Open eashwarsiddharth opened 7 years ago
@Rajhan it would be of great help if you could share some guidelines on how to handle the drug_name and generic_name anomalies because we lack the necessary background to make decisions.
It will be the key to our further analyses.
@Rajhan
grouped_generic_name[which(names(grouped_generic_name) %like% 'CARBIDOPA')] %>% lapply(function(x) {x %>% unique()})
'CARBIDOPA', 'CARBIDOPA/LEVODOPA', 'CARBIDOPA/LEVODOPA/ENTACAPONE' all seem to be similar in name. But,
I have noticed that 'LODOSYN' is a drug_name which corresponds to generic_name 'CARBIDOPA' and not 'CARBIDOPA/LEVODOPA'.
So, do you recommend that I change the generic_name for 'LODOSYN' from 'CARBIDOPA' to 'CARBIDOPA/LEVODOPA'.
or, would you recommend that change the generic_name for all three to a common one 'CARBIDOPA'.
How do I deal with other similar cases ?