A dataset containing sample patient characteristics to run the prediction model variables are as follows:
A data frame with 2 rows and 19 variables
ID. A unique character string identifying a patients
male. whether the patient is male (0,1)
age. the age of the patient (40--90)
smoker. whether the patient is currently a smoker (0,1)
oxygen. whether the patient has had supplemental oxygen therapy within the past year (0,1)
FEV1. forced expiratory volume in 1 second in L (0--5)
BMI. body mass index (10--60)
SGRQ. St. George’s Respiratory Questionnaire score (0--100)
statin. whether the patient is taking statins due to cardiovascular conditions (0,1)
LAMA. whether the patient is on long acting muscarinic antagonist (0,1)
LABA. whether the patient is on long acting beta agonist (0,1)
ICS. whether the patient is on inhaled corticosteroids (0,1)
randomizedLAMA. whether the patient was randomized to receivelong acting muscarinic antagonist. Should be 0 for prediction.(0,1)
randomizedLABA. whether the patient was randomized to receive on long acting beta agonist. Should be 0 for prediction (0,1)
randomizedICS. whether the patient was randomized to receive on inhaled corticosteroids. Should be 0 for prediction (0,1)
randomizedAzithromycin. whether the patient was was randomized to receive long-term azithromycin therapy. Should be 0 for prediction (0,1)