2020
DOI: 10.1016/j.ijid.2020.07.035
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Validation of a semi-automated surveillance system for surgical site infections: Improving exhaustiveness, representativeness, and efficiency

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Cited by 5 publications
(1 citation statement)
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“…(2) because they have insufficient algorithm performance, (3) because processing time is delayed or (4) because they are too complex for application in real life. [12][13][14][15][16][17][18] Two published semiautomated surveillance algorithms targeting deep SSI after colorectal surgery may be feasible for the Dutch setting: a classification algorithm 19 and a multivariable regression model. 20 The classification algorithm was pre-emptively designed based on clinical and surveillance practices from a French, a Spanish, and a Dutch hospital.…”
mentioning
confidence: 99%
“…(2) because they have insufficient algorithm performance, (3) because processing time is delayed or (4) because they are too complex for application in real life. [12][13][14][15][16][17][18] Two published semiautomated surveillance algorithms targeting deep SSI after colorectal surgery may be feasible for the Dutch setting: a classification algorithm 19 and a multivariable regression model. 20 The classification algorithm was pre-emptively designed based on clinical and surveillance practices from a French, a Spanish, and a Dutch hospital.…”
mentioning
confidence: 99%