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Example notebook with list of Datasets (sunlabuiuc#616)
* notebook with lists of datasets * reviewed all datasets more carefully * updated tutorials.rst
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.gitignore

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leaderboard/rtd_token.txt
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# locally pre-trained models
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pyhealth/medcode/pretrained_embeddings/kg_emb/examples/pretrained_model
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pyhealth/medcode/pretrained_embeddings/kg_emb/examples/pretrained_model
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data/physionet.org/

docs/tutorials.rst

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`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>`_
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`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>`_
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`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>`_
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The following tutorials will help users build their own task pipelines. `[Video] <https://www.youtube.com/watch?v=GGP3Dhfyisc&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=12>`_
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Data Access Guide
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=======================
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For information on how to access and download the datasets supported by PyHealth, please refer to our `Datasets Overview Notebook <https://github.com/sunlabuiuc/PyHealth/blob/main/examples/datasets_overview.ipynb>`_.
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Additionally, for detailed tutorials on accessing PhysioNet and MIMIC datasets, see the `Getting MIMIC access` section of the `DL4H course instructions <https://docs.google.com/document/d/1NHgXzSPINafSg8Cd_whdfSauFXgh-ZflZIw5lu6k2T0/edit?tab=t.5pba851jxeg6>`_.
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Tutorials on Building Task Pipelines
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=========================================
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The following tutorials will help users build their own task pipelines. `[Video] <https://www.youtube.com/watch?v=GGP3Dhfyisc&list=PLR3CNIF8DDHJUl8RLhyOVpX_kT4bxulEV&index=12>`_
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`Pipeline 1: Chest Xray Classification <https://colab.research.google.com/drive/18vK23gyI1LjWbTgkq4f99yDZA3A7Pxp9?usp=sharing>`_

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