Ties Boerma, Oona M R Campbell, Agbessi Amouzou, Cauane Blumenberg, Hannah Blencowe, Allisyn Moran, Joy E Lawn, Gloria Ikilezi
Maternal mortality, stillbirths, and neonatal mortality: a transition model based on analyses of 151 countries
The Lancet. Global health
study presents novel approach modeling velocitytime curve 100m sprinting integrating machine learning algorithms critically addresses limitations traditional speed models often require extensive intricate data collection proposing accessible accurate method using fewer variables research utilized data various international track events 1987 2019 two machine learning models random forest rf neural network nn employed predict velocitytime curve focusing acceleration phase sprint models evaluated traditional exponential speed model using mean squared error mse nn model demonstrating superior performance additionally study explored correlation maximum velocity time maximum velocity occurrence duration maximum speed phase overall 100m sprint time findings indicate strong negative correlation maximum velocity final time offering new insights dynamics sprinting performance research contributes significantly field sports science particularly optimizing training performance analysis sprinting