Filters








14 Hits in 8.4 sec

Assessment of 135 794 Pediatric Patients Tested for Severe Acute Respiratory Syndrome Coronavirus 2 Across the United States

L. Charles Bailey, Hanieh Razzaghi, Evanette K. Burrows, H. Timothy Bunnell, Peter E. F. Camacho, Dimitri A. Christakis, Daniel Eckrich, Melody Kitzmiller, Simon M. Lin, Brianna C. Magnusen, Jason Newland, Nathan M. Pajor (+6 others)
2020 JAMA pediatrics  
In univariate analyses, nonmalignant chronic disease was associated with lower likelihood of testing, and preexisting respiratory conditions were associated with lower risk of positive test results (standardized  ...  Data were from PEDSnet, a network of 7 US pediatric health systems, comprising 6.5 million patients primarily from 11 states. Data analysis was performed from September 8 to 24, 2020.  ...  in networks such as PEDSnet offers opportunities to develop accurate computable phenotypes by integrating multiple factors, but this will require sustained effort.  ... 
doi:10.1001/jamapediatrics.2020.5052 pmid:33226415 pmcid:PMC7684518 fatcat:34hxfxb2ijaqzitl6wf2o6g3di

Validating a computable phenotype for nephrotic syndrome in children and adults using PCORnet® data

Andrea L. Oliverio, Dorota Marchel, Jonathan P. Troost, Isabelle Ayoub, Salem Almaani, Jessica Greco, Cheryl L. Tran, Michelle R. Denburg, Michael Matheny, Chad Dorn, Susan F. Massengill, Hailey Desmond (+2 others)
2021 Kidney360  
A computable phenotype may be powerful in identifying patients with these diseases for research across multiple institutions.  ...  The classification accuracy (sensitivity, specificity, positive and negative predictive value, F1 score) of the computable phenotype was determined.  ...  in pediatric patients utilizing PEDSnet is available, 17 a sensitivity analysis of the computable phenotype classification statistics solely in adults 20 years and older was performed.  ... 
doi:10.34067/kid.0002892021 pmid:35419531 pmcid:PMC8986057 fatcat:c7ssqsjrdjh4nnipslgexttslu

Clinical data for paediatric research: the Swiss approach

Milenko Rakic, Manon Jaboyedoff, Sara Bachmann, Christoph Berger, Manuel Diezi, Philipp do Canto, Christopher B. Forrest, Urs Frey, Oliver Fuchs, Alain Gervaix, Amalia Stefani Gluecksberg, Michael Grotzer (+14 others)
2021 BMC Proceedings  
The project "Harmonising the collection of health-related data and biospecimens in paediatric hospitals throughout Switzerland (SwissPedData)" was an infrastructure development project funded by the SPHN  ...  in healthcare and the generation of necessary evidence to address those needs.  ...  Acknowledgements The authors would like to thank the speakers of the symposium and all the people who helped with the organization and coordination: Katrin Crameri, Alex Leichtle, Katie Harron  ... 
doi:10.1186/s12919-021-00226-3 pmid:34538238 fatcat:kpjbqo56prac3iebkw7fkpwely

Disease associations depend on visit type: results from a visit-wide association study

Mary Regina Boland, Snigdha Alur-Gupta, Lisa Levine, Peter Gabriel, Graciela Gonzalez-Hernandez
2019 BioData Mining  
Some findings were expected (i.e., increase of neoplasm diagnoses among cancer visits), but others were surprising, including an increase in infectious disease conditions among those visiting the Ob/Gyn  ...  In this study, we investigate the role of visit type on disease association results in the first Visit-Wide Association Study or 'VisitWAS'.  ...  Acknowledgements The Clinical Informatics Core at the Institute for Biomedical Informatics, University of Pennsylvania, especially Sunil Thomas and Selah Lynch for helping with extracting the clinical  ... 
doi:10.1186/s13040-019-0203-2 pmid:31338127 pmcid:PMC6625053 fatcat:m6nks6ambncgve3m5lenoavhim

Leveraging a Neural-Symbolic Representation of Biomedical Knowledge to Improve Pediatric Subphenotyping [article]

Tiffany J Callahan, Lawrence E Hunter, Michael G Kahn
2021 Zenodo  
Unfortunately, molecular data are not currently available in most electronic health records (EHRs).  ...  Methods: Med2Mech was evaluated using pediatric EHR data from a subset of rare disease and other similarly medically complex patients. First, patient-level clinical embeddings were generated.  ...  In lieu of access to the wide range of data required to interrogate the full spectrum of phenotypic variance associated with human disease, the next best solution is to develop a proxy (i.e., "a placeholder  ... 
doi:10.5281/zenodo.5746187 fatcat:dldoh64wnfhetmd2g6jphtpemq

Leveraging a Neural-Symbolic Representation of Biomedical Knowledge to Improve Pediatric Subphenotyping [article]

Tiffany J Callahan, Lawrence E Hunter, Michael G Kahn
2021 Zenodo  
Unfortunately, molecular data are not currently available in most electronic health records (EHRs).  ...  Methods: Med2Mech was evaluated using pediatric EHR data from a subset of rare disease and other similarly medically complex patients. First, patient-level clinical embeddings were generated.  ...  In lieu of access to the wide range of data required to interrogate the full spectrum of phenotypic variance associated with human disease, the next best solution is to develop a proxy (i.e., "a placeholder  ... 
doi:10.5281/zenodo.5746174 fatcat:2f3glm27l5bv5frhrjc5pwom2y

Translating Medicine to Mechanism: Enhancing Clinical Phenotypes with Mechanistic Knowledge [article]

Tiffany J Callahan
2021 Zenodo  
Unfortunately, molecular data are not currently available in most electronic health records (EHRs).  ...  Methods: Med2Mech was evaluated using pediatric EHR data from a subset of rare disease and other similarly medically complex patients. First, patient-level clinical embeddings were generated.  ...  In lieu of access to the wide range of data required to interrogate the full spectrum of phenotypic variance associated with human disease, the next best solution is to develop a proxy (i.e., "a placeholder  ... 
doi:10.5281/zenodo.6503192 fatcat:ieeur4b4ybbuvk2i3y3nub7e44

Translating Medicine to Mechanism: Enhancing Clinical Phenotypes with Mechanistic Knowledge [article]

Tiffany J Callahan
2021 Zenodo  
Unfortunately, molecular data are not currently available in most electronic health records (EHRs).  ...  Methods: Med2Mech was evaluated using pediatric EHR data from a subset of rare disease and other similarly medically complex patients. First, patient-level clinical embeddings were generated.  ...  In lieu of access to the wide range of data required to interrogate the full spectrum of phenotypic variance associated with human disease, the next best solution is to develop a proxy (i.e., "a placeholder  ... 
doi:10.5281/zenodo.6503189 fatcat:w23g6vrh4bhjhgo2c6bempy5ym

Transgenic Expression of IL15 Improves Antiglioma Activity of IL13Rα2-CAR T Cells but Results in Antigen Loss Variants

Giedre Krenciute, Brooke L. Prinzing, Zhongzhen Yi, Meng-Fen Wu, Hao Liu, Gianpietro Dotti, Irina V. Balyasnikova, Stephen Gottschalk
2017 Cancer immunology research  
We describe our experience developing a CP for pediatric leukemia and lymphoma from EHRderived data standardized in the PEDSnet Common Data Model to support translation of results across datasets.  ...  COMPUTABLE PHENOTYPE FOR PEDIATRIC LEUKEMIA AND LYMPHOMACharles Phillips, Hanieh Razzaghi, Taylor Aglio, Charles BaileyThe Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States  ...  Our patient displayed symptoms consistent with this phenotype including development of malignancy and extreme chemosenstivity.  ... 
doi:10.1158/2326-6066.cir-16-0376 pmid:28550091 pmcid:PMC5746871 fatcat:pptxshofvjepzoo2f7qgm4zk5y

2020 Pediatric Endocrine Society (PES) Annual Meeting

2020 Hormone Research in Paediatrics  
Therefore, PES is thrilled to bring a portion of the scientific essence of the PES 2020 annual meeting to you through publication of the meeting abstracts online in collaboration with Hormone Research  ...  in Paediatrics.  ...  Poster 172: Lifetime impact of achondroplasia on health-related quality of life (HR-QoL) and healthcare resource use: interim results from a multinational study Wayne Pan, MD PhD MBA, BioMarin Pharmaceutical  ... 
doi:10.1159/000509576 pmid:32604090 fatcat:nhpmnanojnhpxjine7ss7hcmni

Learning deep translational patient representations: systematic integration of clinical records and biomedical knowledge [article]

Tiffany Callahan
2022
Traditional computational phenotypes (CPs) identify patient cohorts without consideration of underlying pathophysiological mechanisms.  ...  First, 36 strategies to align five eMERGE CPs to standard clinical terminologies were examined and revealed lower false negative and positive counts in adults than in pediatric patient populations.  ...  A variety of computational methods have been developed to generate deep phenotypes [151] [152] [153] .  ... 
doi:10.25677/se22-we57 fatcat:sjoxgbfatvdvha7w6kgi2izape

SwissPedData: Standardising hospital records for the benefit of paediatric research

Manon Jaboyedoff, Milenko Rakic, Sara Bachmann, Christoph Berger, Manuel Diezi, Oliver Fuchs, Urs Frey, Alain Gervaix, Amalia Stefani Glücksberg, Michael Grotzer, Ulrich Heininger, Christian R Kahlert (+12 others)
2021
In this project, we aimed to assess the way routine clinical data are currently recorded in large paediatric clinics in Switzerland and to develop a national EHR-based set of common data elements (CDEs  ...  ) that covers all processes of routine paediatric care in hospitals.  ...  Acknowledgments We thank all the experts who participated in the Delphi process, Swis-sPedNet, College A, the Swiss Personalized Health Network (SPHN), and ISPM Bern staff: Alexander Laemmle, Alexander  ... 
doi:10.5167/uzh-212946 fatcat:ylgdu3kjw5dkzcuzvb4pltclmq

SwissPedData: Standardising hospital records for the benefit of paediatric research

Manon Jaboyedoff, Milenko Rakic, Sara Bachmann, Christoph Berger, Manuel Diezi, Oliver Fuchs, Urs Frey, Alain Gervaix, Amalia Stefani Glücksberg, Michael Grotzer, Ulrich Heininger, Christian R Kahlert (+12 others)
2021
In this project, we aimed to assess the way routine clinical data are currently recorded in large paediatric clinics in Switzerland and to develop a national EHR-based set of common data elements (CDEs  ...  ) that covers all processes of routine paediatric care in hospitals.  ...  Acknowledgments We thank all the experts who participated in the Delphi process, Swis-sPedNet, College A, the Swiss Personalized Health Network (SPHN), and ISPM Bern staff: Alexander Laemmle, Alexander  ... 
doi:10.48350/163898 fatcat:l43d2mg3xng6rjcir5e6sgsjhu

Towards a Learning Health System: a SOA based platform for data re-use in chronic infectious diseases [article]

BARBARA GIANNINI
2018
to improve activity and processes in the medical field [8] . in Minnesota [14] and the "Pediatric Learning Health System" (PEDSnet) in Pennsylvania [15] , both started in 2015 with an expected duration  ...  The development of computer interpretable guidelines is facilitated by the use of a guideline editor.  ... 
doi:10.15167/giannini-barbara_phd2018-02-13 fatcat:s2wypthvxfg45mktn4eh55bfv4