17 lines
822 B
Python
17 lines
822 B
Python
import pandas as pd
|
|
|
|
participant_info = pd.read_csv(snakemake.input["participant_info"])
|
|
summarised = snakemake.params["summarised"]
|
|
pid = snakemake.input["participant_info"].split("/")[2]
|
|
|
|
targets = pd.DataFrame({"pid": [pid], "target": [None]})
|
|
if summarised == "summarised":
|
|
if not participant_info.empty:
|
|
cesds = participant_info.loc[0, ["preop_cesd_total", "inpatient_cesd_total", "postop_cesd_total", "3month_cesd_total"]]
|
|
# targets: 1 => 50% (ceiling) or more of available CESD scores were 16 or higher; 0 => otherwise
|
|
threshold_num = (cesds.count() + 1) // 2
|
|
threshold_cesd = 16
|
|
target = 1 if cesds.apply(lambda x : 1 if x >= threshold_cesd else 0).sum() >= threshold_num else 0
|
|
targets.loc[0, "target"] = target
|
|
targets.to_csv(snakemake.output[0], index=False)
|