Kernel methods for fMRI pattern prediction. - Yizhao Ni; Carlton Chu; Craig Saunders; John Ashburner (IJCNN, 2008)

Handling phrase reorderings for machine translation. - Yizhao Ni; Craig Saunders; Sándor Szedmák; Mahesan Niranjan (ACL/IJCNLP (2), 2009)

Large scale maximum margin regression based, structural learning approach to phrase translations. - Sándor Szedmák; Esther Galbrun; Craig Saunders; Yizhao Ni (SMART@EAMT, 2009)

Exploiting Long-Range Dependencies in Protein beta-Sheet Secondary Structure Prediction. - Yizhao Ni; Mahesan Niranjan (PRIB, 2010)

Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables. - Sándor Szedmák; Yizhao Ni; Steve R. Gunn (WAPA, 2010)

The application of structured learning in natural language processing. - Yizhao Ni; Craig Saunders; Sándor Szedmák; Mahesan Niranjan (Mach. Transl., 2010)

Beyond multi-class : structured learning for machine translation. - Yizhao Ni (2010)

Leveraging Noisy Online Databases for Use in Chord Recognition. - Matt McVicar; Yizhao Ni; Tijl De Bie; Raúl Santos-Rodriguez (ISMIR, 2011)

Meta-song evaluation for chord recognition - Yizhao Ni; Matt McVicar; Raúl Santos-Rodriguez; Tijl De Bie (CoRR, 2011)

Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation. - Yizhao Ni; Craig Saunders; Sándor Szedmák; Mahesan Niranjan (J. Mach. Learn. Res., 2011)

Kernel regression for fMRI pattern prediction. - Carlton Chu; Yizhao Ni; Geoffrey C. Y. Tan; Craig Saunders; John Ashburner (NeuroImage, 2011)

Using Hyper-genre Training to Explore Genre Information for Automatic Chord Estimation. - Yizhao Ni; Matt McVicar; Raúl Santos-Rodriguez; Tijl De Bie (ISMIR, 2012)

An End-to-End Machine Learning System for Harmonic Analysis of Music. - Yizhao Ni; Matt McVicar; Raúl Santos-Rodriguez; Tijl De Bie (IEEE Trans. Speech Audio Process., 2012)

Predicting the Need for Pediatric Intensive Care Unit (PICU) Transfer for Newly Hospitalized Children with Machine Learning. - Haijun Zhai; Patrick Brady; Qi Li 004; Todd Lingren; Yizhao Ni; Derek S. Wheeler; Imre Solti (AMIA, 2013)

Understanding Effects of Subjectivity in Measuring Chord Estimation Accuracy. - Yizhao Ni; Matt McVicar; Raúl Santos-Rodríguez; Tijl De Bie (IEEE ACM Trans. Audio Speech Lang. Process., 2013)

Detecting Epilepsy Diagnosis in Clinical Notes: A Comparison of Traditional Text Classification Methods. - Todd Lingren; Pawel Matykiewicz; Yizhao Ni; Shannon M. Standridge; Katherine D. Holland; Imre Solti; Tracy A. Glauser; John Pestian (AMIA, 2014)

Automated Clinical Trial Eligibility Pre-Screening: Increasing the Efficiency of Participant Identification for Clinical Trials. - Yizhao Ni; Stephanie Kennebeck; Constance M. McAneney; Judith W. Dexheimer; Todd Lingren; Qi Li 004; Haijun Zhai; Imre Solti (AMIA, 2014)

A Time-and-motion Study of Clinical Trial Eligibility Screening in a Pediatric Emergency Department. - Huaxiu Tang; Melanie Hounchell; Judith W. Dexheimer; Stephanie Kennebeck; Imre Solti; Yizhao Ni (AMIA, 2014)

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. - Qi Li 004; Kristin Melton; Todd Lingren; Eric S. Kirkendall; Eric S. Hall; Haijun Zhai; Yizhao Ni; Megan Kaiser; Laura Stoutenborough; Imre Solti (J. Am. Medical Informatics Assoc., 2014)

Preparing an annotated gold standard corpus to share with extramural investigators for de-identification research. - Louise Deléger; Todd Lingren; Yizhao Ni; Megan Kaiser; Laura Stoutenborough; Keith Marsolo; Michal Kouril; Katalin Molnár; Imre Solti (J. Biomed. Informatics, 2014)

Automatic Chord Estimation from Audio: A Review of the State of the Art. - Matt McVicar; Raúl Santos-Rodriguez; Yizhao Ni; Tijl De Bie (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

Will they participate? Predicting patients' response to clinical trial invitations. - Yizhao Ni; Andrew F. Beck; Regina Taylor; Jenna Dyas; Imre Solti; Judith W. Dexheimer (AMIA, 2015)

Desiderata for computable representations of electronic health records-driven phenotype algorithms. - Huan Mo; William K. Thompson; Luke V. Rasmussen; Jennifer A. Pacheco; Guoqian Jiang; Richard C. Kiefer; Qian Zhu 003; Jie Xu 011; Enid N. H. Montague; David S. Carrell; Todd Lingren; Frank D. Mentch; et al. (J. Am. Medical Informatics Assoc., 2015)

Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department. - Yizhao Ni; Stephanie Kennebeck; Judith W. Dexheimer; Constance M. McAneney; Huaxiu Tang; Todd Lingren; Qi Li 004; Haijun Zhai; Imre Solti (J. Am. Medical Informatics Assoc., 2015)

Automated detection of medication administration errors in neonatal intensive care. - Qi Li 004; Eric S. Kirkendall; Eric S. Hall; Yizhao Ni; Todd Lingren; Megan Kaiser; Nataline Lingren; Haijun Zhai; Imre Solti; Kristin Melton (J. Biomed. Informatics, 2015)

An end-to-end hybrid algorithm for automated medication discrepancy detection. - Qi Li 004; Stephen Andrew Spooner; Megan Kaiser; Nataline Lingren; Jessica Robbins; Todd Lingren; Huaxiu Tang; Imre Solti; Yizhao Ni (BMC Medical Informatics Decis. Mak., 2015)

Increasing the efficiency of trial-patient matching: automated clinical trial eligibility Pre-screening for pediatric oncology patients. - Yizhao Ni; Jordan Wright; John Perentesis; Todd Lingren; Louise Deléger; Megan Kaiser; Isaac S. Kohane; Imre Solti (BMC Medical Informatics Decis. Mak., 2015)

Towards Phenotyping Stroke: Leveraging Electronic Health Record Data to Identify Stroke Cases in a Large-scale Epidemiological Study. - 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; et al. (AMIA, 2016)

Developing an Algorithm to Detect Early Childhood Obesity in Two Tertiary Pediatric Medical Centers. - 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; et al. (Appl. Clin. Inform., 2016)

Will they participate? Predicting patients' response to clinical trial invitations in a pediatric emergency department. - Yizhao Ni; Andrew F. Beck; Regina Taylor; Jenna Dyas; Imre Solti; Jacqueline Grupp-Phelan; Judith W. Dexheimer (J. Am. Medical Informatics Assoc., 2016)

Integrating Smart Pump Infusion Data with Electronic Health Record Data to Analyze Medication Administration Alerts. - Todd Lingren; Yizhao Ni; Eric S. Hall; Matthew Leonard; Eric S. Kirkendall; Kristin Melton (AMIA, 2017)

Evaluating the Effectiveness of a Real-Time Automated Patient Screening System in an Emergency Department via Time-and-Motion Methodology. - Judith W. Dexheimer; Monica Bermudez; Stephanie Kennebeck; Stacey Liddy-Hicks; Yizhao Ni (AMIA, 2018)

Finding Warning Markers: Automated Risk Assessment for School Violence. - Yizhao Ni; Drew Barzman; Alycia Bachtel; Marcus Griffey; Kenneth Lin; Michael Sorter (AMIA, 2018)

A Comparison of Existing Methods to Detect Weight Data Errors in a Pediatric Academic Medical Center. - Danny T. Wu; Karthikayan Meganathan; Matthew Newcomb; Yizhao Ni; Judith W. Dexheimer; Eric S. Kirkendall; Stephen Andrew Spooner (AMIA, 2018)

Designing and evaluating an automated system for real-time medication administration error detection in a neonatal intensive care unit. - Yizhao Ni; Todd Lingren; Eric S. Hall; Matthew Leonard; Kristin Melton; Eric S. Kirkendall (J. Am. Medical Informatics Assoc., 2018)

Evaluating a Visual Annotation Tool on Pediatric Weight Charts. - P. J. Van Camp; Lei Liu 033; Cecilia Mahdi; Stephen Andrew Spooner; Yizhao Ni; Danny T. Wu (AMIA, 2019)

Development and Evaluation of a Machine Learning-based Approach to Detect Errors in Pediatric Weight Data. - Lei Liu 033; P. J. Van Camp; C. Monifa Mahdi; Stephen Andrew Spooner; Danny T. Y. Wu; Yizhao Ni (AMIA, 2019)

Development and Preliminary Evaluation of a Visual Annotation Tool to Rapidly Collect Expert-Annotated Weight Errors in Pediatric Growth Charts. - P. J. Van Camp; C. Monifa Mahdi; Lei Liu 033; Yizhao Ni; Stephen Andrew Spooner; Danny T. Y. Wu (MedInfo, 2019)

Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery. - Lei Liu 033; Yizhao Ni; Nanhua Zhang; J. Nick Pratap (Int. J. Medical Informatics, 2019)

Machine Learning to Identify Peripherally Inserted Central Catheter (PICC) Tip Position from Radiology Reports. - Manan Shah; Derek Shu; V. B. Surya Prasath; Yizhao Ni; Andrew Schapiro; Kevin R. Dufendach (AMIA, 2020)

Finding warning markers: Leveraging natural language processing and machine learning technologies to detect risk of school violence. - Yizhao Ni; Drew Barzman; Alycia Bachtel; Marcus Griffey; Alexander Osborn; Michael Sorter (Int. J. Medical Informatics, 2020)

Development and Evaluation of an Automated Approach to Detect Weight Abnormalities in Pediatric Weight Charts. - Lei Liu 033; Danny T. Wu; Stephen Andrew Spooner; Yizhao Ni (AMIA, 2021)

Developing an Automated Recipient Risk Prediction Tool for Life-long Mortality After Pediatric Heart Transplantation. - Yizhao Ni; Farhan Zafar; Alia Dani; David Morales; Lara J. Kanbar (AMIA, 2021)

User-Centered Evaluation of a Visual Annotation Tool for Rapid Assessment of Pediatric Weight Entry Errors. - Danny T. Y. Wu; P. J. Van Camp; Abraham Kim; Milan N. Parikh; Lei Liu 033; C. Monifa Mahdi; Yizhao Ni; Stephen Andrew Spooner (MedInfo, 2021)

Machine Learning for Detection of Correct Peripherally Inserted Central Catheter Tip Position from Radiology Reports in Infants. - Manan Shah; Derek Shu; V. B. Surya Prasath; Yizhao Ni; Andrew Schapiro; Kevin R. Dufendach (Appl. Clin. Inform., 2021)

DeepImmuno: deep learning-empowered prediction and generation of immunogenic peptides for T-cell immunity. - Guangyuan Li; Balaji Iyer; V. B. Surya Prasath; Yizhao Ni; Nathan Salomonis (Briefings Bioinform., 2021)

Automated detection of substance use information from electronic health records for a pediatric population. - Yizhao Ni; Alycia Bachtel; Katie Nause; Sarah J. Beal (J. Am. Medical Informatics Assoc., 2021)

Quantitative disease risk scores from EHR with applications to clinical risk stratification and genetic studies. - Danqing Xu; Chen Wang 146; Atlas Khan; Ning Shang; Zihuai He; Adam S. Gordon; Iftikhar J. Kullo; Shawn N. Murphy; Yizhao Ni; Wei-Qi Wei; Ali Gharavi; Krzysztof Kiryluk; et al. (npj Digit. Medicine, 2021)

Automated Evaluation of the Search Relevance Capability for Kp.org. - Yizhao Ni; Ferosh Jacob; Priya Gopi Achuthan; Hui Wu; Faizan Javed (AMIA, 2022)

Leveraging Automated Search Relevance Evaluation to Improve System Deployment: A Case Study in Healthcare. - Yizhao Ni; Ferosh Jacob; Priya Gopi Achuthan; Hui Wu; Faizan Javed (CIKM, 2022)