Yizhao Ni

John Ashburner, Craig Saunders, Yizhao Ni, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Finding warning markers: Leveraging natural language processing and machine learning technologies to detect risk of school violence

Yizhao Ni, Drew Barzman, Alycia Bachtel, 2020, Int. J. Medical Informatics.

the workshop on Application of Pattern Recognition, Cumberland Lodge, U.K

Yizhao Ni, S Szedmak, S. R Gunn, 2010 .

Finding Warning Markers: Automated Risk Assessment for School Violence

Yizhao Ni, Kenneth Lin, Drew Barzman, 2018, AMIA.

Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery

Yizhao Ni, Nanhua Zhang, Lei Liu, 2019, Int. J. Medical Informatics.

A Time-and-Motion Study of Clinical Trial Eligibility Screening in a Pediatric Emergency Department

Judith W. Dexheimer, Yizhao Ni, Imre Solti, 2018, Pediatric emergency care.

Development and Preliminary Evaluation of a Visual Annotation Tool to Rapidly Collect Expert-Annotated Weight Errors in Pediatric Growth Charts

Lei Liu, Yizhao Ni, Stephen Andrew Spooner, 2019, MedInfo.

Preparing an annotated gold standard corpus to share with extramural investigators for de-identification research

Keith Marsolo, Louise Deléger, Michal Kouril, 2014, J. Biomed. Informatics.

Data Challenges With Real-Time Safety Event Detection And Clinical Decision Support

Eric S. Kirkendall, Yizhao Ni, Todd Lingren, 2019, Journal of medical Internet research.

Integrating and Evaluating the Data Quality and Utility of Smart Pump Information in Detecting Medication Administration Errors: Evaluation Study

Yizhao Ni, Todd Lingren, Eric Kirkendall, 2020, JMIR medical informatics.

Meta-song evaluation for chord recognition pdf

Tijl De Bie, Yizhao Ni, Matt McVicar, 2011, ArXiv.

Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables

Steve R. Gunn, Sándor Szedmák, Yizhao Ni, 2010, WAPA.

Automated detection of substance use information from electronic health records for a pediatric population

Yizhao Ni, Sarah Beal, Alycia Bachtel, 2021, J. Am. Medical Informatics Assoc..

Seasonality, mediation and comparison (SMAC) methods to identify influences on lung function decline

Ruth H. Keogh, Eleni-Rosalina Andrinopoulou, Yizhao Ni, 2021, MethodsX.

Developing and evaluating a machine learning based algorithm to predict the need of pediatric intensive care unit transfer for newly hospitalized children.

Yizhao Ni, Todd Lingren, Haijun Zhai, 2014, Resuscitation.

A Real-Time Automated Patient Screening System for Clinical Trials Eligibility in an Emergency Department: Design and Evaluation

Judith W. Dexheimer, Yizhao Ni, Stephanie Kennebeck, 2019, JMIR medical informatics.

Towards phenotyping stroke: Leveraging data from a large-scale epidemiological study to detect stroke diagnosis

Yizhao Ni, Daniel Woo, Kathleen Alwell, 2018, PloS one.

Using Health Information Technology to Improve Safety in Neonatal Care: A Systematic Review of the Literature.

Yizhao Ni, Yizhao Ni, K. Melton, 2017, Clinics in perinatology.

Electronic Health Record Based Algorithm to Identify Patients with Autism Spectrum Disorder

Finale Doshi-Velez, Pei Chen, Joseph Bochenek, 2016, PloS one.