Zobrazeno 1 - 10
of 48
pro vyhledávání: '"L. Kausch"'
Autor:
E. Nocerino, F. Lago, D. Morabito, F. Remondino, L. Porzi, F. Poiesi, S. Rota Bulo, P. Chippendale, A. Locher, M. Havlena, L. Van Gool, M. Eder, A. Fötschl, A. Hilsmann, L. Kausch, P. Eisert
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2/W3, Pp 535-541 (2017)
During the last two decades we have witnessed great improvements in ICT hardware and software technologies. Three-dimensional content is starting to become commonplace now in many applications. Although for many years 3D technologies have been used i
Externí odkaz:
https://doaj.org/article/00ffc0fbfc5f426987671cc34611161c
Autor:
Rupin Kumar, Sherry L. Kausch, Angela K. S. Gummadi, Karen D. Fairchild, Mayuresh M. Abhyankar, William A. Petri, Brynne A. Sullivan
Publikováno v:
Frontiers in Pediatrics, Vol 12 (2024)
BackgroundEarly diagnosis of late-onset sepsis (LOS) and necrotizing enterocolitis (NEC) in very low birth weight (VLBW,
Externí odkaz:
https://doaj.org/article/095b0ff606fe4d52b1735153d3f88cb8
Publikováno v:
PLOS Digital Health, Vol 1, Iss 3, p e0000019 (2022)
Illness dynamics and patterns of recovery may be essential features in understanding the critical illness course. We propose a method to characterize individual illness dynamics in patients who experienced sepsis in the pediatric intensive care unit.
Externí odkaz:
https://doaj.org/article/357adc8f8b784670b7b69aeb47690a4d
Autor:
Sherry L. Kausch, Jennifer M. Lobo, Michael C. Spaeder, Brynne Sullivan, Jessica Keim-Malpass
Publikováno v:
Frontiers in Pediatrics, Vol 9 (2021)
Pediatric sepsis is a heterogeneous disease with varying physiological dynamics associated with recovery, disability, and mortality. Using risk scores generated from a sepsis prediction model to define illness states, we used Markov chain modeling to
Externí odkaz:
https://doaj.org/article/c0c35ccad9c041e5a4541e57aa0920ad
Publikováno v:
Pediatric Research. 93:350-356
Autor:
Sherry L. Kausch, Jackson G. Brandberg, Jiaxing J. Qiu, Aneesha Panda, Alexandra Binai, Joseph Isler, Rakesh Sahni, Zachary A. Vesoulis, J. Randall Moorman, Karen D. Fairchild, Douglas E. Lake, Brynne A. Sullivan
BackgroundHeart rate characteristics aid early detection of late-onset sepsis (LOS), but respiratory data contain additional signatures of illness due to infection. Predictive models using cardiorespiratory data may improve early sepsis detection. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::879f35a0c6799160193e65c42c6a9186
https://doi.org/10.1101/2022.09.28.22280469
https://doi.org/10.1101/2022.09.28.22280469
Autor:
Sherry L, Kausch, Jackson G, Brandberg, Jiaxing, Qiu, Aneesha, Panda, Alexandra, Binai, Joseph, Isler, Rakesh, Sahni, Zachary A, Vesoulis, J Randall, Moorman, Karen D, Fairchild, Douglas E, Lake, Brynne A, Sullivan
Publikováno v:
Pediatric research.
Heart rate characteristics aid early detection of late-onset sepsis (LOS), but respiratory data contain additional signatures of illness due to infection. Predictive models using cardiorespiratory data may improve early sepsis detection. We hypothesi
Autor:
Jessica Keim-Malpass, Sherry L. Kausch
Publikováno v:
Seminars in Oncology Nursing. :151432
Publikováno v:
2020 Systems and Information Engineering Design Symposium (SIEDS).
Over one million Americans are currently living with HIV. The Ryan White HIV/AIDS Program (RWHAP) provides funding for HIV medical care and medications for people living with HIV. The RWHAP program received 2.34 billion dollars in 2018 and the Ending
Publikováno v:
Intensive and Critical Care Nursing. 65:103035
Background Diagnosing sepsis remains challenging. Data compiled from continuous monitoring and electronic health records allow for new opportunities to compute predictions based on machine learning techniques. There has been a lack of consensus ident