ML4H Submission Final: Code + Experiment Run Results

.github/workflows/pr_contribution_rules.yml

@@ -0,0 +1,33 @@
+name: PR Contribution Rules
+
+on:
+  pull_request:
+    types: [opened, synchronize, reopened]
+
+jobs:
+  contribution-rules:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: Fetch PR base and head commits
+        run: |
+          git fetch origin ${{ github.event.pull_request.base.sha }} --depth=1
+          git fetch origin ${{ github.event.pull_request.head.sha }} --depth=1
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.13'
+
+      - name: Install ruff
+        run: pip install 'ruff~=0.15'
+
+      - name: Check PR contribution rules
+        run: |
+          python tools/check_pr_rules.py \
+            --base ${{ github.event.pull_request.base.sha }} \
+            --head ${{ github.event.pull_request.head.sha }}

.gitignore

@@ -137,6 +137,21 @@ data/physionet.org/
 
 # VSCode settings
 .vscode/
+.codex
 
 # Model weight files (large binaries, distributed separately)
-weightfiles/
+weightfiles/
+
+# Local / personal (never commit)
+CLAUDE.local.md
+.claude/settings.local.json
+
+# Local test fixtures (download separately; not part of the repo)
+test-resources/core/chestxray14/
+test-resources/meds_demo/
+
+# Local Python environments (not .venv — that pattern is already ignored)
+.venv312/
+
+# Tool caches
+.ruff_cache/

CONTRIBUTING.md

@@ -57,6 +57,24 @@ is set to 88 characters. We follow
 the [Google style](https://google.github.io/styleguide/pyguide.html#38-comments-and-docstrings)
 for docstrings.
 
+## PR Contribution Rules (enforced in CI)
+
+Any pull request that modifies a file under `pyhealth/` must also:
+
+- Update at least one file under `docs/` and one file under `examples/`.
+- Keep newly added/modified lines free of [ruff](https://docs.astral.sh/ruff/)
+  lint violations (`ruff check`, 88-char line length). Pre-existing lint
+  issues elsewhere in a touched file are not blocked.
+- Give every new or modified top-level public class/function a `>>>` usage
+  example in its docstring, so it renders as example code in the API docs.
+
+These rules are checked by `.github/workflows/pr_contribution_rules.yml`,
+which runs `tools/check_pr_rules.py`. You can run the same check locally:
+
+```bash
+python tools/check_pr_rules.py --base <base_sha> --head HEAD
+```
+
 ## Community
 
 We welcome you to join our community

README.rst

@@ -354,23 +354,23 @@ Module 5: <pyhealth.metrics>
 
  We provide the following tutorials to help users get started with our pyhealth. Please bear with us as we update the documentation on how to use PyHealth 2.0.
 
-`Tutorial 0: Introduction to pyhealth.data <https://colab.research.google.com/drive/1y9PawgSbyMbSSMw1dpfwtooH7qzOEYdN?usp=sharing>`_  `[Video] <https://www.youtube.com/watch?v=Nk1itBoLOX8&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=2>`__
+`Tutorial 0: Introduction to pyhealth.data <https://colab.research.google.com/drive/17nOzjIjKiAbC8bsntZ3h9xy2Vq4bKpuv?usp=sharing>`_  `[Video] <https://www.youtube.com/watch?v=Nk1itBoLOX8&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=2>`__
 
-`Tutorial 1: Introduction to pyhealth.datasets <https://colab.research.google.com/drive/1voSx7wEfzXfEf2sIfW6b-8p1KqMyuWxK?usp=sharing>`_  `[Video (PyHealth 1.16)] <https://www.youtube.com/watch?v=c1InKqFJbsI&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=3>`__
+`Tutorial 1: Introduction to pyhealth.datasets <https://colab.research.google.com/drive/1vI_oljc7rU5ocsC26ITM7HUgD5SGZkFE?usp=sharing>`_  `[Video (PyHealth 1.16)] <https://www.youtube.com/watch?v=c1InKqFJbsI&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=3>`__
 
-`Tutorial 2: Introduction to pyhealth.tasks <https://colab.research.google.com/drive/1kKkkBVS_GclHoYTbnOtjyYnSee79hsyT?usp=sharing>`_  `[Video (PyHealth 1.16)] <https://www.youtube.com/watch?v=CxESe1gYWU4&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=4>`__
+`Tutorial 2: Introduction to pyhealth.tasks <https://colab.research.google.com/drive/1QB0acnGb-wOuK53UNSgHxjCW74QeYjUl?usp=sharing>`_  `[Video (PyHealth 1.16)] <https://www.youtube.com/watch?v=CxESe1gYWU4&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=4>`__
 
-`Tutorial 3: Introduction to pyhealth.models <https://colab.research.google.com/drive/1LcXZlu7ZUuqepf269X3FhXuhHeRvaJX5?usp=sharing>`_  `[Video] <https://www.youtube.com/watch?v=fRc0ncbTgZA&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=6>`__
+`Tutorial 3: Introduction to pyhealth.models <https://colab.research.google.com/drive/1cUTSfFL1wLUXDBtJGTAWntolvcmxrDGo?usp=drive_link>`_  `[Video] <https://www.youtube.com/watch?v=fRc0ncbTgZA&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=6>`__
 
-`Tutorial 4: Introduction to pyhealth.trainer <https://colab.research.google.com/drive/1L1Nz76cRNB7wTp5Pz_4Vp4N2eRZ9R6xl?usp=sharing>`_  `[Video] <https://www.youtube.com/watch?v=5Hyw3of5pO4&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=7>`__
+`Tutorial 4: Introduction to pyhealth.trainer <https://colab.research.google.com/drive/1up_SL0BxxHPO9pmjKQ98w1GbpiB7LySp?usp=drive_link>`_  `[Video] <https://www.youtube.com/watch?v=5Hyw3of5pO4&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=7>`__
 
-`Tutorial 5: Introduction to pyhealth.metrics <https://colab.research.google.com/drive/1Mrs77EJ92HwMgDaElJ_CBXbi4iABZBeo?usp=sharing>`_  `[Video] <https://www.youtube.com/watch?v=d-Kx_xCwre4&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=8>`__
+`Tutorial 5: Introduction to pyhealth.metrics <https://colab.research.google.com/drive/1bO0h5BR62_kQ7zFOgzQmt5vb8jqJ0rV-?usp=drive_link>`_  `[Video] <https://www.youtube.com/watch?v=d-Kx_xCwre4&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=8>`__
 
 
-`Tutorial 6: Introduction to pyhealth.tokenizer <https://colab.research.google.com/drive/1bDOb0A5g0umBjtz8NIp4wqye7taJ03D0?usp=sharing>`_ `[Video] <https://www.youtube.com/watch?v=CeXJtf0lfs0&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=10>`__
+`Tutorial 6: Introduction to pyhealth.tokenizer <https://colab.research.google.com/drive/1jhJ11MLUafhflQAz8HSrWiOEYlIhhvc_?usp=sharing>`_ `[Video] <https://www.youtube.com/watch?v=CeXJtf0lfs0&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=10>`__
 
 
-`Tutorial 7: Introduction to pyhealth.medcode <https://colab.research.google.com/drive/1xrp_ACM2_Hg5Wxzj0SKKKgZfMY0WwEj3?usp=sharing>`_ `[Video] <https://www.youtube.com/watch?v=MmmfU6_xkYg&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=9>`__
+`Tutorial 7: Introduction to pyhealth.medcode <https://colab.research.google.com/drive/1Tw1AUS53fotH1EYr4Abp7qYN3zDBeUbC?usp=drive_link>`_ `[Video] <https://www.youtube.com/watch?v=MmmfU6_xkYg&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=9>`__
 
 
  The following tutorials will help users build their own task pipelines.

chat-assistant/corpus/pyhealth-code.txt

@@ -26786,7 +26786,7 @@ Here is the code content for tutorial_5_pyhealth_metrics.py:
 Automatically generated by Colaboratory.
 
 Original file is located at
-    https://colab.research.google.com/drive/1Mrs77EJ92HwMgDaElJ_CBXbi4iABZBeo
+    https://colab.research.google.com/drive/1bO0h5BR62_kQ7zFOgzQmt5vb8jqJ0rV-?usp=drive_link
 
 ### **Preparation**
 - install pyhealth alpha version
@@ -27611,7 +27611,7 @@ Here is the code content for tutorial_0_pyhealth_data.py:
 Automatically generated by Colaboratory.
 
 Original file is located at
-    https://colab.research.google.com/drive/1y9PawgSbyMbSSMw1dpfwtooH7qzOEYdN
+    https://colab.research.google.com/drive/17nOzjIjKiAbC8bsntZ3h9xy2Vq4bKpuv
 """
 
 !pip install pyhealth
@@ -28478,7 +28478,7 @@ test_loader = get_dataloader(test_ds, batch_size=64, shuffle=False)
 
 """### **Step 2: Select a ML model**
 - In this tutorial, we use Transformer as the example.
-- please check the [Tutorial 2](https://colab.research.google.com/drive/1LcXZlu7ZUuqepf269X3FhXuhHeRvaJX5?usp=sharing) for more instructions on how to initialize a model.
+- please check the [Tutorial 2](https://colab.research.google.com/drive/1cUTSfFL1wLUXDBtJGTAWntolvcmxrDGo?usp=drive_link) for more instructions on how to initialize a model.
 """
 
 from pyhealth.models import Transformer
@@ -28532,7 +28532,7 @@ Here is the code content for tutorial_6_pyhealth_tokenizer.py:
 Automatically generated by Colaboratory.
 
 Original file is located at
-    https://colab.research.google.com/drive/1bDOb0A5g0umBjtz8NIp4wqye7taJ03D0
+    https://colab.research.google.com/drive/1jhJ11MLUafhflQAz8HSrWiOEYlIhhvc_
 
 ### **Preparation**
 - install pyhealth alpha version
@@ -29093,7 +29093,7 @@ Here is the code content for tutorial_7_pyhealth_medcode.py:
 Automatically generated by Colaboratory.
 
 Original file is located at
-    https://colab.research.google.com/drive/1xrp_ACM2_Hg5Wxzj0SKKKgZfMY0WwEj3
+    https://colab.research.google.com/drive/1Tw1AUS53fotH1EYr4Abp7qYN3zDBeUbC?usp=drive_link
 
 ### **Preparation**
 - install pyhealth alpha version
@@ -29625,7 +29625,7 @@ Here is the code content for tutorial_3_pyhealth_models.py:
 Automatically generated by Colaboratory.
 
 Original file is located at
-    https://colab.research.google.com/drive/1LcXZlu7ZUuqepf269X3FhXuhHeRvaJX5
+    https://colab.research.google.com/drive/1cUTSfFL1wLUXDBtJGTAWntolvcmxrDGo?usp=drive_link
 
 ### **Preparation**
 - install pyhealth alpha version
@@ -30421,7 +30421,7 @@ Here is the code content for tutorial_4_pyhealth_trainer.py:
 Automatically generated by Colaboratory.
 
 Original file is located at
-    https://colab.research.google.com/drive/1L1Nz76cRNB7wTp5Pz_4Vp4N2eRZ9R6xl
+    https://colab.research.google.com/drive/1up_SL0BxxHPO9pmjKQ98w1GbpiB7LySp?usp=drive_link
 
 ### **Preparation**
 - install pyhealth alpha version
@@ -30457,7 +30457,7 @@ To initialize a trainer instance, the following environments should be specified
     - `load_best_model_at_last`: whether to load the best model during the last iteration.
 
 ### **Step 1 & 2 & 3: Prepare datasets, task, and model**
-- Example: We use **MIMIC-III dataset** and **RETAIN** model for **readmission prediction** task. Refer to [Tutorial 1](https://colab.research.google.com/drive/18kbzEQAj1FMs_J9rTGX8eCoxnWdx4Ltn?usp=sharing), [Tutorial 2](https://colab.research.google.com/drive/1r7MYQR_5yCJGpK_9I9-A10HmpupZuIN-?usp=sharing), and [Tutorial 3](https://colab.research.google.com/drive/1LcXZlu7ZUuqepf269X3FhXuhHeRvaJX5?usp=sharing).
+- Example: We use **MIMIC-III dataset** and **RETAIN** model for **readmission prediction** task. Refer to [Tutorial 1](https://colab.research.google.com/drive/18kbzEQAj1FMs_J9rTGX8eCoxnWdx4Ltn?usp=sharing), [Tutorial 2](https://colab.research.google.com/drive/1r7MYQR_5yCJGpK_9I9-A10HmpupZuIN-?usp=sharing), and [Tutorial 3](https://colab.research.google.com/drive/1cUTSfFL1wLUXDBtJGTAWntolvcmxrDGo?usp=drive_link).
 """
 
 # load dataset

chat-assistant/corpus/pyhealth-text.txt

@@ -326,23 +326,23 @@ Module 5: <pyhealth.metrics>
 
  We provide the following tutorials to help users get started with our pyhealth. 
 
-`Tutorial 0: Introduction to pyhealth.data <https://colab.research.google.com/drive/1y9PawgSbyMbSSMw1dpfwtooH7qzOEYdN?usp=sharing>`_  `[Video] <https://www.youtube.com/watch?v=Nk1itBoLOX8&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=2>`__  
+`Tutorial 0: Introduction to pyhealth.data <https://colab.research.google.com/drive/17nOzjIjKiAbC8bsntZ3h9xy2Vq4bKpuv?usp=sharing>`_  `[Video] <https://www.youtube.com/watch?v=Nk1itBoLOX8&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=2>`__  
 
 `Tutorial 1: Introduction to pyhealth.datasets <https://colab.research.google.com/drive/18kbzEQAj1FMs_J9rTGX8eCoxnWdx4Ltn?usp=sharing>`_  `[Video] <https://www.youtube.com/watch?v=c1InKqFJbsI&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=3>`__  
 
 `Tutorial 2: Introduction to pyhealth.tasks <https://colab.research.google.com/drive/1r7MYQR_5yCJGpK_9I9-A10HmpupZuIN-?usp=sharing>`_  `[Video] <https://www.youtube.com/watch?v=CxESe1gYWU4&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=4>`__  
 
-`Tutorial 3: Introduction to pyhealth.models <https://colab.research.google.com/drive/1LcXZlu7ZUuqepf269X3FhXuhHeRvaJX5?usp=sharing>`_  `[Video] <https://www.youtube.com/watch?v=fRc0ncbTgZA&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=6>`__  
+`Tutorial 3: Introduction to pyhealth.models <https://colab.research.google.com/drive/1cUTSfFL1wLUXDBtJGTAWntolvcmxrDGo?usp=drive_link>`_  `[Video] <https://www.youtube.com/watch?v=fRc0ncbTgZA&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=6>`__  
 
-`Tutorial 4: Introduction to pyhealth.trainer <https://colab.research.google.com/drive/1L1Nz76cRNB7wTp5Pz_4Vp4N2eRZ9R6xl?usp=sharing>`_  `[Video] <https://www.youtube.com/watch?v=5Hyw3of5pO4&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=7>`__  
+`Tutorial 4: Introduction to pyhealth.trainer <https://colab.research.google.com/drive/1up_SL0BxxHPO9pmjKQ98w1GbpiB7LySp?usp=drive_link>`_  `[Video] <https://www.youtube.com/watch?v=5Hyw3of5pO4&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=7>`__  
 
-`Tutorial 5: Introduction to pyhealth.metrics <https://colab.research.google.com/drive/1Mrs77EJ92HwMgDaElJ_CBXbi4iABZBeo?usp=sharing>`_  `[Video] <https://www.youtube.com/watch?v=d-Kx_xCwre4&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=8>`__ 
+`Tutorial 5: Introduction to pyhealth.metrics <https://colab.research.google.com/drive/1bO0h5BR62_kQ7zFOgzQmt5vb8jqJ0rV-?usp=drive_link>`_  `[Video] <https://www.youtube.com/watch?v=d-Kx_xCwre4&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=8>`__ 
 
 
-`Tutorial 6: Introduction to pyhealth.tokenizer <https://colab.research.google.com/drive/1bDOb0A5g0umBjtz8NIp4wqye7taJ03D0?usp=sharing>`_ `[Video] <https://www.youtube.com/watch?v=CeXJtf0lfs0&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=10>`__ 
+`Tutorial 6: Introduction to pyhealth.tokenizer <https://colab.research.google.com/drive/1jhJ11MLUafhflQAz8HSrWiOEYlIhhvc_?usp=sharing>`_ `[Video] <https://www.youtube.com/watch?v=CeXJtf0lfs0&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=10>`__ 
 
 
-`Tutorial 7: Introduction to pyhealth.medcode <https://colab.research.google.com/drive/1xrp_ACM2_Hg5Wxzj0SKKKgZfMY0WwEj3?usp=sharing>`_ `[Video] <https://www.youtube.com/watch?v=MmmfU6_xkYg&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=9>`__  
+`Tutorial 7: Introduction to pyhealth.medcode <https://colab.research.google.com/drive/1Tw1AUS53fotH1EYr4Abp7qYN3zDBeUbC?usp=drive_link>`_ `[Video] <https://www.youtube.com/watch?v=MmmfU6_xkYg&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=9>`__  
 
 
  The following tutorials will help users build their own task pipelines.
@@ -1206,21 +1206,21 @@ Tutorials
  We provide the following tutorials to help users get started with our pyhealth. 
 
 
-`Tutorial 0: Introduction to pyhealth.data <https://colab.research.google.com/drive/1y9PawgSbyMbSSMw1dpfwtooH7qzOEYdN?usp=sharing>`_  `[Video] <https://www.youtube.com/watch?v=Nk1itBoLOX8&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=2>`_ 
+`Tutorial 0: Introduction to pyhealth.data <https://colab.research.google.com/drive/17nOzjIjKiAbC8bsntZ3h9xy2Vq4bKpuv?usp=sharing>`_  `[Video] <https://www.youtube.com/watch?v=Nk1itBoLOX8&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=2>`_ 
 
 `Tutorial 1: Introduction to pyhealth.datasets <https://colab.research.google.com/drive/18kbzEQAj1FMs_J9rTGX8eCoxnWdx4Ltn?usp=sharing>`_  `[Video] <https://www.youtube.com/watch?v=c1InKqFJbsI&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=3>`_ 
 
 `Tutorial 2: Introduction to pyhealth.tasks <https://colab.research.google.com/drive/1r7MYQR_5yCJGpK_9I9-A10HmpupZuIN-?usp=sharing>`_  `[Video] <https://www.youtube.com/watch?v=CxESe1gYWU4&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=4>`_ 
 
-`Tutorial 3: Introduction to pyhealth.models <https://colab.research.google.com/drive/1LcXZlu7ZUuqepf269X3FhXuhHeRvaJX5?usp=sharing>`_  `[Video] <https://www.youtube.com/watch?v=fRc0ncbTgZA&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=6>`_ 
+`Tutorial 3: Introduction to pyhealth.models <https://colab.research.google.com/drive/1cUTSfFL1wLUXDBtJGTAWntolvcmxrDGo?usp=drive_link>`_  `[Video] <https://www.youtube.com/watch?v=fRc0ncbTgZA&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=6>`_ 
 
-`Tutorial 4: Introduction to pyhealth.trainer <https://colab.research.google.com/drive/1L1Nz76cRNB7wTp5Pz_4Vp4N2eRZ9R6xl?usp=sharing>`_  `[Video] <https://www.youtube.com/watch?v=5Hyw3of5pO4&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=7>`_ 
+`Tutorial 4: Introduction to pyhealth.trainer <https://colab.research.google.com/drive/1up_SL0BxxHPO9pmjKQ98w1GbpiB7LySp?usp=drive_link>`_  `[Video] <https://www.youtube.com/watch?v=5Hyw3of5pO4&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=7>`_ 
 
-`Tutorial 5: Introduction to pyhealth.metrics <https://colab.research.google.com/drive/1Mrs77EJ92HwMgDaElJ_CBXbi4iABZBeo?usp=sharing>`_  `[Video] <https://www.youtube.com/watch?v=d-Kx_xCwre4&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=8>`_
+`Tutorial 5: Introduction to pyhealth.metrics <https://colab.research.google.com/drive/1bO0h5BR62_kQ7zFOgzQmt5vb8jqJ0rV-?usp=drive_link>`_  `[Video] <https://www.youtube.com/watch?v=d-Kx_xCwre4&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=8>`_
 
-`Tutorial 6: Introduction to pyhealth.tokenizer <https://colab.research.google.com/drive/1bDOb0A5g0umBjtz8NIp4wqye7taJ03D0?usp=sharing>`_ `[Video] <https://www.youtube.com/watch?v=CeXJtf0lfs0&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=10>`_
+`Tutorial 6: Introduction to pyhealth.tokenizer <https://colab.research.google.com/drive/1jhJ11MLUafhflQAz8HSrWiOEYlIhhvc_?usp=sharing>`_ `[Video] <https://www.youtube.com/watch?v=CeXJtf0lfs0&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=10>`_
 
-`Tutorial 7: Introduction to pyhealth.medcode <https://colab.research.google.com/drive/1xrp_ACM2_Hg5Wxzj0SKKKgZfMY0WwEj3?usp=sharing>`_ `[Video] <https://www.youtube.com/watch?v=MmmfU6_xkYg&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=9>`_ 
+`Tutorial 7: Introduction to pyhealth.medcode <https://colab.research.google.com/drive/1Tw1AUS53fotH1EYr4Abp7qYN3zDBeUbC?usp=drive_link>`_ `[Video] <https://www.youtube.com/watch?v=MmmfU6_xkYg&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=9>`_ 
 
 
  The following tutorials will help users build their own task pipelines. `[Video] <https://www.youtube.com/watch?v=GGP3Dhfyisc&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=12>`_