SQLite import for mimic3 gives mixed column type warning

Prerequisites

• [X ] Put an X between the brackets on this line if you have done all of the following:
  • Checked the online documentation: https://mimic.mit.edu/
  • Checked that your issue isn't already addressed: https://github.com/MIT-LCP/mimic-code/issues?utf8=%E2%9C%93&q=

Description

While trying to import mimic3 into SQLite with import.py, I get the following error:

Starting processing DATETIMEEVENTS.csv.gz
mimic-code/mimic-iii/buildmimic/sqlite/import.py:25: DtypeWarning: Columns (13) have mixed types. Specify dtype option on import or set low_memory=False.
  for chunk in pd.read_csv(f, index_col="ROW_ID", chunksize=CHUNKSIZE):
...
Starting processing INPUTEVENTS_CV.csv.gz
/home/armando/projects/mimic-code/mimic-iii/buildmimic/sqlite/import.py:25: DtypeWarning: Columns (20,21) have mixed types. Specify dtype option on import or set low_memory=False.
  for chunk in pd.read_csv(f, index_col="ROW_ID", chunksize=CHUNKSIZE):
...
Starting processing NOTEEVENTS.csv.gz
/home/armando/projects/mimic-code/mimic-iii/buildmimic/sqlite/import.py:25: DtypeWarning: Columns (4,5) have mixed types. Specify dtype option on import or set low_memory=False.
  for chunk in pd.read_csv(f, index_col="ROW_ID", chunksize=CHUNKSIZE):
...
Starting processing CHARTEVENTS.csv.gz
/home/armando/projects/mimic-code/mimic-iii/buildmimic/sqlite/import.py:25: DtypeWarning: Columns (13) have mixed types. Specify dtype option on import or set low_memory=False.
  for chunk in pd.read_csv(f, index_col="ROW_ID", chunksize=CHUNKSIZE):
...

Start with mimic-iii/buildmimic/sqlite/import.py at the pandas read_csv call and reproduce the DtypeWarning while importing the named CSV files. Inspect the reported columns and determine the intended handling for their mixed values, then verify that the SQLite import completes without these warnings.