School of Medicine

Center for Advanced Medical Analytics (CAMA)

Cell Maps for Artificial Intelligence

Cardiovascular Research Center

Department of Public Health Sciences

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31 to 37 of 37 Results

Evidence for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis 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".
Replication Data for: 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
Center for Advanced Medical Analytics (CAMA) Jan 8, 2021
Trajectories of the heart rate characteristics index, a physiomarker of sepsis in premature infants, predict Neonatal ICU mortality 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 Disease 2020. https://doi.org/10.1177/2048004020945142. ABSTRACT OBJEC...
UVA Holter Beat Annotation Files 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 intervals) along with rhythm and beat labels. RR interval series suitable f...
Replication Data for: Cardiorespiratory dynamics measured from continuous ECG monitoring improves detection of deterioration in acute care patients: A retrospective cohort study 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
Cardiovascular Research Center Jun 30, 2016 Uploads delayed pending publication

Evidence for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis

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".

Replication Data for: 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

Center for Advanced Medical Analytics (CAMA)

Jan 8, 2021

Trajectories of the heart rate characteristics index, a physiomarker of sepsis in premature infants, predict Neonatal ICU mortality

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 Disease 2020. https://doi.org/10.1177/2048004020945142. ABSTRACT OBJEC...

UVA Holter Beat Annotation Files

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 intervals) along with rhythm and beat labels. RR interval series suitable f...

Replication Data for: Cardiorespiratory dynamics measured from continuous ECG monitoring improves detection of deterioration in acute care patients: A retrospective cohort study

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

Cardiovascular Research Center

Jun 30, 2016

Uploads delayed pending publication

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