Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Qingchu Jin"'
Publikováno v:
Frontiers in Radiology, Vol 3 (2024)
Data for healthcare is diverse and includes many different modalities. Traditional approaches to Artificial Intelligence for cardiovascular disease were typically limited to single modalities. With the proliferation of diverse datasets and new method
Externí odkaz:
https://doaj.org/article/2f33561be0f74264976bc23bec90d8dc
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 10, p e1009536 (2021)
Ectopic beats (EBs) are cellular arrhythmias that can trigger lethal arrhythmias. Simulations using biophysically-detailed cardiac myocyte models can reveal how model parameters influence the probability of these cellular arrhythmias, however such an
Externí odkaz:
https://doaj.org/article/477112a02f4f479683219e2e669f6343
Publikováno v:
Frontiers in Radiology; 2024, p1-11, 11p
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 10, p e1009536 (2021)
PLoS Computational Biology
PLoS Computational Biology
Ectopic beats (EBs) are cellular arrhythmias that can trigger lethal arrhythmias. Simulations using biophysically-detailed cardiac myocyte models can reveal how model parameters influence the probability of these cellular arrhythmias, however such an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d1b9792fff81a62fe65455262068d55
https://doaj.org/article/477112a02f4f479683219e2e669f6343
https://doaj.org/article/477112a02f4f479683219e2e669f6343
Early after-depolarizations (EADs) are action potential (AP) repolarization abnormalities that can trigger lethal arrhythmias. Simulations using biophysically-detailed cardiac myocyte models can reveal how model parameters influence the probability o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95b382a5c1b6993caf597e7784a392db
https://doi.org/10.1101/2020.04.09.034843
https://doi.org/10.1101/2020.04.09.034843
Autor:
Han B. Kim, Hieu T. Nguyen, Qingchu Jin, Sharmila Tamby, Tatiana Gelaf Romer, Eric Sung, Ran Liu, Joseph L. Greenstein, Jose I. Suarez, Christian Storm, Raimond L. Winslow, Robert D. Stevens
Publikováno v:
Anaesthesia Critical Care & Pain Medicine. 41:101015
There is an unmet need for timely and reliable prediction of post-cardiac arrest (CA) clinical trajectories. We hypothesized that physiological time series (PTS) data recorded on the first day of intensive care would contribute significantly to discr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1781c060f34089843fb94abdba037015
https://doi.org/10.1016/j.accpm.2021.101015
https://doi.org/10.1016/j.accpm.2021.101015
Publikováno v:
Biophysical Journal. 121:89a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04295f547448abf9c1711abf7b1db4f9
https://doi.org/10.1016/j.bpj.2021.11.2261
https://doi.org/10.1016/j.bpj.2021.11.2261
Publikováno v:
Biophysical Journal. 118:409a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cff95121d7f9223d7c7b64ed570ba1cc
https://doi.org/10.1016/j.bpj.2019.11.2316
https://doi.org/10.1016/j.bpj.2019.11.2316
19: A MACHINE LEARNING-BASED PREDICTION OF CARDIAC ARREST OUTCOME USING A LARGE MULTICENTER DATABASE
Autor:
Eric Sung, Jose I. Suarez, Robert Stevens, Hieu V. Nguyen, Raimond L. Winslow, Greenstein Joseph, Hanbiehn Kim, Qingchu Jin, Christian Storm, Ran Liu, Tatiana Gelaf Romer, Sharmila Tamby
Publikováno v:
Critical Care Medicine. 48:10-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5a1f23d54754b505cf377e920d0db6a
https://doi.org/10.1097/01.ccm.0000618576.74943.8f
https://doi.org/10.1097/01.ccm.0000618576.74943.8f