Yizhao Ni

发表

Developing an Algorithm to Detect Early Childhood Obesity in Two Tertiary Pediatric Medical Centers

Jonathan P. Bickel, Marc S. Williams, I. Kohane, 2016, Applied Clinical Informatics.

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

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

Leveraging Food and Drug Administration Adverse Event Reports for the Automated Monitoring of Electronic Health Records in a Pediatric Hospital

I. Solti, Yizhao Ni, T. Lingren, 2017, Biomedical informatics insights.

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

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

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.

Evaluating the Effectiveness of a Real-Time Automated Patient Screening System in an Emergency Department via Time-and-Motion Methodology

Judith W. Dexheimer, Yizhao Ni, Monica Bermudez, 2018, AMIA.

Will they participate? Predicting patients’ response to clinical trial invitations in a pediatric emergency department

Judith W. Dexheimer, Yizhao Ni, Imre Solti, 2016, AMIA.

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.

Designing and Evaluating a Real-Time Automated Patient Screening System in an Emergency Department

Judith W. Dexheimer, S. Kennebeck, Yizhao Ni, 2019 .

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

Yizhao Ni, T. Lingren, K. Melton, 2018 .

DeepImmuno: Deep learning-empowered prediction and generation of immunogenic peptides for T cell immunity

N. Salomonis, Yizhao Ni, Guangyuan Li, 2020, bioRxiv.

Automated Risk Assessment for School Violence: a Pilot Study

M. DelBello, Yizhao Ni, M. Sorter, 2018, Psychiatric Quarterly.

A Pilot Study on Developing a Standardized and Sensitive School Violence Risk Assessment with Manual Annotation

Edward J. Latessa, Yizhao Ni, M. Sorter, 2017, Psychiatric Quarterly.

The Generalizability of a Medication Administration Discrepancy Detection System: Quantitative Comparative Analysis

Yizhao Ni, K. Melton, E. Kirkendall, 2020, JMIR medical informatics.

The Generalizability of a Medication Administration Discrepancy Detection System: Quantitative Comparative Analysis (Preprint)

Yizhao Ni, K. Melton, E. Kirkendall, 2020 .

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

Yizhao Ni, M. Sorter, M. Griffey, 2019, Int. J. Medical Informatics.

Gross motor function prediction using natural language processing in cerebral palsy

B. Aronow, Yizhao Ni, Alexis Mitelpunkt, 2022, Developmental medicine and child neurology.

Towards Phenotyping Stroke: Leveraging Electronic Health Record Data to Identify Stroke Cases in a Large-scale Epidemiological Study

Yizhao Ni, Brett M. Kissela, Daniel Woo, 2016, AMIA.

Development and Evaluation of an Automated Approach to Detect Weight Abnormalities in Pediatric Weight Charts.

Danny T. Y. Wu, Yizhao Ni, S. A. Spooner, 2021, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Implementation of Machine Learning Pipelines for Clinical Practice: Development and Validation Study

Lara J. Kanbar, Benjamin D. Wissel, Yizhao Ni, 2022, JMIR medical informatics.

Using deep learning and electronic health records to detect Noonan syndrome in pediatric patients.

Yizhao Ni, Ge Zhang, Jing Chen, 2022, Genetics in medicine : official journal of the American College of Medical Genetics.

Machine Learning for Detection of Correct Peripherally Inserted Central Catheter Tip Position from Radiology Reports in Infants

Yizhao Ni, A. Schapiro, M. Shah, 2021, Applied Clinical Informatics.

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.

The Effect of Inversion at 8p23 on BLK Association with Lupus in Caucasian Population

P. Gaffney, I. Chepelev, B. Namjou, 2014, PloS one.

Harmonizing Clinical Sequencing and Interpretation for the eMERGE III Network.

Robert C. Green, Keith Marsolo, Casey Overby Taylor, 2019, American journal of human genetics.

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..

Quantitative disease risk scores from EHR with applications to clinical risk stratification and genetic studies

S. Murphy, I. Ionita-Laza, I. Kullo, 2021, npj Digital Medicine.

Automated detection of medication administration errors in neonatal intensive care

Eric S. Kirkendall, Yizhao Ni, Todd Lingren, 2015, J. Biomed. Informatics.

DeepImmuno: deep learning-empowered prediction and generation of immunogenic peptides for T-cell immunity

N. Salomonis, Yizhao Ni, Guangyuan Li, 2021, Briefings in bioinformatics.

Influences of environmental exposures on individuals living with cystic fibrosis

E. Andrinopoulou, R. Szczesniak, R. Keogh, 2020, Expert review of respiratory medicine.

Comparison of Various Machine Learning Models to Identify Peripherally Inserted Central Catheter (PICC) Tip Position from Radiology Reports

Yizhao Ni, S. Prasath, A. Schapiro, 2021, Council on Clinical Information Technology Program.

Seasonal variation of lung function in cystic fibrosis: longitudinal modeling to compare a Midwest US cohort to international populations.

E. Andrinopoulou, R. Szczesniak, R. Keogh, 2021, The Science of the total environment.

Desiderata for computable representations of electronic health records-driven phenotype algorithms

Paul A. Harris, Gerard Tromp, Jie Xu, 2015, J. Am. Medical Informatics Assoc..

Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care

Eric S. Kirkendall, Yizhao Ni, Todd Lingren, 2014, Journal of the American Medical Informatics Association : JAMIA.

Natural Language Processing – Overview and History

Kevin Bretonnel Cohen, Judith W. Dexheimer, John Pestian, 2016 .

Understanding Pediatric Surgery Cancellation: Geospatial Analysis

J. Pratap, Yizhao Ni, C. Brokamp, 2021, Journal of medical Internet research.

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.

Designing and evaluating an automated system for real-time medication administration error detection in a neonatal intensive care unit

Eric S. Kirkendall, Yizhao Ni, Todd Lingren, 2018, AMIA.

Built environment factors predictive of early rapid lung function decline in cystic fibrosis

E. Andrinopoulou, R. Szczesniak, R. Keogh, 2023, Pediatric pulmonology.

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.

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

Yizhao Ni, T. Lingren, Kristen Timmons, 2020 .

An end-to-end hybrid algorithm for automated medication discrepancy detection

Yizhao Ni, Todd Lingren, Megan Kaiser, 2015, BMC Medical Informatics and Decision Making.

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

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

Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE network

Agnes S. Sundaresan, Justin H. Gundelach, Nephi A. Walton, 2023, Scientific Reports.

Natural Language Processing: Applications in Pediatric Research

Judith W. Dexheimer, John Pestian, Timothy A. Miller, 2016 .

External validation and comparison of risk score models in pediatric heart transplants

Yizhao Ni, Bin Huang, A. Dani, 2021, Pediatric transplantation.

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.

Increasing the efficiency of trial-patient matching: automated clinical trial eligibility Pre-screening for pediatric oncology patients

Louise Deléger, Isaac S. Kohane, Yizhao Ni, 2015, BMC Medical Informatics and Decision Making.

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.

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.

Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department

Judith W. Dexheimer, Yizhao Ni, Todd Lingren, 2014, J. Am. Medical Informatics Assoc..

Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care

I. Solti, Yizhao Ni, T. Lingren, 2014, J. Am. Medical Informatics Assoc..