Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Noah Hammarlund"'
Publikováno v:
Frontiers in Stroke, Vol 3 (2024)
IntroductionStroke among Americans under age 49 is increasing. While the risk factors for stroke among older adults are well-established, evidence on stroke causes in young adults remains limited. This study used machine learning techniques to explor
Externí odkaz:
https://doaj.org/article/3b9cc06b27054da19a8347de8274c447
Publikováno v:
BMC Public Health, Vol 20, Iss 1, Pp 1-13 (2020)
Abstract Background The increasing adoption of electronic health record (EHR) systems enables automated, large scale, and meaningful analysis of regional population health. We explored how EHR systems could inform surveillance of trauma-related emerg
Externí odkaz:
https://doaj.org/article/890588e990ae4ab99da5976a58155ca8
Autor:
Woojung, Lee, Naomi, Schwartz, Aasthaa, Bansal, Sara, Khor, Noah, Hammarlund, Anirban, Basu, Beth, Devine
Publikováno v:
Value in Health. 26:292-299
With the emerging use of machine learning (ML) techniques, there has been particular interest in using wearable data for health economics and outcomes research (HEOR). We aimed to understand the emerging patterns of how ML has been applied to wearabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adc3f4409671b444a4485b70fc59ea39
https://doi.org/10.1016/j.jval.2022.08.005
https://doi.org/10.1016/j.jval.2022.08.005
Autor:
Woojung, Lee, Naomi, Schwartz, Aasthaa, Bansal, Sara, Khor, Noah, Hammarlund, Anirban, Basu, Beth, Devine
Publikováno v:
Value in Health. 25:2053-2061
Despite the increasing interest in applying machine learning (ML) methods in health economics and outcomes research (HEOR), stakeholders face uncertainties in when and how ML can be used. We reviewed the recent applications of ML in HEOR.We searched
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::000cc8aa568fa7510ac0848af8b8c70d
https://doi.org/10.1016/j.jval.2022.07.011
https://doi.org/10.1016/j.jval.2022.07.011
Autor:
Ian J. Saldanha, Gaelen P. Adam, Lionel L. Bañez, Eric B. Bass, Elise Berliner, Beth Devine, Noah Hammarlund, Anjali Jain, Susan L. Norris, Andrea C. Skelly, Kelly Vander Ley, Zhen Wang, Timothy J. Wilt, Meera Viswanathan
Publikováno v:
Journal of Clinical Epidemiology. 152:300-306
We developed guidance to inform decisions regarding the inclusion of nonrandomized studies of interventions (NRSIs) in systematic reviews (SRs) of the effects of interventions.The guidance workgroup comprised SR experts and used an informal consensus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44852b592f64970c7187b817aaaa9a6e
https://doi.org/10.1016/j.jclinepi.2022.08.015
https://doi.org/10.1016/j.jclinepi.2022.08.015
Autor:
Ian J. Saldanha, Andrea C. Skelly, Kelly Vander Ley, Zhen Wang, Elise Berliner, Eric B. Bass, Beth Devine, Noah Hammarlund, Gaelen P. Adam, Denise Duan-Porter, Lionel L. Bañez, Anjali Jain, Susan L. Norris, Timothy J. Wilt, Brian Leas, Shazia M. Siddique, Celia V. Fiordalisi, Cecilia Patino-Sutton, Meera Viswanathan
Introduction: Nonrandomized studies of interventions (NRSIs) are observational or experimental studies of the effectiveness and/or harms of interventions, in which participants are not randomized to intervention groups. There is increasingly widespre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fec88fdce7ce28cc791832dcda0a572b
https://doi.org/10.23970/ahrqepcmethodsguidenrsi
https://doi.org/10.23970/ahrqepcmethodsguidenrsi
Publikováno v:
International journal of medical informatics. 170
The increased use of the copy and paste function (CPF) in Electronic Health Records (EHRs) has raised concerns about possible clinician miscommunication and adverse patient outcomes.This study investigated the prevalence and extent of CPF in the EHRs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8abc390717d3321891eccbcbd682886d
https://pubmed.ncbi.nlm.nih.gov/36508751
https://pubmed.ncbi.nlm.nih.gov/36508751
Publikováno v:
Journal of Labor Economics. 39:S619-S650
Covariate-adjusted cross-sectional comparisons show that Medicaid patients have worse health outcomes than other patients. We evaluate the validity of this research design for estimating the causal...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7dec055efefb8cfce6728e19ea882c5
https://doi.org/10.1086/712948
https://doi.org/10.1086/712948
Autor:
Noah Hammarlund
Publikováno v:
Health Services and Outcomes Research Methodology. 21:248-286
Black patients are less likely to receive certain surgical interventions. To test whether a health risk disparity and thus differential appropriateness for surgery explains a treatment disparity, researchers must adjust observed rates for patient-lev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6dc59f1faffb9dc41e6cfe8bf9e4146
https://doi.org/10.1007/s10742-020-00231-7
https://doi.org/10.1007/s10742-020-00231-7
Autor:
Justin Guinney, Justin Prosser, Noah Hammarlund, Yao Yan, Thomas Yu, Vikas Pejaver, Thomas Schaffter, Sean D. Mooney, Timothy Bergquist
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
Objective The development of predictive models for clinical application requires the availability of electronic health record (EHR) data, which is complicated by patient privacy concerns. We showcase the “Model to Data” (MTD) approach as a new me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c295b003e411ca56db13796748e6dd93
https://doi.org/10.1093/jamia/ocaa083
https://doi.org/10.1093/jamia/ocaa083