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Author Details
Full Name
Yizhao Ni
Affiliation
Cincinnati Children's Hospital Medical Center
ORCID
Career Start Year
2011
Papers
45
H Index
15
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
36737471
Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE network.
Sci Rep
2023
35665923
Gross motor function prediction using natural language processing in cerebral palsy.
Dev Med Child Neurol
2023
36775890
Built environment factors predictive of early rapid lung function decline in cystic fibrosis.
Pediatr Pulmonol
2023
35308946
Development and Evaluation of an Automated Approach to Detect Weight Abnormalities in Pediatric Weight Charts.
AMIA Annu Symp Proc
2022
35673069
User-Centered Evaluation of a Visual Annotation Tool for Rapid Assessment of Pediatric Weight Entry Errors.
Stud Health Technol Inform
2022
36525289
Implementation of Machine Learning Pipelines for Clinical Practice: Development and Validation Study.
JMIR Med Inform
2022
36098741
Using deep learning and electronic health records to detect Noonan syndrome in pediatric patients.
Genet Med
2022
34881481
External validation and comparison of risk score models in pediatric heart transplants.
Pediatr Transplant
2022
34333636
Automated detection of substance use information from electronic health records for a pediatric population.
J Am Med Inform Assoc
2021
35125553
Seasonal variation of lung function in cystic fibrosis: longitudinal modeling to compare a Midwest US cohort to international populations.
Sci Total Environ
2021
34496420
Machine Learning for Detection of Correct Peripherally Inserted Central Catheter Tip Position from Radiology Reports in Infants.
Appl Clin Inform
2021
34434833
Seasonality, mediation and comparison (SMAC) methods to identify influences on lung function decline.
MethodsX
2021
34505837
Understanding Pediatric Surgery Cancellation: Geospatial Analysis.
J Med Internet Res
2021
34302027
Quantitative disease risk scores from EHR with applications to clinical risk stratification and genetic studies.
NPJ Digit Med
2021
34009266
DeepImmuno: deep learning-empowered prediction and generation of immunogenic peptides for T-cell immunity.
Brief Bioinform
2021
32264725
Influences of environmental exposures on individuals living with cystic fibrosis.
Expert Rev Respir Med
2020
33398286
DeepImmuno: Deep learning-empowered prediction and generation of immunogenic peptides for T cell immunity.
bioRxiv
2020
33263548
The Generalizability of a Medication Administration Discrepancy Detection System: Quantitative Comparative Analysis.
JMIR Med Inform
2020
32876578
Integrating and Evaluating the Data Quality and Utility of Smart Pump Information in Detecting Medication Administration Errors: Evaluation Study.
JMIR Med Inform
2020
32361146
Finding warning markers: Leveraging natural language processing and machine learning technologies to detect risk of school violence.
Int J Med Inform
2020
30281551
A Time-and-Motion Study of Clinical Trial Eligibility Screening in a Pediatric Emergency Department.
Pediatr Emerg Care
2019
31438045
Development and Preliminary Evaluation of a Visual Annotation Tool to Rapidly Collect Expert-Annotated Weight Errors in Pediatric Growth Charts.
Stud Health Technol Inform
2019
31342909
A Real-Time Automated Patient Screening System for Clinical Trials Eligibility in an Emergency Department: Design and Evaluation.
JMIR Med Inform
2019
31445261
Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery.
Int J Med Inform
2019
31120022
Data Challenges With Real-Time Safety Event Detection And Clinical Decision Support.
J Med Internet Res
2019
29329456
Designing and evaluating an automated system for real-time medication administration error detection in a neonatal intensive care unit.
J Am Med Inform Assoc
2018
30815152
A Comparison of Existing Methods to Detect Weight Data Errors in a Pediatric Academic Medical Center.
AMIA Annu Symp Proc
2018
29444182
Towards phenotyping stroke: Leveraging data from a large-scale epidemiological study to detect stroke diagnosis.
PLoS One
2018
29713946
Automated Risk Assessment for School Violence: a Pilot Study.
Psychiatr Q
2018
27528455
A Pilot Study on Developing a Standardized and Sensitive School Violence Risk Assessment with Manual Annotation.
Psychiatr Q
2017
28802341
Using Health Information Technology to Improve Safety in Neonatal Care: A Systematic Review of the Literature.
Clin Perinatol
2017
28634427
Leveraging Food and Drug Administration Adverse Event Reports for the Automated Monitoring of Electronic Health Records in a Pediatric Hospital.
Biomed Inform Insights
2017
27472449
Electronic Health Record Based Algorithm to Identify Patients with Autism Spectrum Disorder.
PLoS One
2016
27452794
Developing an Algorithm to Detect Early Childhood Obesity in Two Tertiary Pediatric Medical Centers.
Appl Clin Inform
2016
27121609
Will they participate? Predicting patients' response to clinical trial invitations in a pediatric emergency department.
J Am Med Inform Assoc
2016
25030032
Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department.
J Am Med Inform Assoc
2015
26342218
Desiderata for computable representations of electronic health records-driven phenotype algorithms.
J Am Med Inform Assoc
2015
26190267
Automated detection of medication administration errors in neonatal intensive care.
J Biomed Inform
2015
25881112
Increasing the efficiency of trial-patient matching: automated clinical trial eligibility pre-screening for pediatric oncology patients.
BMC Med Inform Decis Mak
2015
25943550
An end-to-end hybrid algorithm for automated medication discrepancy detection.
BMC Med Inform Decis Mak
2015
24401171
Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care.
J Am Med Inform Assoc
2014
25545785
The effect of inversion at 8p23 on BLK association with lupus in Caucasian population.
PLoS One
2014
24813568
Developing and evaluating a machine learning based algorithm to predict the need of pediatric intensive care unit transfer for newly hospitalized children.
Resuscitation
2014
24556292
Preparing an annotated gold standard corpus to share with extramural investigators for de-identification research.
J Biomed Inform
2014
20348000
Kernel regression for fMRI pattern prediction.
Neuroimage
2011
1 - 45 of 45
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Luke V Rasmussen
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Guergana Savova
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