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Challenges in Custom Machine Learning Model Implementation in a Vendor System: Use of a Deep Learning Model for Pediatric CLABSI Prediction.

J. Beus, E. Ray, S. Thompson, R. Birmingham, B. Cundiff, M. Malto, K. Duncan, D. Gunda, R. Kamaleswaran, and E. Orenstein. AMIA, AMIA, (2022)

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CoRAD: Visual Analytics for Cohort Analysis.R. Kamaleswaran, A. James, C. Collins, and C. McGregor. ICHI, page 517-526. IEEE Computer Society, (2016)CBPsp: Complex Business Processes for Stream Processing.R. Kamaleswaran, and C. McGregor. CCECE, page 1-4. IEEE, (2012)Challenges in Custom Machine Learning Model Implementation in a Vendor System: Use of a Deep Learning Model for Pediatric CLABSI Prediction.J. Beus, E. Ray, S. Thompson, R. Birmingham, B. Cundiff, M. Malto, K. Duncan, D. Gunda, R. Kamaleswaran, and E. Orenstein. AMIA, AMIA, (2022)On the integration of an artifact system and a real-time healthcare analytics system.M. Blount, C. McGregor, A. James, D. Sow, R. Kamaleswaran, S. Tuuha, J. Percival, and N. Percival. IHI, page 647-655. ACM, (2010)A novel framework for event stream processing of clinical practice guidelines.R. Kamaleswaran, C. McGregor, and A. James. BHI, page 933-936. IEEE, (2012)Meta-learning in Healthcare: A Survey.A. Rafiei, R. Moore, S. Jahromi, F. Hajati, and R. Kamaleswaran. SN Comput. Sci., 5 (6): 791 (August 2024)Enabling Continuous Breathing-Phase Contextualization via Wearable-Based Impedance Pneumography and Lung Sounds: A Feasibility Study.J. Sanchez-Perez, A. Gazi, S. Mabrouk, J. Berkebile, G. Ozmen, R. Kamaleswaran, and O. Inan. IEEE J. Biomed. Health Informatics, 27 (12): 5734-5744 (December 2023)Cardiac Rhythm Classification from a Short Single Lead ECG Recording via Random Forest.R. Mahajan, R. Kamaleswaran, J. Howe, and O. Akbilgic. CinC, www.cinc.org, (2017)Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes.S. Wei, Y. Xie, C. Josef, and R. Kamaleswaran. KDD, page 2536-2546. ACM, (2023)Parsimonious waveform-derived features consisting of pulse arrival time and heart rate variability predicts the onset of septic shock.M. Soliman, C. Marshall, J. Kimball, T. Choudhary, G. Clermont, M. Pinsky, T. Buchman, C. Coopersmith, O. Inan, and R. Kamaleswaran. Biomed. Signal Process. Control., (2024)

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Disambiguation of "Kamaleswaran, Rishikesan"

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Challenges in Custom Machine Learning Model Implementation in a Vendor System: Use of a Deep Learning Model for Pediatric CLABSI Prediction.

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Disambiguation of "Kamaleswaran, Rishikesan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Challenges in Custom Machine Learning Model Implementation in a Vendor System: Use of a Deep Learning Model for Pediatric CLABSI Prediction.

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Challenges in Custom Machine Learning Model Implementation in a Vendor System: Use of a Deep Learning Model for Pediatric CLABSI Prediction.