Yizhao Ni - RankMe

52 papers A 1B 1Misc 17Journal 24Unranked 8

Year	Rank	Type	Title / Venue / Authors
2022	Misc	`conf`	Automated Evaluation of the Search Relevance Capability for Kp.org. AMIA Yizhao Ni, Ferosh Jacob, Priya Gopi Achuthan, Hui Wu, Faizan Javed
2022	A	`conf`	Leveraging Automated Search Relevance Evaluation to Improve System Deployment: A Case Study in Healthcare. CIKM Yizhao Ni, Ferosh Jacob, Priya Gopi Achuthan, Hui Wu, Faizan Javed
2021	J	`jnl`	Automated detection of substance use information from electronic health records for a pediatric population. J. Am. Medical Informatics Assoc. Yizhao Ni, Alycia Bachtel, Katie Nause, Sarah J. Beal
2021	J	`jnl`	DeepImmuno: deep learning-empowered prediction and generation of immunogenic peptides for T-cell immunity. Briefings Bioinform. Guangyuan Li, Balaji Iyer, V. B. Surya Prasath, Yizhao Ni, Nathan Salomonis
2021	Misc	`conf`	Developing an Automated Recipient Risk Prediction Tool for Life-long Mortality After Pediatric Heart Transplantation. AMIA Yizhao Ni, Farhan Zafar, Alia Dani, David Morales, Lara J. Kanbar
2021	Misc	`conf`	Development and Evaluation of an Automated Approach to Detect Weight Abnormalities in Pediatric Weight Charts. AMIA Lei Liu, Danny T. Wu, Stephen Andrew Spooner, Yizhao Ni
2021	J	`jnl`	Machine Learning for Detection of Correct Peripherally Inserted Central Catheter Tip Position from Radiology Reports in Infants. Appl. Clin. Inform. Manan Shah, Derek Shu, V. B. Surya Prasath, Yizhao Ni, Andrew Schapiro, Kevin R. Dufendach
2021	J	`jnl`	Quantitative disease risk scores from EHR with applications to clinical risk stratification and genetic studies. npj Digit. Medicine 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
2021	—	`conf`	User-Centered Evaluation of a Visual Annotation Tool for Rapid Assessment of Pediatric Weight Entry Errors. MedInfo Danny T. Y. Wu, P. J. Van Camp, Abraham Kim, Milan N. Parikh, Lei Liu, C. Monifa Mahdi, Yizhao Ni, Stephen Andrew Spooner
2020	J	`jnl`	Finding warning markers: Leveraging natural language processing and machine learning technologies to detect risk of school violence. Int. J. Medical Informatics Yizhao Ni, Drew Barzman, Alycia Bachtel, Marcus Griffey, Alexander Osborn, Michael Sorter
2020	Misc	`conf`	Machine Learning to Identify Peripherally Inserted Central Catheter (PICC) Tip Position from Radiology Reports. AMIA Manan Shah, Derek Shu, V. B. Surya Prasath, Yizhao Ni, Andrew Schapiro, Kevin R. Dufendach
2019	Misc	`conf`	Development and Evaluation of a Machine Learning-based Approach to Detect Errors in Pediatric Weight Data. AMIA Lei Liu, P. J. Van Camp, C. Monifa Mahdi, Stephen Andrew Spooner, Danny T. Y. Wu, Yizhao Ni
2019	—	`conf`	Development and Preliminary Evaluation of a Visual Annotation Tool to Rapidly Collect Expert-Annotated Weight Errors in Pediatric Growth Charts. MedInfo P. J. Van Camp, C. Monifa Mahdi, Lei Liu, Yizhao Ni, Stephen Andrew Spooner, Danny T. Y. Wu
2019	Misc	`conf`	Evaluating a Visual Annotation Tool on Pediatric Weight Charts. AMIA P. J. Van Camp, Lei Liu, Cecilia Mahdi, Stephen Andrew Spooner, Yizhao Ni, Danny T. Wu
2019	J	`jnl`	Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery. Int. J. Medical Informatics Lei Liu, Yizhao Ni, Nanhua Zhang, J. Nick Pratap
2018	Misc	`conf`	A Comparison of Existing Methods to Detect Weight Data Errors in a Pediatric Academic Medical Center. AMIA Danny T. Wu, Karthikayan Meganathan, Matthew Newcomb, Yizhao Ni, Judith W. Dexheimer, Eric S. Kirkendall, Stephen Andrew Spooner
2018	J	`jnl`	Designing and evaluating an automated system for real-time medication administration error detection in a neonatal intensive care unit. J. Am. Medical Informatics Assoc. Yizhao Ni, Todd Lingren, Eric S. Hall, Matthew Leonard, Kristin Melton, Eric S. Kirkendall
2018	Misc	`conf`	Evaluating the Effectiveness of a Real-Time Automated Patient Screening System in an Emergency Department via Time-and-Motion Methodology. AMIA Judith W. Dexheimer, Monica Bermudez, Stephanie Kennebeck, Stacey Liddy-Hicks, Yizhao Ni
2018	Misc	`conf`	Finding Warning Markers: Automated Risk Assessment for School Violence. AMIA Yizhao Ni, Drew Barzman, Alycia Bachtel, Marcus Griffey, Kenneth Lin, Michael Sorter
2017	Misc	`conf`	Designing and Evaluating an Automated System for Real-time Medication Administration Error Detection in a Neonatal Intensive Care Unit. AMIA Yizhao Ni, Todd Lingren, Eric S. Hall, Matthew Leonard, Kristin Melton, Eric S. Kirkendall
2017	Misc	`conf`	Integrating Smart Pump Infusion Data with Electronic Health Record Data to Analyze Medication Administration Alerts. AMIA Todd Lingren, Yizhao Ni, Eric S. Hall, Matthew Leonard, Eric S. Kirkendall, Kristin Melton
2016	J	`jnl`	Developing an Algorithm to Detect Early Childhood Obesity in Two Tertiary Pediatric Medical Centers. Appl. Clin. Inform. 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
2016	Misc	`conf`	Towards Phenotyping Stroke: Leveraging Electronic Health Record Data to Identify Stroke Cases in a Large-scale Epidemiological Study. AMIA 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
2016	J	`jnl`	Will they participate? Predicting patients' response to clinical trial invitations in a pediatric emergency department. J. Am. Medical Informatics Assoc. Yizhao Ni, Andrew F. Beck, Regina Taylor, Jenna Dyas, Imre Solti, Jacqueline Grupp-Phelan, Judith W. Dexheimer
2015	J	`jnl`	An end-to-end hybrid algorithm for automated medication discrepancy detection. BMC Medical Informatics Decis. Mak. Qi Li, Stephen Andrew Spooner, Megan Kaiser, Nataline Lingren, Jessica Robbins, Todd Lingren, Huaxiu Tang, Imre Solti, Yizhao Ni
2015	J	`jnl`	Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department. J. Am. Medical Informatics Assoc. Yizhao Ni, Stephanie Kennebeck, Judith W. Dexheimer, Constance M. McAneney, Huaxiu Tang, Todd Lingren, Qi Li, Haijun Zhai, Imre Solti
2015	J	`jnl`	Automated detection of medication administration errors in neonatal intensive care. J. Biomed. Informatics Qi Li, Eric S. Kirkendall, Eric S. Hall, Yizhao Ni, Todd Lingren, Megan Kaiser, Nataline Lingren, Haijun Zhai, Imre Solti, Kristin Melton
2015	J	`jnl`	Desiderata for computable representations of electronic health records-driven phenotype algorithms. J. Am. Medical Informatics Assoc. 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
2015	J	`jnl`	Increasing the efficiency of trial-patient matching: automated clinical trial eligibility Pre-screening for pediatric oncology patients. BMC Medical Informatics Decis. Mak. Yizhao Ni, Jordan Wright, John Perentesis, Todd Lingren, Louise Deléger, Megan Kaiser, Isaac S. Kohane, Imre Solti
2015	Misc	`conf`	Will they participate? Predicting patients' response to clinical trial invitations. AMIA Yizhao Ni, Andrew F. Beck, Regina Taylor, Jenna Dyas, Imre Solti, Judith W. Dexheimer
2014	Misc	`conf`	A Time-and-motion Study of Clinical Trial Eligibility Screening in a Pediatric Emergency Department. AMIA Huaxiu Tang, Melanie Hounchell, Judith W. Dexheimer, Stephanie Kennebeck, Imre Solti, Yizhao Ni
2014	Misc	`conf`	Automated Clinical Trial Eligibility Pre-Screening: Increasing the Efficiency of Participant Identification for Clinical Trials. AMIA Yizhao Ni, Stephanie Kennebeck, Constance M. McAneney, Judith W. Dexheimer, Todd Lingren, Qi Li, Haijun Zhai, Imre Solti
2014	J	`jnl`	Automatic Chord Estimation from Audio: A Review of the State of the Art. IEEE ACM Trans. Audio Speech Lang. Process. Matt McVicar, Raúl Santos-Rodriguez, Yizhao Ni, Tijl De Bie
2014	Misc	`conf`	Detecting Epilepsy Diagnosis in Clinical Notes: A Comparison of Traditional Text Classification Methods. AMIA Todd Lingren, Pawel Matykiewicz, Yizhao Ni, Shannon M. Standridge, Katherine D. Holland, Imre Solti, Tracy A. Glauser, John Pestian
2014	J	`jnl`	Preparing an annotated gold standard corpus to share with extramural investigators for de-identification research. J. Biomed. Informatics Louise Deléger, Todd Lingren, Yizhao Ni, Megan Kaiser, Laura Stoutenborough, Keith Marsolo, Michal Kouril, Katalin Molnár, Imre Solti
2014	J	`jnl`	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. Qi Li, Kristin Melton, Todd Lingren, Eric S. Kirkendall, Eric S. Hall, Haijun Zhai, Yizhao Ni, Megan Kaiser, Laura Stoutenborough, Imre Solti
2013	Misc	`conf`	Predicting the Need for Pediatric Intensive Care Unit (PICU) Transfer for Newly Hospitalized Children with Machine Learning. AMIA Haijun Zhai, Patrick Brady, Qi Li, Todd Lingren, Yizhao Ni, Derek S. Wheeler, Imre Solti
2013	J	`jnl`	Understanding Effects of Subjectivity in Measuring Chord Estimation Accuracy. IEEE ACM Trans. Audio Speech Lang. Process. Yizhao Ni, Matt McVicar, Raúl Santos-Rodríguez, Tijl De Bie
2012	J	`jnl`	An End-to-End Machine Learning System for Harmonic Analysis of Music. IEEE Trans. Speech Audio Process. Yizhao Ni, Matt McVicar, Raúl Santos-Rodriguez, Tijl De Bie
2012	—	`conf`	Using Hyper-genre Training to Explore Genre Information for Automatic Chord Estimation. ISMIR Yizhao Ni, Matt McVicar, Raúl Santos-Rodriguez, Tijl De Bie
2011	J	`jnl`	An end-to-end machine learning system for harmonic analysis of music CoRR Yizhao Ni, Matt McVicar, Raúl Santos-Rodriguez, Tijl De Bie
2011	J	`jnl`	Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation. J. Mach. Learn. Res. Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan
2011	J	`jnl`	Kernel regression for fMRI pattern prediction. NeuroImage Carlton Chu, Yizhao Ni, Geoffrey C. Y. Tan, Craig Saunders, John Ashburner
2011	—	`conf`	Leveraging Noisy Online Databases for Use in Chord Recognition. ISMIR Matt McVicar, Yizhao Ni, Tijl De Bie, Raúl Santos-Rodriguez
2011	J	`jnl`	Meta-song evaluation for chord recognition CoRR Yizhao Ni, Matt McVicar, Raúl Santos-Rodriguez, Tijl De Bie
2010	—	`—`	Beyond multi-class : structured learning for machine translation. Yizhao Ni
2010	—	`conf`	Exploiting Long-Range Dependencies in Protein PRIB Yizhao Ni, Mahesan Niranjan
2010	—	`conf`	Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables. WAPA Sándor Szedmák, Yizhao Ni, Steve R. Gunn
2010	J	`jnl`	The application of structured learning in natural language processing. Mach. Transl. Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan
2009	—	`conf`	Handling phrase reorderings for machine translation. ACL/IJCNLP (2) Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan
2009	—	`conf`	Large scale maximum margin regression based, structural learning approach to phrase translations. SMART@EAMT Sándor Szedmák, Esther Galbrun, Craig Saunders, Yizhao Ni
2008	B	`conf`	Kernel methods for fMRI pattern prediction. IJCNN Yizhao Ni, Carlton Chu, Craig Saunders, John Ashburner