scholarly journals A real‐world, data‐driven view of general practice prescribing

2014 ◽  
Vol 201 (9) ◽  
pp. 504-504 ◽  
Author(s):  
Lynn M Weekes
2017 ◽  
Vol 19 (1) ◽  
pp. 127-139 ◽  
Author(s):  
Jun Li ◽  
Eric M. Simmons ◽  
Martin D. Eastgate

A predictive analytics approach to understanding process mass intensity (PMI) is described. This method leverages real-world data to predict probable PMI outcomes for a potential synthetic route and to compare PMI outcomes to the summation of prior experience.


2017 ◽  
Vol 35 (3) ◽  
pp. 220-228 ◽  
Author(s):  
M. Soledad Cepeda ◽  
Jenna Reps ◽  
Daniel Fife ◽  
Clair Blacketer ◽  
Paul Stang ◽  
...  

2016 ◽  
Vol 22 ◽  
pp. 219
Author(s):  
Roberto Salvatori ◽  
Olga Gambetti ◽  
Whitney Woodmansee ◽  
David Cox ◽  
Beloo Mirakhur ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document