Update readme.md

readme.md

@@ -52,8 +52,8 @@ Replace the `<variable>` placeholders with the corresponding values specific to
 - `predW` (integer): Specifies the prediction window. Valid values depend on the task:
   - For Phenotype, Length of Stay, or Readmission tasks: 0
   - For Mortality task: Between 2 and 8 (inclusive)
-- `diagnosis`, `output`, `chart`, `proc`, `meds` (boolean): Specifies whether to include each respective flag. Valid values: True or False.
-- `disease_filter` (string): Specifies the disease filter. Valid values:
+- `diagnosis`, `output`, `chart`, `proc`, `meds` (boolean): Specifies whether to include each respective feature. Valid values: True or False.
+- `disease_filter` (string): Specifies the disease filter if focusing on a cohort with a specific chronic disease. Valid values:
   - Heart Failure
   - COPD
   - CKD
@@ -64,7 +64,7 @@ Replace the `<variable>` placeholders with the corresponding values specific to
   - Convert ICD-9 to ICD-10 and group ICD-10 codes
   - Keep both ICD-9 and ICD-10 codes
   - Convert ICD-9 to ICD-10 codes
-- `select_diag`, `select_med`, `select_proc`, `select_out`, `select_chart` (boolean): Specifies whether to select each respective option. Valid values: True or False.
+- `select_diag`, `select_med`, `select_proc`, `select_out`, `select_chart` (boolean): Specifies whether to do features selection as describe in 'https://github.com/healthylaife/MIMIC-IV-Data-Pipeline' benchmark. Valid values: True or False.
 - `outlier_removal` (string): Specifies the outlier removal method. Valid values:
   - No outlier detection
   - Impute Outlier (default:98)
@@ -107,3 +107,4 @@ Feel free to modify the values to fit your specific requirements.
 Provide the full path of your configuration file while calling the loading dataset function with the parameter config_path=`<path_to_config_file>`.
 To use the `check_config` function, pass the task name and the path to your configuration file as arguments:
 
+For more understanding of the configuration please refer to 'https://github.com/healthylaife/MIMIC-IV-Data-Pipeline'.