pat2vec.pat2vec_get_methods.get_method_news

Functions

compute_feature_stats(data, column, ...)

Computes summary statistics for a feature column in the NEWS dataset.

get_news(current_pat_client_id_code, ...[, ...])

Retrieves NEWS/NEWS2 features for a patient within a date range.
pat2vec.pat2vec_get_methods.get_method_news.compute_feature_stats(data, column, feature_name, config_obj)[source]

Computes summary statistics for a feature column in the NEWS dataset.

Parameters:

  • data (pd.DataFrame) – Subset of patient data for the feature.

  • column (str) – Column to compute stats from (e.g., ‘observation_valuetext_analysed’).

  • feature_name (str) – Base name for the output feature columns.

  • config_obj (object) – Configuration object with negate_biochem attribute.

Returns:

A dictionary of calculated feature statistics (mean, median, std,

max, min, n).

Return type:

Dict

pat2vec.pat2vec_get_methods.get_method_news.get_news(current_pat_client_id_code, target_date_range, pat_batch, config_obj=None, cohort_searcher_with_terms_and_search=None)[source]

Retrieves NEWS/NEWS2 features for a patient within a date range.

This function fetches NEWS (National Early Warning Score) observation data, either from a pre-loaded batch or by searching. It then calculates summary statistics (mean, median, std, etc.) for each component of the NEWS score.

Parameters:

  • current_pat_client_id_code (str) – The client ID code of the patient.

  • target_date_range (Tuple) – A tuple representing the target date range.

  • pat_batch (pd.DataFrame) – The DataFrame containing patient data for batch mode.

  • config_obj (Optional[object]) – Configuration object with settings like batch_mode and client_idcode_term_name. Defaults to None.

  • cohort_searcher_with_terms_and_search (Optional[Callable]) – The function for cohort searching. Defaults to None.

Returns:

A DataFrame containing NEWS features for the specified patient.

Return type:

pd.DataFrame