Search Results - "Kehoe, Iain E."

Diagnostic suspicion bias and machine learning: Breaking the awareness deadlock for sepsis detection by Prasad, Varesh, Aydemir, Baturay, Kehoe, Iain E., Kotturesh, Chaya, O’Connell, Abigail, Biebelberg, Brett, Wang, Yang, Lynch, James C., Pepino, Jeremy A., Filbin, Michael R., Heldt, Thomas, Reisner, Andrew T.

“…Many early warning algorithms are downstream of clinical evaluation and diagnostic testing, which means that they may not be useful when clinicians fail to…”
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Atypical symptoms in emergency department patients with urosepsis challenge current urinary tract infection management guidelines by Biebelberg, Brett, Kehoe, Iain E., Zheng, Hui, O'Connell, Abigail, Filbin, Michael R., Heldt, Thomas, Reisner, Andrew T.

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Response to: “Asymptomatic bacteriuria or symptomatic urinary tract infection? That is the question” by Biebelberg, Brett, Kehoe, Iain E., Filbin, Michael R., Heldt, Thomas, Reisner, Andrew T.

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Hypotension During Vasopressor Infusion Occurs in Predictable Clusters: A Multicenter Analysis by Horiguchi, Daisuke, Shin, Sungtae, Pepino, Jeremy A., Peterson, Jeffrey T., Kehoe, Iain E., Goldstein, Joshua N., Lee, Jarone, Kwon, Brian K., Hahn, Jin-Oh, Reisner, Andrew T.

“…Background: Published evidence indicates that mean arterial pressure (MAP) below a goal range (hypotension) is associated with worse outcomes, though MAP…”
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End-user evaluation of an interface for clinical decision support using predictive algorithms by Kehoe, Iain E., Pepino, Jeremy A., Lee, Jarone, Hahn, Jin-Oh, Reisner, Andrew T.

“…There have been decades of interest in advanced computational algorithms with potential for clinical decision support systems (CDSS), yet these have not been…”
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Diagnostic suspicion bias and machine learning: Breaking the awareness deadlock for sepsis detection by Varesh Prasad, Baturay Aydemir, Iain E Kehoe, Chaya Kotturesh, Abigail O'Connell, Brett Biebelberg, Yang Wang, James C Lynch, Jeremy A Pepino, Michael R Filbin, Thomas Heldt, Andrew T Reisner

“…Many early warning algorithms are downstream of clinical evaluation and diagnostic testing, which means that they may not be useful when clinicians fail to…”
Get full text