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Update/docs landing page (#555)
* huge docs update incoming * more updates on comparisons * remove emojis * cleaning up how it looks and making it make sense * More updates to making sure things are up-to-date with the new pyhealth2 * dataset table fix + documentation icon fix * make key features section less intrusive Again terrible git practice, but no one else is working with me on this atm lol. --------- Co-authored-by: jhnwu3 <knightsofthe8@gmail.com>
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docs/index.rst

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Build, test, and deploy healthcare machine learning models with ease. PyHealth makes healthcare AI development accessible to researchers, data scientists, and medical practitioners.
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Key Features
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------------------
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**Key Features**
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- Modular 5-stage pipeline for healthcare ML
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- Healthcare-first: medical codes and clinical datasets (MIMIC, eICU, OMOP)
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- Fast (3x faster than pandas) data processing for quick experimentation
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.. image:: https://readthedocs.org/projects/pyhealth/badge/?version=latest
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.. image:: https://app.readthedocs.org/projects/pyhealth/badge/?version=latest&style=flat
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:target: https://pyhealth.readthedocs.io/en/latest/
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:alt: Documentation status
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.. image:: https://img.shields.io/readthedocs/pyhealth?logo=readthedocs&label=docs&version=latest
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:target: https://pyhealth.readthedocs.io/en/latest/
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:alt: Docs
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.. image:: https://img.shields.io/badge/Discord-Join-5865F2?logo=discord&logoColor=white
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:target: https://discord.gg/mpb835EHaX
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:alt: Discord
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:target: https://pypi.org/project/pyhealth/
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:alt: PyPI version
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.. image:: https://img.shields.io/github/stars/yzhao062/pyhealth.svg
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:target: https://github.com/sunlabuiuc/pyhealth/stargazers
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:alt: GitHub stars

docs/why_pyhealth.rst

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Work with the most important healthcare datasets out of the box:
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.. table:: **Supported Datasets**
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:widths: auto
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=================== ======================================== =======================================
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Dataset Information Year
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=================== ======================================== =======================================
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**MIMIC-III** Critical care database (40K+ patients) 2016
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**MIMIC-IV** Updated critical care database (300k+ patients) 2020
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**eICU** Multi-center ICU database 2018
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**OMOP-CDM** Standardized healthcare data format Ongoing
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**EHRShot** Few-shot EHR benchmarking dataset 2023
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**COVID19-CXR** COVID-19 chest X-ray image dataset 2020
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**SleepEDF** Sleep study recordings 2018
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**SHHS** Sleep Heart Health Study 2016
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**ISRUC** Sleep disorder database 2016
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=================== ======================================== =======================================
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.. list-table:: Supported Datasets
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:widths: 22 50 12
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:header-rows: 1
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* - Dataset
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- Information
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- Year
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* - MIMIC-III
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- Critical care database (40K+ patients)
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- 2016
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* - MIMIC-IV
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- Updated critical care database (300k+ patients)
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- 2020
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* - eICU
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- Multi-center ICU database
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- 2018
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* - OMOP-CDM
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- Standardized healthcare data format
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- Ongoing
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* - EHRShot
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- Few-shot EHR benchmarking dataset
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- 2023
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* - COVID19-CXR
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- COVID-19 chest X-ray image dataset
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- 2020
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* - SleepEDF
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- Sleep study recordings
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- 2018
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* - SHHS
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- Sleep Heart Health Study
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- 2016
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* - ISRUC
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- Sleep disorder database
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- 2016
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🤖 **Comprehensive Model Library**
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==================================

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