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{
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    "NLP project ideas: \n",
    "\n",
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    "Article used the same data set MIMIC-III to evaluate the ICD9 code assignment of RNNs and CNNs. https://github.com/lsy3/clinical-notes-diagnosis-dl-nlp \n",
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    "\n",
    "GitHub seems to provide code and cleaned data sets.  \n",
    "\n",
    " Paper: https://arxiv.org/pdf/1802.02311v2.pdf \n",
    "\n",
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    "\n",
    "MIMIC-III: https://paperswithcode.com/dataset/mimic-iii \n",
    "\n",
    "Link to data: \n",
    "\n",
    "MIMIC- III: https://uab.box.com/s/pjf41j05n33wjktu93p98vla3mfvhjwu \n",
    "\n",
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    "\n",
    "Using the resources from the GitHub project to assign ICD9 code using different multi-label text classification models  \n",
    "\n",
    "Is it possible to optimize their models? \n",
    "\n",
    "Prediction models using the ICD9 codes with covariates (insurance type, gender*, ethnicity, marital status, admission type) to see what are the top ICD codes that are associated with prolonged length of stay. https://towardsdatascience.com/predicting-hospital-length-of-stay-at-time-of-admission-55dfdfe69598 \n",
    "\n",
    "Compare the prediction models of different multi-label text classification models, and see if the results are agreed across models \n",
    "\n",
    " \n",
    "| Task | Assigned To | Deadline|\n",
    " ------|-------------|----------\n",
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    "| Run the CNN and RNN models, refer to the GitHub link above| Zaid & Chia | 11/15|\n",
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    "|------|\n",
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    " "
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