 Connection
Kathryn Colborn to Sepsis
This is a "connection" page, showing publications Kathryn Colborn has written about Sepsis.
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Connection Strength |
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0.879 |
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Scott H, Colborn K. Machine Learning for Predicting Sepsis In-hospital Mortality: An Important Start. Acad Emerg Med. 2016 11; 23(11):1307.
Score: 0.406
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Bronsert MR, Henderson WG, Colborn KL, Dyas AR, Madsen HJ, Zhuang Y, Lambert-Kerzner A, Meguid RA. Effect of Present at Time of Surgery on Unadjusted and Risk-Adjusted Postoperative Complication Rate. J Am Coll Surg. 2023 01 01; 236(1):7-15.
Score: 0.155
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Madsen HJ, Henderson WG, Bronsert MR, Dyas AR, Colborn KL, Lambert-Kerzner A, Meguid RA. Associations Between Preoperative Risk, Postoperative Complications, and 30-Day Mortality. World J Surg. 2022 10; 46(10):2365-2376.
Score: 0.150
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Scott HF, Colborn KL, Sevick CJ, Bajaj L, Deakyne Davies SJ, Fairclough D, Kissoon N, Kempe A. Development and Validation of a Model to Predict Pediatric Septic Shock Using Data Known 2 Hours After Hospital Arrival. Pediatr Crit Care Med. 2021 01 01; 22(1):16-26.
Score: 0.135
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Aasen DM, Bronsert MR, Rozeboom PD, Colborn KL, Henderson WG, Lambert-Kerzner A, Hammermeister KE, Meguid RA. Relationships between predischarge and postdischarge infectious complications, length of stay, and unplanned readmissions in the ACS NSQIP database. Surgery. 2021 02; 169(2):325-332.
Score: 0.033
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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