Module phc.easy.condition
Expand source code
from phc.easy.summary.item_counts import SummaryItemCounts
from phc.easy.util.frame import search
from typing import Optional
import pandas as pd
from phc.easy.frame import Frame
from phc.easy.abstract.fhir_service_patient_item import FhirServicePatientItem
class Condition(FhirServicePatientItem):
@staticmethod
def table_name():
return "condition"
@staticmethod
def code_fields():
return [
"meta.tag",
"code.coding",
"bodySite.coding",
"stage.summary.coding",
]
@classmethod
def get_codes(cls, query: Optional[str] = None):
"""Find codes based on case-insensitive matching of code/display/system
Example
--------
>>> import phc.easy as phc
>>> phc.Auth.set({'account': '<your-account-name>'})
>>> phc.Project.set_current('My Project Name')
>>>
>>> phc.Observation.get_codes("loinc")
"""
return search(
SummaryItemCounts.get_data_frame(cls.table_name()), query=query
)
@staticmethod
def transform_results(df: pd.DataFrame, **expand_args):
return Frame.expand(
df,
date_columns=[
*expand_args.get("date_columns", []),
"onsetDateTime",
"assertedDate",
"onsetPeriod.start",
"onsetPeriod.end",
],
code_columns=[
*expand_args.get("code_columns", []),
"bodySite",
"stage",
],
custom_columns=[
*expand_args.get("custom_columns", []),
Frame.codeable_like_column_expander("subject"),
Frame.codeable_like_column_expander("onsetPeriod"),
Frame.codeable_like_column_expander("context"),
],
)
Classes
class Condition
-
Provides an abstract class and/or static methods for retrieving items from a FSS table that relates to a patient
Expand source code
class Condition(FhirServicePatientItem): @staticmethod def table_name(): return "condition" @staticmethod def code_fields(): return [ "meta.tag", "code.coding", "bodySite.coding", "stage.summary.coding", ] @classmethod def get_codes(cls, query: Optional[str] = None): """Find codes based on case-insensitive matching of code/display/system Example -------- >>> import phc.easy as phc >>> phc.Auth.set({'account': '<your-account-name>'}) >>> phc.Project.set_current('My Project Name') >>> >>> phc.Observation.get_codes("loinc") """ return search( SummaryItemCounts.get_data_frame(cls.table_name()), query=query ) @staticmethod def transform_results(df: pd.DataFrame, **expand_args): return Frame.expand( df, date_columns=[ *expand_args.get("date_columns", []), "onsetDateTime", "assertedDate", "onsetPeriod.start", "onsetPeriod.end", ], code_columns=[ *expand_args.get("code_columns", []), "bodySite", "stage", ], custom_columns=[ *expand_args.get("custom_columns", []), Frame.codeable_like_column_expander("subject"), Frame.codeable_like_column_expander("onsetPeriod"), Frame.codeable_like_column_expander("context"), ], )
Ancestors
Static methods
def code_fields()
-
Inherited from:
FhirServicePatientItem
.code_fields
Returns the code keys (e.g. when searching for codes)
Expand source code
@staticmethod def code_fields(): return [ "meta.tag", "code.coding", "bodySite.coding", "stage.summary.coding", ]
def get_codes(query: Optional[str] = None)
-
Find codes based on case-insensitive matching of code/display/system
Example
>>> import phc.easy as phc >>> phc.Auth.set({'account': '<your-account-name>'}) >>> phc.Project.set_current('My Project Name') >>> >>> phc.Observation.get_codes("loinc")
Expand source code
@classmethod def get_codes(cls, query: Optional[str] = None): """Find codes based on case-insensitive matching of code/display/system Example -------- >>> import phc.easy as phc >>> phc.Auth.set({'account': '<your-account-name>'}) >>> phc.Project.set_current('My Project Name') >>> >>> phc.Observation.get_codes("loinc") """ return search( SummaryItemCounts.get_data_frame(cls.table_name()), query=query )
def get_count(query_overrides: dict = {}, auth_args=<phc.easy.auth.Auth object>)
-
Inherited from:
FhirServicePatientItem
.get_count
Get the count for a given FSS query
def get_count_by_field(field: str, **kwargs)
-
Inherited from:
FhirServicePatientItem
.get_count_by_field
Count records by a given field …
def get_count_by_patient(**kwargs)
-
Inherited from:
FhirServicePatientItem
.get_count_by_patient
Count records by a given field …
def get_data_frame(all_results: bool = False, raw: bool = False, id: Optional[str] = None, ids: List[str] = [], patient_id: Optional[str] = None, patient_ids: List[str] = [], device_id: Optional[str] = None, device_ids: List[str] = [], page_size: Optional[int] = None, max_pages: Optional[int] = None, query_overrides: dict = {}, auth_args=<phc.easy.auth.Auth object>, ignore_cache: bool = False, expand_args: dict = {}, log: bool = False, term: Optional[dict] = None, terms: List[dict] = [], max_terms: int = 30000, code: Union[str, List[str], ForwardRef(None)] = None, display: Union[str, List[str], ForwardRef(None)] = None, system: Union[str, List[str], ForwardRef(None)] = None, code_fields: List[str] = [])
-
Inherited from:
FhirServicePatientItem
.get_data_frame
Retrieve records …
def table_name()
-
Inherited from:
FhirServicePatientItem
.table_name
Returns the FSS table name for retrieval
Expand source code
@staticmethod def table_name(): return "condition"
def transform_results(df: pandas.core.frame.DataFrame, **expand_args)
-
Inherited from:
FhirServicePatientItem
.transform_results
Transform data frame batch
Expand source code
@staticmethod def transform_results(df: pd.DataFrame, **expand_args): return Frame.expand( df, date_columns=[ *expand_args.get("date_columns", []), "onsetDateTime", "assertedDate", "onsetPeriod.start", "onsetPeriod.end", ], code_columns=[ *expand_args.get("code_columns", []), "bodySite", "stage", ], custom_columns=[ *expand_args.get("custom_columns", []), Frame.codeable_like_column_expander("subject"), Frame.codeable_like_column_expander("onsetPeriod"), Frame.codeable_like_column_expander("context"), ], )