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1 to 9 of 9 Results
Feb 22, 2022
Mccartney, Christopher, 2021, "Kim 2022 - Acute progesterone feedback in PCOS - Supplemental Materials", https://doi.org/10.18130/V3/ANXWCF, University of Virginia Dataverse, V3
Supplemental Materials for "Acute progesterone feedback on gonadotropin secretion is not demonstrably altered in estradiol-pretreated women with polycystic ovary syndrome," authors Su Hee Kim, Jessica A. Lundgren, James T. Patrie, Christine M. Burt Solorzano, and Christopher R. M...
Jan 22, 2022
Adorno, William, 2021, "Replication Data for: Deep Learning-Derived Tissue Features Aid Diagnosis of Eosinophilic Esophagitis", https://doi.org/10.18130/V3/OJKSL9, University of Virginia Dataverse, V4
This contains data to replicate the eosionphil segmentation model and the EoE classification model.
Apr 7, 2021 - Center for Advanced Medical Analytics (CAMA)
Zimmet, Amanda M; Sullivan, Brynne A; Fairchild, Karen D; Moorman, J Randall; Isler, Joseph R; Wallman-Stokes, Aaron W; Sahni, Rakesh; Vesoulis, Zachary A; Ratcliffe, Sarah J; Lake, Douglas E, 2021, "Data Associated with the Publication: Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms", https://doi.org/10.18130/V3/7UAPHU, University of Virginia Dataverse, V1
This repository contains the dataset and code for the manuscript: Zimmet AM, Sullivan BA, Fairchild KD, Moorman JR, Isler JR, Wallman-Stokes AW, Sahni R, Vesoulis ZA, Ratcliffe SJ, & Lake DE. Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithm...
Mar 31, 2021
Niestroy, Justin; Levinson, Maxwell; Al Manir, Sadnan; Clark, Timothy; Fairchild, Karen; Lake, Doug; Moorman, Randall, 2021, "Evidence for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis", https://doi.org/10.18130/V3/HHTAYI, University of Virginia Dataverse, V1
Evidence graph supporting "Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis".
Mar 26, 2021 - Center for Advanced Medical Analytics (CAMA)
Niestroy, Justin; Levinson, Maxwell; Al Manir, Sadnan; Clark, Timothy; Fairchild, Karen; Lake, Doug; Moorman, Randall, 2021, "Replication Data for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis", https://doi.org/10.18130/V3/VJXODP, University of Virginia Dataverse, V2, UNF:6:GqW9E/3oO1FhDufqdm3q5w== [fileUNF]
Replication Data for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis
Jul 30, 2020 - Center for Advanced Medical Analytics (CAMA)
Zimmet, Amanda M; Sullivan, Brynne A; Moorman, J Randall; Lake, Douglas E; Ratcliffe, Sarah J, 2020, "Trajectories of the heart rate characteristics index, a physiomarker of sepsis in premature infants, predict Neonatal ICU mortality", https://doi.org/10.18130/V3/2XENWC, University of Virginia Dataverse, V1, UNF:6:S3FYMHGFUcyal63xyeldrA== [fileUNF]
This repository contains the dataset and code for the manuscript: Zimmet AM, Sullivan BA, Moorman JR, Lake DE, & Ratcliffe SJ. Trajectories of the heart rate characteristics index, a physiomarker of sepsis in premature infants, predict Neonatal ICU mortality. JRSM Cardiovascular...
Jul 10, 2019 - Center for Advanced Medical Analytics (CAMA)
Lake, Douglas, 2019, "UVA Holter Beat Annotation Files", https://doi.org/10.18130/V3/TSJ8IC, University of Virginia Dataverse, V1, UNF:6:8CiN/EPHIGQW80jX0Qk0VQ== [fileUNF]
Raw heart beat detection and annotation (.BEA) files for 2893 24-hour Holter recordings made at the University of Virginia from 2005 to 2010. Survival and basic patient information also available. Matlab script provided to read files and create interbeat intervals (i.e., RR inter...
Jul 17, 2017 - Center for Advanced Medical Analytics (CAMA)
Moss, Travis, 2017, "Replication Data for: Cardiorespiratory dynamics measured from continuous ECG monitoring improves detection of deterioration in acute care patients: A retrospective cohort study", https://doi.org/10.18130/V3/MKY17T, University of Virginia Dataverse, V1, UNF:6:X+2wSZbLeWoWG/3CELuVXw== [fileUNF]
Minimal anonymized data set for replication of study findings
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