• Publications

  • Journal Papers (36)

    1. Mengling Feng (co-senior author)et al. "The impact of high frequency oscillatory ventilation on mortality in paediatric acute respiratory distress syndrome." Critical Care 24.1 (2020): 31.
    2. Mengling Feng, et al. "Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms." JAMA Network Open 3.3 (2020): e200265-e200265.
    3. Ng, Sheryl Hui Xian, et al. "Characterising and predicting persistent high-cost utilisers in healthcare: a retrospective cohort study in Singapore." BMJ open 10.1 (2020).
    4. Willem van den Boom, Michael Hoy, Jagadish Sankaran, Mengru Liu, Haroun Chahed, Mengling Feng, “The Search for Optimal Oxygen Saturation Targets in Critically Ill Patients: Observational Data From Large ICU Databases”, CHEST (IF 9.66), 2019.
    5. Colin T Phillips, Junmei Wang, Leo Anthony Celi, Zhengbo Zhang, Mengling Feng; “Association of hypokalemia with an increased risk for medically treated arrhythmias”, PLOS One (IF 2.8),14(6), 2019
    6. Mengling Feng, Lior Fuchs, Victor Novack, Joon Lee, Jonathan Taylor, Daniel Scott, Michael Howell, Leo Celi, Daniel Talmor, “The effect of ARDS on survival: do patients die from ARDS or with ARDS?”, Journal of Intensive Care Medicine (IF 3.3), 34(5)2019
    7. Herng Ngee Ng Raphael, Ju-Ming Wong Judith, Chong Shu-Ling, Tsee Foong Loh, Yee Hui Mok, Mohamed Shirhan Bin Mohamed Atan, Eugene Montanez, Mengling Feng “VITAL SIGNS IN PREDICTING EXTUBATION FAILURE IN CHILDREN: A SINGLE-CENTER STUDY”, Critical Care Medicine (IF 7.4), 47, 2019
    8. Mengling Feng et al, Assessment of Intensive Care Unit Laboratory Values That Differ From Reference Ranges and Association with Patient Mortality and Length of Stay, JAMA, In press.
    9. Mengling Feng et al Transthoracic Echocardiography and Mortality in Sepsis: Analysis of the MIMIC-III Database. Intensive Care Medicine (IF 12.1). 2018 Jun;44(6):884-892.
    10. Mengling Feng, et al. "A New Model for Risk Stratification of Patients With Acute Pulmonary Embolism." Clinical and Applied Thrombosis/Hemostasis  (IF 2.4) 24.9_suppl (2018): 277S-284S.
    11. Lokhandwala, Sharukh, Ned McCague, Abdullah Chahin, Braiam Escobar, Mengling Feng, Mohammad M. Ghassemi, David J. Stone, and Leo Anthony Celi. "One-year mortality after recovery from critical illness: A retrospective cohort study." PloS one (IF 2.8) 13, no. 5 (2018): e0197226.
    12. Hao Du, Corey Markus, Michael Metzb, Mengling Feng (co-senior author), Tze Ping Loh,. Derivation of outcome-based pediatric critical values. Journal of Chemical Physics (IF 2.95), Mar 7;149(4):324-331, 2018
    13. Fuchs, Lior, Matthew Anstey, Mengling Feng, Ronen Toledano, Slava Kogan, Michael D. Howell, Peter Clardy, Leo Celi, Daniel Talmor, and Victor Novack. "Quantifying the mortality impact of do-not-resuscitate orders in the ICU." Critical care medicine (IF 7.05) 45, no. 6 (2017): 1019-1027.
    14. Mengling Feng (co-first author) et al. The Effect of ARDS on Survival: Do Patients Die From ARDS or With ARDS? Journal of Intensive Care Medicine (IF 3.26), in press.
    15. Mengling Feng et al. Robust Causality Analysis of Non-Stationary Multivariate Physiological Time Series, IEEE Transaction on Biomedical Engineering (IF 2.5), in press.
    16. Wu M, Ghassemi M, Mengling Feng, Celi LA, Szolovits P, Doshi-Velez F. Understanding vasopressor intervention and weaning: Risk prediction in a public heterogeneous clinical time series database. J Am Med Inform Assoc (JAMIA) (IF 3.43), Oct. 2016.  
    17. Mengling Feng (equal contribution), Aboab J, Celi LA, Charlton P, Ghassemi M, Marshall DC, Mayaud L, Naumann T, McCague N, Paik KE, Pollard TJ, Resche-Rigon M, Salciccioli JD, Stone DJ. A Datathon Model To Support Cross-disciplinary Collaboration. Science Translational Medicine (IF 15.84), 8(333):333-8, Apr. 2016.
    18. Alistair E.W. Johnson1, Tom J Pollard1, Shen Lu, Li-wei Lehman, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi1, Roger G. Mark. MIMIC-III, a freely accessible critical care database. Scientific Data, Nature, 2016 (accepted).
    19. Kenneth P. Chen, Susan Cavender, Joon Lee, Mengling Feng, Roger G. Mark, Leo Anthony Celi, Kenneth J. Mukamal, and John Danziger. Peripheral Edema, Central Venous Pressure, and Risk of AKI in Critical Illness. Clinical Journal of the American Society of Nephrology (IF: 4.61). in press.
    20. Lynch KE, Ghassemi F, Flythe JE, Mengling Feng, Ghassemi M, Celi LA, Brunelli SM. Sodium modeling to reduce intradialytic hypotension during haemodialysis for acute kidney injury in the intensive care unit. Nephrology (IF: 2.08), in-press.
    21. John Danziger, Ken Chen, Joon Lee, Mengling Feng,Roger G Mark,Leo Celi,Kenneth J Mukamal, Obesity, Acute Kidney Injury, and Mortality in Critical Illness. Critical Care Medicine (IF 6.312), Oct 22, 2015.
    22. Mengling Feng (co-first author) et al. The Association Between Indwelling Arterial Catheters and Mortality in Hemodynamically Stable Patients With Respiratory Failure: A Propensity Score Analysis. CHEST (IF 7.5),148(6):1470-6, 2015.
    23. Liu, Guimei and Zhang, Haojun and Feng, Mengling and Wong, Limsoon and Ng, See-Kiong. Supporting Exploratory Hypothesis Testing and Analysis ACM Transactions on Knowledge Discovery from Data (TKDD) (IF 1.15), 9(4) 1556-4681, 2015
    24. Ghosh, S. and Mengling Feng and Nguyen, H. and Li, J. Hypotension Risk Prediction via Sequential Contrast Patterns of ICU Blood Pressure , IEEE Journal of Biomedical and Health Informatics (IF 1.5), 2015
    25. Chen, K. P., Lee, J., Mark, R. G., Mengling Feng, Celi, L. A., Malley, B. E. and Danziger, J. Proton pump inhibitor use is not associated with cardiac arrhythmia in critically ill patients. Journal of Clinical Pharma (IF 2.5), 55: 774–779 2015
    26. Emma J de Louw, Pepijn O Sun, Joon Lee, Mengling Feng, Roger G Mark, Leo Anthony Celi, Kenneth J Mukamal, John Danziger. Increased incidence of diuretic use in critically ill obese patients Journal of critical care (IF 2.2), 30(3): 619-623
    27. Joseph Paonessa. Thomas Brennan, Marco Pimentel, Daniel Steinhaus, Mengling Feng, Leo Anthony Celi, Hyperdynamic left ventricular ejection fraction in the intensive care unit. Critical Care (IF 4.48), 19:288, 2015.
    28. Mah TL, Yap XNA, Limviphuvadh V, Li N, Srinath S, Kuralmani V, Feng Mengling, Liem N, Adhikari S, Yong WP, Soo RA, Maurer-Stroh S, Eisenhaber F, Tong JC. Novel SNP improves differential survivability and mortality in non-small cell lung cancer patients. BMC Genomics (IF 4.04) 2014, 15(Suppl 9):S20.
    29. Mengling Feng (equal contribution), et al. Making Big Data Useful for Health Care: A Summary of the Inaugural MIT Critical Data Conference. JMIR Medical Informatics (IF 4.7), 2(2): e22, 2014.
    30. Andre Dejam, Brian E Malley, Frederico Cismondi, Shinhyuk Park, Saira Samani, Zahra Samani, Duane S Pinto, Leo A Celi and Mengling Feng. The Effect of Age and Clinical Circumstances on the Outcome of Red Blood Cell Transfusion in the Critically Ill Patients. Critical Care (IF 4.72), 18 (4): 487, 2014.
    31. Marco A. F. Pimentel, Thomas Brennan, Li-wei Lehman, Nicolas Kon Kam King, Beng Ti Ang, Mengling Feng (corresponding author): Outcome Prediction for Traumatic Brain Injury Patients with Dynamic Features from Intracranial Pressure and Arterial Blood Pressure Signals: A Gaussian Process Approach. ACTA NEUROCHIRURGICA supplement (IF 1.546), in press.
    32. Yue Wang, Guimei Liu, Mengling Feng, Limsoon Wong: Response: an empirical comparison of several recent epistatic interaction detection methods. Bioinformatics (IF 6.911) 28(1): 147-148, 2012.
    33. Yue Wang, Guimei Liu, Mengling Feng and Limsoon Wong. “An Empirical Comparison of Several Recent Epistatic Interaction Detection Methods.” Bioinformatics (IF 6.911), 27(21): 2936-2943, 2011.
    34. Mengling Feng, Loy Liang Yu, Chin Pei Loon, Zhang Zhuo, Vellaisamy Kuralmani, Guan Cuntai, Nicolas Kon Kam King, Pang Boon Chuan, Ang Beng Ti: “Go Green! Reusing Brain Monitoring Data Containing Missing Values: A Feasibility Study with Traumatic Brain Injury Patients”, Acta Neurochirurgica Supplement (IF 1.546), Vol 114, 51-59, 2012.
    35. Mengling Feng, Guozhu Dong, Jinyan Li, Yap-Peng Tan, Limsoon Wong: “Pattern Space Maintenance for Data Updates and Interactive Mining”. Computational Intelligence (IF 1.0) 26(3): 282-317 (2010).
    36. Mengling Feng, Yap-Peng Tan: “Contrast adaptive binarization of low quality document images”. IEICE Electronic Express (IF 0.37) 1(16): 501-506 (2004) .

    Conference Papers (24)

    1. Du, Hao, Jiashi Feng, and Mengling Feng. "Zoom in to where it matters: a hierarchical graph based model for mammogram analysis." AAAI workshop, 2020.
    2. David Liang Tai Wong, Selva Muthu Kumaran Sathappan, Jufeng Yu, Chun Huat Heng, Pipin Kojodjojo, Mengling Feng, “Continuous ECG Monitoring Trial for Outpatient–Patient Receptiveness and Signal Accuracy”, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
    3. Huang, Dianwen, and Mengling Feng. "Understanding Deep Convolutional Networks for Biomedical Imaging: A Practical Tutorial." 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2019.
    4. Hao Du, Mohammad Ghassemi, Mengling Feng. The Effects of Deep Network Topology on Mortality Prediction. Accepted in IEEE EMBC, 2016.
    5. Marzyeh Ghassemi, Marco Pimentel, Tristan Naumann, Thomas Brennan, David Clifton, Peter Szolovits, Mengling Feng (corresponding author). “A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data”. AAAI, 446-453, 2015.
    6. Mengling Feng, Mohammad Ghassemi, Thomas Brennan, John Ellenberger, Ishrar Hussain, Roger Mark. Management and Analysis of Biomedical Big Data with Cloud-based In-Memory Database and Dynamic Querying (Tutorial). KDD, 2014.
    7. Shameek Ghosh, Mengling Feng, Hung Nguyen and Jinyan Li. Predicting Heart Beats using Co-occurring Constrained Sequential Patterns, Computing in Cardiology, 265-268, 2014.
    8. Shameek Ghosh, Mengling Feng, Hung Nguyen, Jinyan Li. Risk Prediction for Acute Hypotensive Patients by Using Gap Constrained Sequential Contrast Patterns, AMIA, 1748-1757, 2014.
    9. Mengling Feng, Mohammad Ghassemi, Thomas Brennan, John Ellenberger, Ishrar Hussain, Roger Mark. Systems Demonstration: Big Data for Critical Care with Cloud-based In-Memory Database, AMIA 2014.
    10. Bin Han, Michael Muma, Mengling Feng, and Abdelhak M. Zoubir. “An Online Approach For LCP Forecasting Based On Signal Decomposition And Robust Statistics”. Proceedings of 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), page 6239 2013.
    11. Mengling Feng, Liang Yu Loy, Kelvin Sim, Clifton Phua, Feng Zhang, Cuntai Guan. “Artifact Correction with Robust Statistics for Non-Stationary Intracranial Pressure Signal Monitoring.” Proceedings of 21st International Conference on Pattern Recognition (ICPR), page 557--560, 2012.
    12. Feng Zhang, Mengling Feng (corresponding author), Liang Yu Loy, Zhuo Zhang, Cuntai Guan. “Online ICP Forecast for Patients with Traumatic Brain Injury”. Proceedings of 21st International Conference on Pattern Recognition (ICPR), page 37--40, 2012.
    13. Mengling Feng, Zhuo Zhang, Cuntai Guan, David Roi Hardoon, Nicolas Kon Kam King, Boon Chuan Pang, Beng Ti Ang. “Utilization of Temporal Information for Intracranial Pressure Development Trend Forecasting in Traumatic Brain Injury”. Proceedings of 33rd International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2012 (accepted).
    14. Mengling Feng, Liang Yu Loy, Feng Zhang, Cuntai Guan. “Artifact Removal for Intracranial Pressure Monitoring Signals: A Robust Solution with Signal Decomposition”. Proceedings of 33rd International Conference of the IEEE Engineering in Medicine and Biology Society, 2011.
    15. Mengling Feng, Zhuo Zhang, Feng Zhang, Yu Ge, Liang Yu Loy, Kuralmani Vellaisamy, Wenyuan Guo, Pei Loon Chin, Nicolas Kon Kam King, Beng Ti Ang, Cuntai Guan. “iSyNCC: An Intelligent System for Patient Monitoring & Clinical Decision Support in Neuro-Critical-Care”. Proceedings of 33rd International Conference of the IEEE Engineering in Medicine and Biology Society, 2011.
    16. Feng Zhang, Mengling Feng, Sinno Jialin Pan, Liang Yu Loy, Wenyuan Guo, Zhuo Zhang, Pei Loon Chin, Cuntai Guan, Nicolas Kon Kam King, Beng Ti Ang. “Artificial Neural Network Based Intracranial Pressure Mean Forecast Algorithm for Medical Decision Support”. Proceedings of 33rd International Conference of the IEEE Engineering in Medicine and Biology Society, 2011.
    17. Sujit Kumar Sahoo, Wenmiao Lu, Sintiani Dewi Teddy, Desok Kim, Mengling Feng. “Detection of Atrial Fibrillation from Non Episodic ECG Data: A Review of Methods”. Proceedings of 33rd International Conference of the IEEE Engineering in Medicine and Biology Society, 2011.
    18. Guimei Liu, Mengling Feng, Yue Wang, Limsoon Wong, See-Kiong Ng, Tzia Liang Mah, Edmund Jon Deoon Lee: “Towards exploratory hypothesis testing and analysis”, ICDE 2011: 745-756.
    19. Mengling Feng, Loy Liang Yu, Chin Pei Loon, Zhang Zhuo, Vellaisamy Kuralmani, Guan Cuntai, Nicolas Kon Kam King, Pang Boon Chuan, Ang Beng Ti: “Go Green! A Strategic Guide to Reuse Brain Monitoring Data with Missing Values”, International Conference on Intracranial Pressure and Brain Monitoring, 2010.
    20. Thanh-Son Ngo, Mengling Feng, Guimei Liu, Limsoon Wong: “Efficiently Finding the Best Parameter for the Emerging Pattern-Based Classifier PCL”. PAKDD 2010: 121-133.
    21. Mengling Feng, Jinyan Li, Limsoon Wong, Yap-Peng Tan: “Negative Generator Border for Effective Pattern Maintenance”. ADMA 2008: 217-228.
    22. Mengling Feng, Guozhu Dong, Jinyan Li, Yap-Peng Tan, Limsoon Wong: “Evolution and Maintenance of Frequent Pattern Space When Transactions Are Removed”. PAKDD 2007: 489-497.
    23. Haiquan Li, Jinyan Li, Limsoon Wong, Mengling Feng, Yap-Peng Tan: “Relative risk and odds ratio: a data mining perspective”. PODS 2005: 368-377.
    24. Mengling Feng, Yap-Peng Tan: “Adaptive binarization method for document image analysis”. ICME 2004: 339-342.

    Book Chapters

    1. Mengling Feng, MIT Critical Care, Secondary Analysis of Electronic Health Records, Springer, 2016.
    2. Mengling Feng, Mohammad Ghassemi, Communication Networks for Global Health, Global Health Informatics, MIT Press, 2016.
    3. Mengling Feng and Guozhu Dong. Incremental Maintenance of Emerging Patterns. Contrast Data Mining, edited by Guozhu Dong and James Bailey, chapter V, pages 69--86, CRC Press, 2013.
    4. Mengling Feng, Jinyan Li, Guozhu Dong, Limsoon Wong. Maintenance of Frequent Patterns: A Survey. Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction, edited by Yanchang Zhao, Chengqi Zhang, and Longbing Cao, chapter XIV, pages 275--295, IGI Global, May 2009.

    Posters & Abstracts

    1. Mengling Feng, Liang Yu Loy, Feng Zhang, Ja Lu Htun, Min Tun Myo, Jiongle Lam, Andrew de Rozario, Nicolas Kon Kam King, Beng Ti Ang. Artifact Removal from Intracranial Pressure Monitoring Signals: A Solution based on Robust Statistics & Empirical Mode Decomposition, National Neurotrauma Symposium 2011
    2. Feng Zhang, Mengling Feng, Jialin Sinno Pan, Liang Yu Loy, Wenyuan Guo, Zhuo Zhang, Cuntai Guan, Nicolas Kon Kam King, Beng Ti Ang. Short-term Trend Forecast of Neurophysiological Signals for Medical Decision Support, National Neurotrauma Symposium, 2011
    3. Mengling Feng, Loy Liang Yu, Chin Pei Loon, Zhang Zhuo, Vellaisamy Kuralmani, Guan Cuntai, Nicolas Kon Kam King, Pang Boon Chuan, Ang Beng Ti. Go Green! A Strategic Guide to Reuse Brain Monitoring Data with Missing Values. International Conference on Intracranial Pressure and Brain Monitoring, 2010.

    Ph.D. Thesis

    Mengling Feng, Frequent Pattern Space Maintenance: Theories and Algorithms, (supervisor: Limsoon Wong, co-supervisors: Yap Peng Tan, Jinyan Li)

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