A Machine Learning Algorithm to Identify Patients at Risk of Unplanned Subsequent Surgery After Intramedullary Nailing for Tibial Shaft Fractures

2021 ◽  
Vol 35 (10) ◽  
pp. e381-e388
Author(s):  
Keyword(s):  
Machine Learning ◽  
At Risk ◽  
Intramedullary Nailing ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Tibial Shaft ◽  
Shaft Fractures ◽  
Patients At Risk ◽  
Tibial Shaft Fractures

SCREENING OF PATIENTS AT RISK FOR WILD TYPE ATTR-CM USING A COMPUTATIONAL MACHINE LEARNING ALGORITHM

2021 ◽  
Vol 37 (10) ◽  
pp. S65
Author(s):  
C Willis ◽  
K Kawamoto ◽  
A Watanabe ◽  
J Biskupiak ◽  
K Nolen ◽  
...  
Keyword(s):  
Machine Learning ◽  
At Risk ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Wild Type ◽  
Patients At Risk

IMPLEMENTING MACHINE LEARNING ALGORITHM TO IDENTIFY PATIENTS AT RISK OF DEVELOPING ELEVATED LEFT SIDED CARDIAC FILLING PRESSURES

2018 ◽  
Vol 71 (11) ◽  
pp. A727
Author(s):  
Kinjan Patel ◽  
Marton Tokodi ◽  
Partho P. Sengupta ◽  
Ashok Runkana ◽  
Sirish Shrestha ◽  
...  
Keyword(s):  
Machine Learning ◽  
At Risk ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Patients At Risk ◽  
Cardiac Filling

scholarly journals SCREENING OF PATIENTS AT RISK FOR WILD TYPE ATTR-CM USING A COMPUTATIONAL MACHINE LEARNING ALGORITHM

2021 ◽  
Vol 77 (18) ◽  
pp. 677
Author(s):  
Connor Willis ◽  
Kensaku Kawamoto ◽  
Alexandre Watanabe ◽  
Joseph Biskupiak ◽  
Kim Nolen ◽  
...  
Keyword(s):  
Machine Learning ◽  
At Risk ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Wild Type ◽  
Patients At Risk

scholarly journals Elastic Stable Intramedullary Nailing for Treatment of Pediatric Tibial Fractures

2016 ◽  
Vol 4 (1) ◽  
pp. 11
Author(s):  
Sandeep Gurung ◽  
Dipendra KC ◽  
Roshni Khatri
Keyword(s):  
Intramedullary Nailing ◽  
Demographic Data ◽  
Elastic Stable Intramedullary Nailing ◽  
Tibial Shaft ◽  
Elastic Stable Intramedullary Nail ◽  
Shaft Fractures ◽  
Tibia Fractures ◽  
One Year ◽  
Skeletally Immature Patient ◽  
Tibial Shaft Fractures

Introduction: Tibia fractures in the skeletally immature patient can usually be treated with above knee cast or patellar tendon bearing cast. The purpose of our study was to evaluate epidemiology and outcome of Elastic stable intramedullary nailing fixation of pediatric tibial shaft fractures treated at our institution.   Methods: Over a period of one year, fifty pediatric patients of tibial shaft fractures, with average age of 9.68 yr (SD=2.37), were treated with elastic stable intramedullary nail. Demographic data, union and complication rate were evaluated.   Results: There were 36 closed and 14 open fractures. The average time to union was 11.6 weeks  (SD=2.65) for close and  14.3 weeks (SD=2.62) for open fracture. There were no instances of growth arrest, remanipulations, or refracture.   Conclusion: We conclude that flexible intramedullary fixation is an easy and effective method of management of both open and closed unstable fractures of the tibia in children.

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