Update links

README.md

@@ -332,6 +332,7 @@ Finally, ACES is not tied to a particular common data model. Built on a flexible
 - Support timestamp binning for use in predicates or as qualifiers ([#44](https://github.com/justin13601/ACES/issues/44))
 - Support additional label types ([#45](https://github.com/justin13601/ACES/issues/45))
 - Allow chaining of multiple task configurations ([#49](https://github.com/justin13601/ACES/issues/49))
+- Additional predicates expansions ([#66](https://github.com/justin13601/ACES/issues/66))
 
 ### Generalizability
 

docs/source/notebooks/predicates.ipynb

@@ -71,7 +71,7 @@
    "source": [
     "## Sample Predicates DataFrame\n",
     "\n",
-    "A sample predicates dataframe is provided in the repository ([`sample_data/sample_data.csv`](https://github.com/justin13601/ACES/blob/5cf0261ad22c22972b0bd553ab5bb826cb9e637d/sample_data/sample_data.csv)). This dataframe holds completely synthetic data and was designed such that the accompanying sample configuration files in the repository ([`sample_configs/`](https://github.com/justin13601/ACES/tree/5cf0261ad22c22972b0bd553ab5bb826cb9e637d/sample_configs)) could be directly extracted."
+    "A sample predicates dataframe is provided in the repository ([`sample_data/sample_data.csv`](https://github.com/justin13601/ACES/blob/main/sample_data/sample_data.csv)). This dataframe holds completely synthetic data and was designed such that the accompanying sample configuration files in the repository ([`sample_configs/`](https://github.com/justin13601/ACES/tree/main/sample_configs)) could be directly extracted."
    ]
   },
   {
@@ -100,7 +100,7 @@
     "\n",
     "ACES is able to automatically compute the predicates dataframe from your dataset and the fields defined in your task configuration if you are using the MEDS or ESGPT data standard. Should you choose to not transform your dataset into one of these two currently supported standards, you may also navigate the transformation yourself by creating your own predicates dataframe.\n",
     "\n",
-    "Again, it is acceptable if your own predicates dataframe only contains `plain` predicate columns, as ACES can automatically create `derived` predicate columns from boolean logic in the task configuration file. However, for complex predicates that would be impossible to express (outside of `and/or`) in the configuration file, we direct you to create them manually prior to using ACES. Support for additional complex predicates is planned for the future, including the ability to use SQL or other expressions (see [#47](https://github.com/justin13601/ACES/issues/47)).\n",
+    "Again, it is acceptable if your own predicates dataframe only contains `plain` predicate columns, as ACES can automatically create `derived` predicate columns from boolean logic in the task configuration file. However, for complex predicates that would be impossible to express (outside of `and/or`) in the configuration file, we direct you to create them manually prior to using ACES. Support for additional complex predicates is planned for the future, including the ability to use SQL or other expressions (see [#66](https://github.com/justin13601/ACES/issues/66)).\n",
     "\n",
     "**Note**: When creating `plain` predicate columns directly, you must still define them in the configuration file (they could be with an arbitrary value in the `code` field) - ACES will verify their existence after data loading (ie., by validating that a column exists with the predicate name in your dataframe). You will also need them for referencing in your windows."
    ]
@@ -109,7 +109,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Example of the `derived` predicate `discharge_or_death`, expressed as an `or()` relationship between `plain` predicates `discharge` and `death, which have been directly defined (ie., arbitrary values for their codes are present).\n",
+    "Example of the `derived` predicate `discharge_or_death`, expressed as an `or()` relationship between `plain` predicates `discharge` and `death`, which have been directly defined (ie., arbitrary values for their codes, `defined in data`, are present).\n",
     "\n",
     "```yaml\n",
     "predicates:\n",