Yizhao Ni

ORCID

Publication Activity (10 Years)

Years Active: 2008-2022
Publications (10 Years): 30

Top Venues

AMIA

J. Am. Medical Informatics Assoc.

BMC Medical Informatics Decis. Mak.

MedInfo

University of Southampton, UK (PHD)

Education History

University of Southampton, UK

PHD

Publications

Yizhao Ni, Ferosh Jacob, Priya Gopi Achuthan, Hui Wu, Faizan Javed
Automated Evaluation of the Search Relevance Capability for Kp.org. AMIA (2022)
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)
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)
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) (2021)
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) (2021)
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)
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)
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)
Danqing Xu, Chen Wang, Atlas Khan, Ning Shang, Zihuai He, Adam 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)
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 (2020)
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)
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)
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)
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)
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 (2019)
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)
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)
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) (2018)
Yizhao Ni, Drew Barzman, Alycia Bachtel, Marcus Griffey, Kenneth Lin, Michael Sorter
Finding Warning Markers: Automated Risk Assessment for School Violence. AMIA (2018)
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)
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)
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)
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) (2016)
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 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. 7 (03) (2016)
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 (2015)
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) (2015)
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 (2015)
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) (2015)
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)
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 (2015)
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)
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) (2014)
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) (2014)
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)
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 (2014)
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)
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) (2013)
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)
Yizhao Ni, Matt McVicar, Raúl Santos-Rodriguez, Tijl De Bie
Using Hyper-genre Training to Explore Genre Information for Automatic Chord Estimation. ISMIR (2012)
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) (2012)
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 (2011)
Matt McVicar, Yizhao Ni, Tijl De Bie, Raúl Santos-Rodriguez
Leveraging Noisy Online Databases for Use in Chord Recognition. ISMIR (2011)
Yizhao Ni, Matt McVicar, Raúl Santos-Rodriguez, Tijl De Bie
An end-to-end machine learning system for harmonic analysis of music CoRR (2011)
Carlton Chu, Yizhao Ni, Geoffrey C. Y. Tan, Craig Saunders, John Ashburner
Kernel regression for fMRI pattern prediction. NeuroImage 56 (2) (2011)
Yizhao Ni, Matt McVicar, Raúl Santos-Rodriguez, Tijl De Bie
Meta-song evaluation for chord recognition CoRR (2011)
Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan
The application of structured learning in natural language processing. Mach. Transl. 24 (2) (2010)
Sándor Szedmák, Yizhao Ni, Steve R. Gunn
Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables. WAPA (2010)
Yizhao Ni, Mahesan Niranjan
-Sheet Secondary Structure Prediction. PRIB (2010)
Sándor Szedmák, Esther Galbrun, Craig Saunders, Yizhao Ni
Large scale maximum margin regression based, structural learning approach to phrase translations. SMART@EAMT (2009)
Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan
Handling phrase reorderings for machine translation. ACL/IJCNLP (2) (2009)
Yizhao Ni, Carlton Chu, Craig Saunders, John Ashburner
Kernel methods for fMRI pattern prediction. IJCNN (2008)

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Publication Activity (10 Years)

Top Topics

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Yizhao Ni