Department of Public Health Sciences

This collection contains data from projects conducted by faculty, staff, and students in the Department of Public Health Sciences.

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61 to 70 of 6,342 Results

uvasumstats.m Apr 7, 2021 - Data Associated with the Publication: Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms Plain Text - 1.5 KB - MD5: cb5e4c2b60afe9534da0a45be3ef1d96
vitalsumstats.m Apr 7, 2021 - Data Associated with the Publication: Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms Plain Text - 3.7 KB - MD5: 093bc51ffbf152fa8094c5f8f322f28a
wusumstats.m Apr 7, 2021 - Data Associated with the Publication: Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms Plain Text - 2.9 KB - MD5: 0ed7f50427783ce955fd27e683643e50
xcorrstand.m Apr 7, 2021 - Data Associated with the Publication: Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms Plain Text - 1.4 KB - MD5: e7f446b958563bcaf950a88f0c57a297
image-evidence-graph.json Mar 31, 2021 - Evidence for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis JSON - 53.5 MB - MD5: 7232f611f6aecd8e5fedd8487cce536e
image-evidence-graph.json Mar 26, 2021 - Replication Data for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis JSON - 53.5 MB - MD5: 7232f611f6aecd8e5fedd8487cce536e Evidence graph supporting clustering correlation image
randomDailySample_matlab_HR.csv Mar 26, 2021 - Replication Data for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis Comma Separated Values - 655.3 MB - MD5: f27465cf925bd8d23a109cc8320b3068 Matlab Functions run on HR vital samples
randomDailySample_matlab_SP.csv Mar 26, 2021 - Replication Data for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis Comma Separated Values - 591.6 MB - MD5: 3346f5bcdb9fa0770ac0d8f872b4ef07 Matlab functions run on SPo2 vital daily random samples
HR-random-daily-sample-1.csv Jan 6, 2021 - Replication Data for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis Comma Separated Values - 606.3 MB - MD5: 26ef2460d54683a1274e0dc5288b2ebe
HR-random-daily-sample-2.csv Jan 6, 2021 - Replication Data for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis Comma Separated Values - 708.3 MB - MD5: a48dffa1ee85420f211a968b439ad7f5

uvasumstats.m

Apr 7, 2021 - Data Associated with the Publication: Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms

Plain Text - 1.5 KB -

vitalsumstats.m

Apr 7, 2021 - Data Associated with the Publication: Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms

Plain Text - 3.7 KB -

wusumstats.m

Apr 7, 2021 - Data Associated with the Publication: Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms

Plain Text - 2.9 KB -

xcorrstand.m

Apr 7, 2021 - Data Associated with the Publication: Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms

Plain Text - 1.4 KB -