-Polletta, J. P. Butler, and A. Malhotra. Respiration and heart rate complexity: effects of age and gender assessed by band-limited transfer entropy. Respiratory Physiology & Neurobiology, 189(1):27-33, October 2013.

T. Mandelbaum, J. Lee, D. J. Scott, R. G. Mark, A. Malhotra, M. D. Howell, and D. Talmor. Empirical relationships among oliguria, creatinine, mortality, and renal replacement therapy in the critically ill. Intensive Care Medicine, 39(3):414-419, March 2013.

D. J. Scott, J. Lee, I. Silva, S. Park, G. B. Moody, L. A. Celi, and R. G. Mark. Accessing the public MIMIC-II intensive care relational database for clinical research. BMC Medical Informatics and Decision Making, 13:9, January 2013.

L. A. Celi, S. Galvin, G. Davidzon, J. Lee, D. Scott, and R. Mark. A database-driven decision support system: customized mortality prediction. Journal of Personalized Medicine, 2(4):138-148, September 2012.

I. Silva, J. Lee, and R. G. Mark. Signal quality estimation with multichannel adaptive filtering in intensive care settings. IEEE Transactions on Biomedical Engineering, 59(9):2476-2485, September 2012.

J. Lee, R. Kothari, J. A. Ladapo, D. J. Scott, and L. A. Celi. Interrogating a clinical database to study treatment of hypotension in the critically ill. BMJ Open, 2(3):e000916, June 2012.

S. Hunziker, L. Celi, J. Lee, and M. D. Howell. Red cell distribution width improves the SAPS score for risk prediction in unselected critically ill patients. Critical Care, 16(3):R89, May 2012.

J. Lee, S. Nemati, I. Silva, B. A. Edwards, J. P. Butler, and A. Malhotra. Transfer entropy estimation and directional coupling change detection in biomedical time series. BioMedical Engineering OnLine, 11:19, April 2012.

J. Lee and R. G. Mark. An investigation of patterns in hemodynamic data indicative of impending hypotension in intensive care. BioMedical Engineering OnLine, 9:62, October 2010.


Conference Proceedings

Z. Shakeri Hossein Abad and J. Lee. Detecting uncertainty of mortality prediction using confident learning. The 2021 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1719-1722, 2021.

M. Al-Jefri, J. Lee, and M. James. Predicting acute kidney injury after surgery. The 2020 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 5606-5609, 2020.

A. Kline, T. Kline, Z. Shakeri Hossein Abad, and J. Lee. Novel feature selection for artificial intelligence using item response theory for mortality prediction. The 2020 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 5729-5732, 2020.

F. Lucini, K. Fiest, H. T. Stelfox, and J. Lee. Delirium prediction in the intensive care unit: a temporal approach. The 2020 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 5527-5530, 2020.

Z. Shakeri Hossein Abad, A. Kline, and J. Lee. Evaluation of machine learning-based patient outcome prediction using patient-specific difficulty and discrimination indices. The 2020 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 5446-5449, 2020.

A. K. Cornhill, S. Dykstra, Y. Mikami, J. Flewitt, M. Seib, K. Yee, P. D. Faris, C. Lydell, A. Howarth, B. Heydari, J. Lee, and J. White. Multivariable risk score based prediction of heart failure admission or death in patients with ischemic cardiomyopathy using CMR-based markers. The 23rd Annual Society for Cardiovascular Magnetic Resonance Scientific Sessions, 121-123, 2020.

A. K. Cornhill, S. Dykstra, Y. Mikami, J. Flewitt, M. Seib, K. Yee, P. D. Faris, C. Lydell, A. Howarth, B. Heydari, J. Lee, and J. White. Prediction of heart failure admission or death using a novel CMR-based risk score in patients with dilated cardiomyopathy. The 23rd Annual Society for Cardiovascular Magnetic Resonance Scientific Sessions, 269-271, 2020.

D. Labib, S. Dykstra, Z. Slavikova, Y. Mikami, K. Yee, J. Flewitt, M. Seib, S. Rivest, R. Sandonato, A. Satriano, B. Heydari, A. Howarth, C. Lydell, P. D. Faris, E. Pituskin, W. Y. Cheung, J. Lee, and J. White. Chamber volumes, mass and ejection fraction in cancer patients immediately prior to chemotherapy administration: is baseline really normal in this referral population? The 23rd Annual Society for Cardiovascular Magnetic Resonance Scientific Sessions, 858-860, 2020.

D. Labib, S. Dykstra, Z. Slavikova, Y. Mikami, K. Yee, J. Flewitt, M. Seib, S. Rivest, R. Sandonato, A. Satriano, B. Heydari, A. Howarth, C. Lydell, P. D. Faris, E. Pituskin, W. Y. Cheung, J. Lee, and J. White. Influence of modality-based threshold criteria on the diagnosis of cancer therapeutics-related cardiac dysfunction (CTRCD): what is the correct threshold for CMR? The 23rd Annual Society for Cardiovascular Magnetic Resonance Scientific Sessions, 1486-1488, 2020.

A. K. Cornhill, S. Dykstra, Y. Mikami, J. Flewitt, M. Seib, P. Faris, M. James, C. Lydell, A. Howarth, B. Heydari, N. Fine, D. V. Exner, J.  Lee, and J. White. Cardiovascular magnetic resonance imaging-based multivariable risk score for the prediction of heart failure admission or death. Circulation, 140(Suppl1):A15023, 2019.

A. Sharafoddini, J. A. Dubin, and J. Lee. Finding similar patient subpopulations in the ICU using laboratory test ordering patterns. The 2018 7th International Conference on Bioinformatics and Biomedical Science (ICBBS), 72-77, 2018.

M. A. H. Zahid and J. Lee. Mortality prediction with self-normalizing neural networks in intensive care unit patients. The 2018 IEEE-EMBS International Conference on Biomedical and Health Informatics, 226-229, 2018.

N. Tran and J. Lee. Using multiple sentiment dimensions of nursing notes to predict mortality in the intensive care unit. The 2018 IEEE-EMBS International Conference on Biomedical and Health Informatics, 283-286, 2018.

J. Lee. Personalized mortality prediction for the critically ill using a patient similarity metric and bagging. The 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 332-335, 2016.

Z. Zhang, J. Lee, D. J. Scott, L. Lehman, and R. G. Mark. A research infrastructure for real-time evaluation of predictive algorithms for intensive care units. The 2013 ICME International Conference on Complex Medical Engineering, 109-114, 2013.

L. Lehman, M. Saeed, W. Long, J. Lee, and R. Mark. Risk stratification of ICU patients using topic models inferred from unstructured progress notes. The 2012 American Medical Informatics Association Annual Symposium, 505-511, 2012.

J. Lee, D. J. Scott, M. Villarroel, G. D. Clifford, M. Saeed, and R. G. Mark. Open-access MIMIC-II database for intensive care research. The 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 8315-8318, 2011.

I. Silva, J. Lee, and R. Mark. Photoplethysmograph quality estimation through multichannel filtering. The 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 4361-4364, 2011.

J. Lee and R. G. Mark. A hypotensive episode predictor for intensive care based on heart rate and blood pressure time series. Computing in Cardiology, 37:81-84, 2010.


Book Chapters

J. Lee, J. A. Dubin, and D. M. Maslove. Mortality prediction in the ICU. Secondary Analysis of Electronic Health Records, MIT Critical Data (editor), Chapter 21, pp. 315-324. Springer Open. ISBN 978-3-319-43742-2. September 2016.

M. Nikjoo, A. Kushki, J. Lee, C. Steele, and T. Chau. Reputation-based neural network combinations. Artificial Neural Networks - Methodological Advances and Biomedical Applications, K. Suzuki (editor), Chapter 8, pp. 151-170. InTech Publishing. ISBN 978-953-307-243-2. April 2011.


Other Publications

Data for Healthy Aging (D4HA) Working Group. Mobile technology and data-informed approaches for healthy aging and aging-in-place, [Position Paper], October 2020.

The Royal College of Physicians and Surgeons of Canada Council Task Force on Artificial Intelligence and Emerging Digital Technologies.  Task force report on artificial intelligence and emerging digital technologies, [Report], April 2020.

R. Rebutoc and J. Lee. Innovative technologies for pan-Canadian surveillance of climate change, [Report], 2019.

Y. Xu, J. Lee, and  J. A. Dubin. Similarity-based random survival forest, arXiv preprint arXiv:1903.01029, March 2019. 

B. Kim and J. Lee. Mobile & sensor technology, big data and artificial intelligence for healthy aging, [White Paper], 2019.