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Books and Theses
- 2010
[b1]Yizhao Ni:
Beyond multi-class : structured learning for machine translation. University of Southampton, UK, 2010
Journal Articles
- 2021
- [j22]Manan Shah
, Derek Shu, V. B. Surya Prasath, Yizhao Ni, Andrew Schapiro, Kevin R. Dufendach:
Machine Learning for Detection of Correct Peripherally Inserted Central Catheter Tip Position from Radiology Reports in Infants. Appl. Clin. Inform. 12(4): 856-863 (2021) - [j21]Guangyuan Li, Balaji Iyer, V. B. Surya Prasath, Yizhao Ni, Nathan Salomonis:
DeepImmuno: deep learning-empowered prediction and generation of immunogenic peptides for T-cell immunity. Briefings Bioinform. 22(6) (2021) - [j20]Yizhao Ni, Alycia Bachtel, Katie Nause, Sarah Beal:
Automated detection of substance use information from electronic health records for a pediatric population. J. Am. Medical Informatics Assoc. 28(10): 2116-2127 (2021) - [j19]Danqing Xu, Chen Wang, Atlas Khan, Ning Shang, Zihuai He, Adam S. Gordon, Iftikhar J. Kullo, Shawn N. Murphy, Yizhao Ni, Wei-Qi Wei, Ali Gharavi, Krzysztof Kiryluk, Chunhua Weng, Iuliana Ionita-Laza:
Quantitative disease risk scores from EHR with applications to clinical risk stratification and genetic studies. npj Digit. Medicine 4 (2021) - 2020
- [j18]Yizhao Ni, Drew Barzman, Alycia Bachtel, Marcus Griffey, Alexander Osborn, Michael Sorter:
Finding warning markers: Leveraging natural language processing and machine learning technologies to detect risk of school violence. Int. J. Medical Informatics 139: 104137 (2020) - 2019
- [j17]Lei Liu, Yizhao Ni, Nanhua Zhang, J. Nick Pratap:
Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery. Int. J. Medical Informatics 129: 234-241 (2019) - 2018
- [j16]Yizhao Ni, Todd Lingren, Eric S. Hall, Matthew Leonard, Kristin Melton, Eric S. Kirkendall:
Designing and evaluating an automated system for real-time medication administration error detection in a neonatal intensive care unit. J. Am. Medical Informatics Assoc. 25(5): 555-563 (2018) - 2016
- [j15]Cassandra Brady, Bahram Namjou, Stephanie Kennebeck, Jonathan Bickel, Nandan Patibandla, Yizhao Ni, Sara Van Driest, Lixin Chen, Ashton Roach, Beth Cobb, Jacqueline Kirby, Joshua C. Denny, Lisa Bailey-Davis, Marc S. Williams, Keith Marsolo, Imre Solti, Ingrid A. Holm, John Harley, Isaac S. Kohane, Guergana Savova, Nancy Crimmins, Todd Lingren, Vidhu Thaker:
Developing an Algorithm to Detect Early Childhood Obesity in Two Tertiary Pediatric Medical Centers. Appl. Clin. Inform. 07(03): 693-706 (2016) - [j14]Yizhao Ni, Andrew F. Beck, Regina Taylor, Jenna Dyas, Imre Solti, Jacqueline Grupp-Phelan, Judith W. Dexheimer:
Will they participate? Predicting patients' response to clinical trial invitations in a pediatric emergency department. J. Am. Medical Informatics Assoc. 23(4): 671-680 (2016) - 2015
- [j13]Yizhao Ni, Stephanie Kennebeck, Judith W. Dexheimer, Constance M. McAneney, Huaxiu Tang, Todd Lingren, Qi Li, Haijun Zhai, Imre Solti:
Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department. J. Am. Medical Informatics Assoc. 22(1): 166-178 (2015) - [j12]Huan Mo, William K. Thompson, Luke V. Rasmussen, Jennifer A. Pacheco, Guoqian Jiang, Richard C. Kiefer, Qian Zhu, Jie Xu, Enid N. H. Montague, David S. Carrell, Todd Lingren, Frank D. Mentch, Yizhao Ni, Firas H. Wehbe, Peggy L. Peissig, Gerard Tromp, Eric B. Larson, Christopher G. Chute, Jyotishman Pathak, Joshua C. Denny, Peter Speltz, Abel N. Kho, Gail P. Jarvik, Cosmin Adrian Bejan, Marc S. Williams, Kenneth Borthwick, Terrie E. Kitchner, Dan M. Roden, Paul A. Harris:
Desiderata for computable representations of electronic health records-driven phenotype algorithms. J. Am. Medical Informatics Assoc. 22(6): 1220-1230 (2015) - [j11]Qi Li, Eric S. Kirkendall, Eric S. Hall, Yizhao Ni, Todd Lingren, Megan Kaiser, Nataline Lingren, Haijun Zhai, Imre Solti, Kristin Melton:
Automated detection of medication administration errors in neonatal intensive care. J. Biomed. Informatics 57: 124-133 (2015) - [j10]Yizhao Ni, Jordan Wright, John Perentesis, Todd Lingren, Louise Deléger, Megan Kaiser, Isaac S. Kohane, Imre Solti:
Increasing the efficiency of trial-patient matching: automated clinical trial eligibility Pre-screening for pediatric oncology patients. BMC Medical Informatics Decis. Mak. 15: 28 (2015) - [j9]Qi Li, Stephen Andrew Spooner, Megan Kaiser, Nataline Lingren, Jessica Robbins, Todd Lingren, Huaxiu Tang, Imre Solti, Yizhao Ni:
An end-to-end hybrid algorithm for automated medication discrepancy detection. BMC Medical Informatics Decis. Mak. 15: 37 (2015) - 2014
- [j8]Qi Li, Kristin Melton, Todd Lingren, Eric S. Kirkendall, Eric S. Hall, Haijun Zhai, Yizhao Ni, Megan Kaiser, Laura Stoutenborough, Imre Solti:
Research and applications: Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care. J. Am. Medical Informatics Assoc. 21(5): 776-784 (2014) - [j7]Louise Deléger, Todd Lingren, Yizhao Ni, Megan Kaiser, Laura Stoutenborough, Keith Marsolo, Michal Kouril, Katalin Molnár, Imre Solti:
Preparing an annotated gold standard corpus to share with extramural investigators for de-identification research. J. Biomed. Informatics 50: 173-183 (2014) - [j6]Matt McVicar, Raúl Santos-Rodriguez, Yizhao Ni, Tijl De Bie:
Automatic Chord Estimation from Audio: A Review of the State of the Art. IEEE ACM Trans. Audio Speech Lang. Process. 22(2): 556-575 (2014) - 2013
- [j5]Yizhao Ni, Matt McVicar, Raúl Santos-Rodríguez, Tijl De Bie:
Understanding Effects of Subjectivity in Measuring Chord Estimation Accuracy. IEEE ACM Trans. Audio Speech Lang. Process. 21(12): 2607-2615 (2013) - 2012
- [j4]Yizhao Ni, Matt McVicar, Raúl Santos-Rodriguez, Tijl De Bie:
An End-to-End Machine Learning System for Harmonic Analysis of Music. IEEE Trans. Speech Audio Process. 20(6): 1771-1783 (2012) - 2011
- [j3]Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan:
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation. J. Mach. Learn. Res. 12: 1-30 (2011) - [j2]Carlton Chu, Yizhao Ni, Geoffrey C. Y. Tan, Craig Saunders, John Ashburner:
Kernel regression for fMRI pattern prediction. NeuroImage 56(2): 662-673 (2011) - 2010
- [j1]Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan:
The application of structured learning in natural language processing. Mach. Transl. 24(2): 71-85 (2010)
Conference and Workshop Papers
- 2022
- [c27]Yizhao Ni, Ferosh Jacob, Priya Gopi Achuthan, Hui Wu, Faizan Javed:
Automated Evaluation of the Search Relevance Capability for Kp.org. AMIA 2022 - [c26]Yizhao Ni, Ferosh Jacob, Priya Gopi Achuthan, Hui Wu, Faizan Javed:
Leveraging Automated Search Relevance Evaluation to Improve System Deployment: A Case Study in Healthcare. CIKM 2022: 5092-5093 - 2021
- [c25]Lei Liu, Danny T. Wu, Stephen Andrew Spooner, Yizhao Ni:
Development and Evaluation of an Automated Approach to Detect Weight Abnormalities in Pediatric Weight Charts. AMIA 2021 - [c24]Yizhao Ni, Farhan Zafar, Alia Dani, David Morales, Lara J. Kanbar:
Developing an Automated Recipient Risk Prediction Tool for Life-long Mortality After Pediatric Heart Transplantation. AMIA 2021 - [c23]Danny T. Y. Wu, P. J. Van Camp, Abraham Kim, Milan N. Parikh, Lei Liu, C. Monifa Mahdi, Yizhao Ni, Stephen Andrew Spooner:
User-Centered Evaluation of a Visual Annotation Tool for Rapid Assessment of Pediatric Weight Entry Errors. MedInfo 2021: 517-521 - 2020
- [c22]Manan Shah, Derek Shu, V. B. Surya Prasath, Yizhao Ni, Andrew Schapiro, Kevin R. Dufendach:
Machine Learning to Identify Peripherally Inserted Central Catheter (PICC) Tip Position from Radiology Reports. AMIA 2020 - 2019
- [c21]P. J. Van Camp, Lei Liu, Cecilia Mahdi, Stephen Andrew Spooner, Yizhao Ni, Danny T. Wu:
Evaluating a Visual Annotation Tool on Pediatric Weight Charts. AMIA 2019 - [c20]Lei Liu, P. J. Van Camp, C. Monifa Mahdi, Stephen Andrew Spooner, Danny T. Y. Wu, Yizhao Ni:
Development and Evaluation of a Machine Learning-based Approach to Detect Errors in Pediatric Weight Data. AMIA 2019 - [c19]P. J. Van Camp, C. Monifa Mahdi, Lei Liu, Yizhao Ni, Stephen Andrew Spooner, Danny T. Y. Wu:
Development and Preliminary Evaluation of a Visual Annotation Tool to Rapidly Collect Expert-Annotated Weight Errors in Pediatric Growth Charts. MedInfo 2019: 853-857 - 2018
- [c18]Judith W. Dexheimer, Monica Bermudez, Stephanie Kennebeck, Stacey Liddy-Hicks, Yizhao Ni:
Evaluating the Effectiveness of a Real-Time Automated Patient Screening System in an Emergency Department via Time-and-Motion Methodology. AMIA 2018 - [c17]Yizhao Ni, Drew Barzman, Alycia Bachtel, Marcus Griffey, Kenneth Lin, Michael Sorter:
Finding Warning Markers: Automated Risk Assessment for School Violence. AMIA 2018 - [c16]Danny T. Wu, Karthikayan Meganathan, Matthew Newcomb, Yizhao Ni, Judith W. Dexheimer, Eric S. Kirkendall, Stephen Andrew Spooner:
A Comparison of Existing Methods to Detect Weight Data Errors in a Pediatric Academic Medical Center. AMIA 2018 - 2017
- [c15]Todd Lingren, Yizhao Ni, Eric S. Hall, Matthew Leonard, Eric S. Kirkendall, Kristin Melton:
Integrating Smart Pump Infusion Data with Electronic Health Record Data to Analyze Medication Administration Alerts. AMIA 2017 - [c14]Yizhao Ni, Todd Lingren, Eric S. Hall, Matthew Leonard, Kristin Melton, Eric S. Kirkendall:
Designing and Evaluating an Automated System for Real-time Medication Administration Error Detection in a Neonatal Intensive Care Unit. AMIA 2017 - 2016
- [c13]Yizhao Ni, Charles Moomaw, Kathleen Alwell, Dawn Kleindorfer, Daniel Woo, Opeolu Adeoye, Matthew Flaherty, Simona Ferioli, Jason Mackey, Felipe De Los Rios La Rosa, Sharyl Martini, Pooja Khatri, Brett M. Kissela:
Towards Phenotyping Stroke: Leveraging Electronic Health Record Data to Identify Stroke Cases in a Large-scale Epidemiological Study. AMIA 2016 - 2015
- [c12]Yizhao Ni, Andrew F. Beck, Regina Taylor, Jenna Dyas, Imre Solti, Judith W. Dexheimer:
Will they participate? Predicting patients' response to clinical trial invitations. AMIA 2015 - 2014
- [c11]Todd Lingren, Pawel Matykiewicz, Yizhao Ni, Shannon M. Standridge, Katherine D. Holland, Imre Solti, Tracy A. Glauser, John Pestian:
Detecting Epilepsy Diagnosis in Clinical Notes: A Comparison of Traditional Text Classification Methods. AMIA 2014 - [c10]Yizhao Ni, Stephanie Kennebeck, Constance M. McAneney, Judith W. Dexheimer, Todd Lingren, Qi Li, Haijun Zhai, Imre Solti:
Automated Clinical Trial Eligibility Pre-Screening: Increasing the Efficiency of Participant Identification for Clinical Trials. AMIA 2014 - [c9]Huaxiu Tang, Melanie Hounchell, Judith W. Dexheimer, Stephanie Kennebeck, Imre Solti, Yizhao Ni:
A Time-and-motion Study of Clinical Trial Eligibility Screening in a Pediatric Emergency Department. AMIA 2014 - 2013
- [c8]Haijun Zhai, Patrick Brady, Qi Li, Todd Lingren, Yizhao Ni, Derek S. Wheeler, Imre Solti:
Predicting the Need for Pediatric Intensive Care Unit (PICU) Transfer for Newly Hospitalized Children with Machine Learning. AMIA 2013 - 2012
- [c7]Yizhao Ni, Matt McVicar, Raúl Santos-Rodriguez, Tijl De Bie:
Using Hyper-genre Training to Explore Genre Information for Automatic Chord Estimation. ISMIR 2012: 109-114 - 2011
- [c6]Matt McVicar, Yizhao Ni, Tijl De Bie, Raúl Santos-Rodriguez:
Leveraging Noisy Online Databases for Use in Chord Recognition. ISMIR 2011: 639-644 - 2010
- [c5]Yizhao Ni, Mahesan Niranjan:
Exploiting Long-Range Dependencies in Protein beta-Sheet Secondary Structure Prediction. PRIB 2010: 349-357 - [c4]Sándor Szedmák, Yizhao Ni, Steve R. Gunn:
Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables. WAPA 2010: 96-102 - 2009
- [c3]Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan:
Handling phrase reorderings for machine translation. ACL/IJCNLP (2) 2009: 241-244 - [c2]Sándor Szedmák, Esther Galbrun, Craig Saunders, Yizhao Ni:
Large scale maximum margin regression based, structural learning approach to phrase translations. SMART@EAMT 2009 - 2008
- [c1]Yizhao Ni, Carlton Chu, Craig Saunders, John Ashburner:
Kernel methods for fMRI pattern prediction. IJCNN 2008: 692-697
Informal and Other Publications
- 2011
- [i2]Yizhao Ni, Matt McVicar, Raúl Santos-Rodriguez, Tijl De Bie:
An end-to-end machine learning system for harmonic analysis of music. CoRR abs/1107.4969 (2011) - [i1]Yizhao Ni, Matt McVicar, Raúl Santos-Rodriguez, Tijl De Bie:
Meta-song evaluation for chord recognition. CoRR abs/1109.0420 (2011)
Coauthor Index
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