Kenney Ng - researchr alias

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Viewing Publication 1 - 60 from 60

2024

2022

RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population SubgroupsBum chul Kwon, Uri Kartoun, Shaan Khurshid, Mikhail Yurochkin, Subha Maity, Deanna G. Brockman, Amit V. Khera, Patrick T. Ellinor, Steven A. Lubitz, Kenney Ng. visualization 2022: 50-54 [doi]

Human-centered explainability for life sciences, healthcare, and medical informaticsSanjoy Dey, Prithwish Chakraborty, Bum chul Kwon, Amit Dhurandhar, Mohamed F. Ghalwash, Fernando J. Suarez Saiz, Kenney Ng, Daby Sow, Kush R. Varshney, Pablo Meyer 0001. patterns, 3(5):100493, 2022. [doi]

Feature Selection Based on Subpopulations and Propensity Score Matching: A Coronary Artery Disease Use Case using the UK BiobankUri Kartoun, Paul Myers, Kristen A. Severson, Wangzhi Dai, Kenney Ng, Collin M. Stultz. amia 2022: [doi]

Assessing the Robustness and Internal Consistency of the Pooled Cohort EquationsUri Kartoun, Shaan Khurshid, BC Kwon, Aniruddh P. Patel, Akl Fahed, Puneet Batra, Anthony Philippakis, Steven A. Lubitz, Amit V. Khera, Patrick Ellinor, Vibha Anand, Kenney Ng. amia 2022: [doi]

Silhouette images enable estimation of body fat distribution and associated cardiometabolic riskMarcus D. R. Klarqvist, Saaket Agrawal, Nathaniel Diamant, Patrick T. Ellinor, Anthony Philippakis, Kenney Ng, Puneet Batra, Amit V. Khera. npjdm, 5, 2022. [doi]

Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal dataDivya Ramamoorthy, Kristen Severson, Soumya Ghosh, Karen Sachs, Emily G. Baxi, Alyssa N. Coyne, Elizabeth Mosmiller, Lindsey Hayes, Aianna Cerezo, Omar Ahmad, Promit Roy, Steven Zeiler, John W. Krakauer, Jonathan Li, Aneesh Donde, Nhan Huynh, Miriam Adam, Brook T. Wassie, Alexander LeNail, Natasha Leanna Patel-Murray, Yogindra Raghav, Karen Sachs, Velina Kozareva, Stanislav Tsitkov, Tobias Ehrenberger, Julia A. Kaye, Leandro Lima, Stacia K. Wyman, Edward Vertudes, Naufa Amirani, Krishna Raja, Reuben Thomas, Ryan G. Lim, Ricardo Miramontes, Jie Wu, Vineet Vaibhav, Andrea Matlock, Vidya Venkatraman, Ronald Holewenski, Niveda Sundararaman, Rakhi Pandey, Danica-Mae Manalo, Aaron Frank, Loren Ornelas, Lindsey Panther, Emilda Gomez, Erick Galvez, Daniel Pérez, Imara Meepe, Susan Lei, Louis Pinedo, Chunyan Liu, Ruby Moran, Dhruv Sareen, Barry Landin, Carla Agurto, Guillermo A. Cecchi, Raquel Norel, Sara Thrower, Sarah Luppino, Alanna Farrar, Lindsay Pothier, Hong Yu, Ervin Sinani, Prasha Vigneswaran, Alexander V. Sherman, S. Michelle Farr, Berhan Mandefro, Hannah Trost, Maria G. Banuelos, Veronica Garcia, Michael Workman, Richie Ho, Robert Baloh, Jennifer Roggenbuck, Matthew B. Harms, Carolyn Prina, Sarah Heintzman, Stephen Kolb, Jennifer Stocksdale, Keona Wang, Todd Morgan, Daragh Heitzman, Arish Jamil, Jennifer Jockel-Balsarotti, Elizabeth Karanja, Jesse Markway, Molly McCallum, Tim Miller, Ben Joslin, Deniz Alibazoglu, Senda Ajroud-Driss, Jay C. Beavers, Mary Bellard, Elizabeth Bruce, Nicholas J. Maragakis, Merit E. Cudkowicz, James D. Berry, Terri Thompson, Steven Finkbeiner, Leslie M. Thompson, Jennifer E. Van Eyk, Clive N. Svendsen, Jeffrey D. Rothstein, Jonathan D. Glass, Christina N. Fournier, Alexander Sherman, Christian Lunetta, David Walk, Ghazala Hayat, James Wymer, Kelly Gwathmey, Nicholas Olney, Senda Ajroud-Driss, Terry Heiman-Patterson, Ximena Arcila-Londono, Kenneth Faulconer, Ervin Sanani, Alex Berger, Julia Mirochnick, Todd M. Herrington, Kenney Ng, Ernest Fraenkel. ncs, 2(9):605-616, 2022. [doi]

2021

Selection of 51 predictors from 13, 782 candidate multimodal features using machine learning improves coronary artery disease predictionSaaket Agrawal, Marcus D. R. Klarqvist, Connor Emdin, Aniruddh P. Patel, Manish D. Paranjpe, Patrick T. Ellinor, Anthony Philippakis, Kenney Ng, Puneet Batra, Amit V. Khera. patterns, 2(12):100364, 2021. [doi]

Interactive Model Report Card for Visual Exploration of Performance Heterogeneity and Biases on Population SubgroupsBum chul Kwon, Uri Kartoun, Shaan Khurshid, Amit V. Khera, Patrick Ellinor, Steven A. Lubitz, Kenney Ng. amia 2021: [doi]

DPVis: Visual Analytics With Hidden Markov Models for Disease Progression PathwaysBum chul Kwon, Vibha Anand, Kristen A. Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I. Frohnert, Markus Lundgren, Kenney Ng. tvcg, 27(9):3685-3700, 2021. [doi]

State of the Art Causal Inference in the Presence of Extraneous Covariates: A Simulation StudyRaluca Cobzaru, Sharon Jiang, Kenney Ng, Stan Finkelstein, Roy Welsch, Zachary Shahn. amia 2021: [doi]

Impact of Clinical and Genomic Factors on COVID-19 Disease SeveritySanjoy Dey, Aritra Bose, Subrata Saha, Prithwish Chakraborty, Mohamed F. Ghalwash, Filippo Utro, Aldo Guzmán-Sáenz, Kenney Ng, Jianying Hu, Laxmi Parida, Daby Sow. amia 2021: [doi]

How Robust is Your Risk Model? Assessing Subpopulation Performance Heterogeneity in Risk Models Based on Discrimination, Calibration, and Fairness Measures: An Atrial Fibrillation Use CaseUri Kartoun, Shaan Khurshid, Bum chul Kwon, Amit V. Khera, Patrick T. Ellinor, Steven A. Lubitz, Kenney Ng. amia 2021: [doi]

Disease network delineates the disease progression profile of cardiovascular diseasesZefang Tang, Yiqin Yu, Kenney Ng, Daby Sow, Jianying Hu, Jing Mei. jbi, 115:103686, 2021. [doi]

Precision population analytics: population management at the point-of-carePaul C. Tang, Sarah Miller, Harry Stavropoulos, Uri Kartoun, John Zambrano, Kenney Ng. jamia, 28(3):588-595, 2021. [doi]

Post-hoc loss-calibration for Bayesian neural networksMeet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin. uai 2021: 1403-1412 [doi]

2020

Tutorial on Human-Centered Explainability for HealthcarePrithwish Chakraborty, Bum chul Kwon, Sanjoy Dey, Amit Dhurandhar, Daniel Gruen, Kenney Ng, Daby Sow, Kush R. Varshney. kdd 2020: 3547-3548 [doi]

Modeling Disease Progression Trajectories from Longitudinal Observational DataBum chul Kwon, Peter Achenbach, Jessica L. Dunne, William Hagopian, Markus Lundgren, Kenney Ng, Riitta Veijola, Brigitte I. Frohnert, Vibha Anand. amia 2020: [doi]

Leveraging Longitudinal Autoantibody for Phenotyping of Progression Rates to Type 1 DiabetesMohamed Ghalwash, Vibha Anand, Kenney Ng, Jessica L. Dunne, Markus Lundgren, Marian Rewers, Riitta Veijola. amia 2020: [doi]

Predicting Type 1 Diabetes Onset using Novel Survival Analysis with Biomarker OntologyYing Li, Bin Liu, Vibha Anand, Markus Lundgren, Kenney Ng, Marian Rewers, Riitta Veijola, Mohamed Ghalwash. amia 2020: [doi]

Prognostication and Outcome-specific Risk Factor Identification for Diabetes Care via Private-shared Multi-task LearningBin Liu, Ying Li, Kenney Ng. bigdataconf 2020: 1186-1195 [doi]

Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning ApproachBin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu. tkde, 32(7):1276-1289, 2020. [doi]

Identifying unreliable predictions in clinical risk modelsPaul Myers, Kenney Ng, Kristen A. Severson, Uri Kartoun, Wangzhi Dai, Wei Huang, Fred Anderson, Collin M. Stultz. npjdm, 3, 2020. [doi]

Personalized Input-Output Hidden Markov Models for Disease Progression ModelingKristen A. Severson, Lana M. Chahine, Luba Smolensky, Kenney Ng, Jianying Hu, Soumya Ghosh. mlhc 2020: 309-330 [doi]

Embracing Disease Progression with a Learning System for Real World Evidence DiscoveryZefang Tang, Lun Hu, Xu Min, Yuan Zhang, Jing Mei, Kenney Ng, Shaochun Li, Pengwei Hu, Zhuhong You. icic 2020: 524-534 [doi]

2019

2018

Preface: User-generated health data and applicationsChing-Hua Chen, Kenney Ng. ibmrd, 62(1):1-3, 2018. [doi]

Clustervision: Visual Supervision of Unsupervised ClusteringBum chul Kwon, Ben Eysenbach, Janu Verma, Kenney Ng, Christopher deFilippi, Walter F. Stewart, Adam Perer. tvcg, 24(1):142-151, 2018. [doi]

Estimating Personalized Drug Effects with Longitudinal Observational DataSanjoy Dey, Ping Zhang 0016, Kenney Ng. amia 2018: [doi]

Curating and integrating user-generated health data from multiple sources to support healthcare analyticsChris Kakkanatt, Michael Benigno, Margaret Jackson, Paul Huang, Kenney Ng. ibmrd, 62(1):2, 2018. [doi]

Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis ApproachBin Liu, Ying Li, Zhaonan Sun, Soumya Ghosh, Kenney Ng. AAAI 2018: 101-108 [doi]

2016

2015

Towards Cognitive Automation of Data ScienceAlain Biem, Maria Butrico, Mark Feblowitz, Tim Klinger, Yuri Malitsky, Kenney Ng, Adam Perer, Chandra Reddy, Anton Riabov, Horst Samulowitz, Daby M. Sow, Gerald Tesauro, Deepak S. Turaga. AAAI 2015: 4268-4269 [doi]

Early Detection of Heart Failure using Data Driven Modeling Approaches on Electronic Health Records: How far can one go without Domain Knowledge?Kenney Ng, Yajuan Wang, Jianying Hu, Walter F. Stewart, Steven R. Steinhubl, Christopher deFilippi. amia 2015: [doi]

Curating and Integrating Data from Multiple Sources to Support Healthcare AnalyticsKenney Ng, Chris Kakkanatt, Michael Benigno, Clay Thompson, Margaret Jackson, Amos Cahan, Xinxin Zhu, Ping Zhang, Paul Huang. medinfo 2015: 1056 [doi]

Early detection of heart failure with varying prediction windows by structured and unstructured data in electronic health recordsYajuan Wang, Kenney Ng, Roy J. Byrd, Jianying Hu, Shahram Ebadollahi, Zahra Daar, Christopher deFilippi, Steven R. Steinhubl, Walter F. Stewart. embc 2015: 2530-2533 [doi]

2014

PARAMO: A PARAllel predictive MOdeling platform for healthcare analytic research using electronic health recordsKenney Ng, Amol Ghoting, Steven R. Steinhubl, Walter F. Stewart, Bradley Malin, Jimeng Sun. jbi, 48:160-170, 2014. [doi]

2011

Auto-Grouping Emails For Faster E-DiscoverySachindra Joshi, Danish Contractor, Kenney Ng, Prasad M. Deshpande, Thomas Hampp. pvldb, 4(12):1284-1294, 2011. [doi]

2000

Subword-based approaches for spoken document retrievalKenney Ng. PhD thesis, Massachusetts Institute of Technology, Cambridge, MA, USA, 2000. [doi]

Subword-based approaches for spoken document retrievalKenney Ng, Victor W. Zue. speech, 32(3):157-186, 2000. [doi]

Towards an integrated approach for spoken document retrievalKenney Ng. interspeech 2000: 672-675 [doi]

Information fusion for spoken document retrievalKenney Ng. icassp 2000: 2405-2408 [doi]

1999

A Maximum Likelihood Ratio Information Retrieval ModelKenney Ng. trec 1999: [doi]

1998

Phonetic recognition for spoken document retrievalKenney Ng, Victor W. Zue. icassp 1998: 325-328 [doi]

Towards robust methods for spoken document retrievalKenney Ng. interspeech 1998: [doi]

1997

Subword unit representations for spoken document retrievalKenney Ng, Victor W. Zue. interspeech 1997: 1607-1610 [doi]

1996

Parametric trajectory models for speech recognitionHerbert Gish, Kenney Ng. interspeech 1996: 466-469 [doi]

1995

Reducing word error rate on conversational speech from the Switchboard corpusPhilippe Jeanrenaud, Ellen Eide, Upendra V. Chaudhari, John W. McDonough, Kenney Ng, Man-Hung Siu, Herbert Gish. icassp 1995: 53-56 [doi]

1994

Approaches to topic identification on the switchboard corpusJohn W. McDonough, Kenney Ng, Philippe Jeanrenaud, Herbert Gish, Jan Robin Rohlicek. icassp 1994: 385-388 [doi]

1993

1992

Secondary processing using speech segments for an HMM word spotting systemHerbert Gish, Kenney Ng, Jan Robin Rohlicek. interspeech 1992: 17-20 [doi]

Robust mapping of noisy speech parameters for HMM word spottingKenney Ng, Herbert Gish, Jan Robin Rohlicek. icassp 1992: 109-112 [doi]

1990

Practical Characteristics of Neural Network and Conventional Patterns ClassifiersKenney Ng, Richard Lippmann. nips 1991: 970-976 [doi]

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