Yizhao Ni
Orcid: 0000-0001-8599-454X
According to our database1,
Yizhao Ni
authored at least 50 papers
between 2008 and 2022.
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Bibliography
2022
Leveraging Automated Search Relevance Evaluation to Improve System Deployment: A Case Study in Healthcare.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the AMIA 2022, 2022
2021
Quantitative disease risk scores from EHR with applications to clinical risk stratification and genetic studies.
npj Digit. Medicine, 2021
Automated detection of substance use information from electronic health records for a pediatric population.
J. Am. Medical Informatics Assoc., 2021
DeepImmuno: deep learning-empowered prediction and generation of immunogenic peptides for T-cell immunity.
Briefings Bioinform., 2021
Machine Learning for Detection of Correct Peripherally Inserted Central Catheter Tip Position from Radiology Reports in Infants.
Appl. Clin. Inform., 2021
User-Centered Evaluation of a Visual Annotation Tool for Rapid Assessment of Pediatric Weight Entry Errors.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021
Developing an Automated Recipient Risk Prediction Tool for Life-long Mortality After Pediatric Heart Transplantation.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Development and Evaluation of an Automated Approach to Detect Weight Abnormalities in Pediatric Weight Charts.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Finding warning markers: Leveraging natural language processing and machine learning technologies to detect risk of school violence.
Int. J. Medical Informatics, 2020
Machine Learning to Identify Peripherally Inserted Central Catheter (PICC) Tip Position from Radiology Reports.
Proceedings of the AMIA 2020, 2020
2019
Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery.
Int. J. Medical Informatics, 2019
Development and Preliminary Evaluation of a Visual Annotation Tool to Rapidly Collect Expert-Annotated Weight Errors in Pediatric Growth Charts.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Development and Evaluation of a Machine Learning-based Approach to Detect Errors in Pediatric Weight Data.
Proceedings of the AMIA 2019, 2019
Proceedings of the AMIA 2019, 2019
2018
Designing and evaluating an automated system for real-time medication administration error detection in a neonatal intensive care unit.
J. Am. Medical Informatics Assoc., 2018
A Comparison of Existing Methods to Detect Weight Data Errors in a Pediatric Academic Medical Center.
Proceedings of the AMIA 2018, 2018
Proceedings of the AMIA 2018, 2018
Evaluating the Effectiveness of a Real-Time Automated Patient Screening System in an Emergency Department via Time-and-Motion Methodology.
Proceedings of the AMIA 2018, 2018
2017
Integrating Smart Pump Infusion Data with Electronic Health Record Data to Analyze Medication Administration Alerts.
Proceedings of the AMIA 2017, 2017
2016
Will they participate? Predicting patients' response to clinical trial invitations in a pediatric emergency department.
J. Am. Medical Informatics Assoc., 2016
Developing an Algorithm to Detect Early Childhood Obesity in Two Tertiary Pediatric Medical Centers.
Appl. Clin. Inform., 2016
Towards Phenotyping Stroke: Leveraging Electronic Health Record Data to Identify Stroke Cases in a Large-scale Epidemiological Study.
Proceedings of the AMIA 2016, 2016
2015
Increasing the efficiency of trial-patient matching: automated clinical trial eligibility Pre-screening for pediatric oncology patients.
BMC Medical Informatics Decis. Mak., 2015
BMC Medical Informatics Decis. Mak., 2015
J. Biomed. Informatics, 2015
Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department.
J. Am. Medical Informatics Assoc., 2015
Desiderata for computable representations of electronic health records-driven phenotype algorithms.
J. Am. Medical Informatics Assoc., 2015
Proceedings of the AMIA 2015, 2015
2014
IEEE ACM Trans. Audio Speech Lang. Process., 2014
Preparing an annotated gold standard corpus to share with extramural investigators for de-identification research.
J. Biomed. Informatics, 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.
J. Am. Medical Informatics Assoc., 2014
A Time-and-motion Study of Clinical Trial Eligibility Screening in a Pediatric Emergency Department.
Proceedings of the AMIA 2014, 2014
Automated Clinical Trial Eligibility Pre-Screening: Increasing the Efficiency of Participant Identification for Clinical Trials.
Proceedings of the AMIA 2014, 2014
Detecting Epilepsy Diagnosis in Clinical Notes: A Comparison of Traditional Text Classification Methods.
Proceedings of the AMIA 2014, 2014
2013
IEEE ACM Trans. Audio Speech Lang. Process., 2013
Predicting the Need for Pediatric Intensive Care Unit (PICU) Transfer for Newly Hospitalized Children with Machine Learning.
Proceedings of the AMIA 2013, 2013
2012
IEEE Trans. Speech Audio Process., 2012
Using Hyper-genre Training to Explore Genre Information for Automatic Chord Estimation.
Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012
2011
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation.
J. Mach. Learn. Res., 2011
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011
2010
Mach. Transl., 2010
Proceedings of the First Workshop on Applications of Pattern Analysis, 2010
Exploiting Long-Range Dependencies in Protein <i>beta</i>-Sheet Secondary Structure Prediction.
Proceedings of the Pattern Recognition in Bioinformatics, 2010
2009
Large scale maximum margin regression based, structural learning approach to phrase translations.
Proceedings of the Workshop on Statistical Multilingual Analysis for Retrieval and Translation, 2009
Proceedings of the ACL 2009, 2009
2008
Proceedings of the International Joint Conference on Neural Networks, 2008