Data Science for Child Health - 24/04/19
Doi : 10.1016/j.jpeds.2018.12.041
Tellen D. Bennett, MD, MS 1, 2, 3, 4, 5, ⁎ 
, Tiffany J. Callahan, MPH 5, James A. Feinstein, MD, MPH 1, 4, Debashis Ghosh, PhD 2, 3, 5, Saquib A. Lakhani, MD 6, Michael C. Spaeder, MD, MS 7, Stanley J. Szefler, MD 1, 4, Michael G. Kahn, MD, PhD 1, 5
, Tiffany J. Callahan, MPH 5, James A. Feinstein, MD, MPH 1, 4, Debashis Ghosh, PhD 2, 3, 5, Saquib A. Lakhani, MD 6, Michael C. Spaeder, MD, MS 7, Stanley J. Szefler, MD 1, 4, Michael G. Kahn, MD, PhD 1, 5 1 Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO
2 CU Data Science to Patient Value (D2V), University of Colorado School of Medicine, Aurora, CO
3 Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO
4 Adult and Child Consortium for Outcomes Research and Delivery Science (ACCORDS), University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, CO
5 Computational Bioscience Program, University of Colorado Denver Anschutz Medical Campus, Aurora, CO
6 Pediatric Genomics Discovery Program, Department of Pediatrics, Yale University School of Medicine, New Haven, CT
7 Pediatric Critical Care, University of Virginia School of Medicine, Charlottesville, VA
∗Reprint requests: Tellen D. Bennett, MD, MS, Associate Professor, Pediatric Critical Care, University of Colorado School of Medicine, Children's Hospital Colorado, Biostatistics and Informatics, Colorado School of Public Health (Secondary), Co-Director, Analytics Core, CU Data Science to Patient Value, Associate Director, Informatics Core, Colorado Clinical and Translational Sciences Institute (CCTSI), 13199 E. Montview Blvd, Suite 300, Mail Stop F443, Aurora, CO 80045.Pediatric Critical CareUniversity of Colorado School of MedicineChildren's Hospital ColoradoBiostatistics and InformaticsColorado School of Public Health (Secondary)Co-Director, Analytics CoreCU Data Science to Patient ValueAssociate Director, Informatics CoreColorado Clinical and Translational Sciences Institute (CCTSI)13199 E. Montview BlvdSuite 300Mail Stop F443AuroraCO80045
Keywords : forecasting, classification, decision support systems, clinical, data mining, machine learning, phenotype, neural networks, data warehousing
Abbreviations : ARDS, CDM, CHD, EHR, FAIR, i2b2, ICD, ICU, MIMIC, PEDSNet, SNOMED-CT, TRIPOD, WES
Plan
| Supported, in part, by the National Institutes of Health (NICHDR03 HD094912 [to T.B.] and NCATSUL1 TR002535 [to Ronald Sokol] and NICHDK23 HD091295 [to J.F.]). The authors declare no conflicts of interest. |
© 2018
Elsevier Inc. Tous droits réservés.
Vol 208
P. 12-22 - mai 2019 Retour au numéro
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