2019
DOI: 10.1007/978-3-030-32475-9_6
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Evalu@: An Agnostic Web-Based Tool for Consistent and Constant Evaluation Used as a Data Gatherer for Artificial Intelligence Implementations

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Cited by 8 publications
(2 citation statements)
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“…Using a homemade API, the gateway also pushes the estimated operation points, and the patient’s vitals to the Evalu@ service. 12 Since medical applications do not admit information lost (insufficient information or delayed data due to packets lost will affect the decision stage and eventually the patient’s health), we sacrificed speed and preferred reliability by choosing TCP instead of the user datagram protocol (UDP). Recall that UDP is a faster protocol with no recovery mechanisms in case information packets are corrupted or lost.…”
Section: Methodsmentioning
confidence: 99%
“…Using a homemade API, the gateway also pushes the estimated operation points, and the patient’s vitals to the Evalu@ service. 12 Since medical applications do not admit information lost (insufficient information or delayed data due to packets lost will affect the decision stage and eventually the patient’s health), we sacrificed speed and preferred reliability by choosing TCP instead of the user datagram protocol (UDP). Recall that UDP is a faster protocol with no recovery mechanisms in case information packets are corrupted or lost.…”
Section: Methodsmentioning
confidence: 99%
“…Records of three measurements per subject were gathered for a sample size of n = 52. Evalu@ (15) was employed in the data collection tasks to generate real-time statistics and instant remote monitoring. The three experts yielded normal distributions for their manual MHC estimations on 27 males, 25 females within the age range months old.…”
Section: Characterizing the Lack Of Reproducibility In Mhc Manual Estimationmentioning
confidence: 99%