add model card

README.md

@@ -11,14 +11,14 @@ datasets:
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 ## Model information:
-scibert-scivocab-uncased model finetuned using radiology reports in MIMIC-III. The task performed was to establised if various BERT models could classify MIMIC-III radiology report texts based upon two classes. Labels of [0,1] were assigne to radiology reports assocaited with an ICD9 Codes linked to a lung cancer  diagnosis = 1 and a random sample of reports which were not linked to any type of cancer diagnosis at all = 0. 
+scibert-scivocab-uncased model finetuned using radiology reports from the MIMIC-III database. The finetuning task performed was to establised if various BERT models could classify MIMIC-III radiology report texts based upon two classes. Labels of [0,1] were assigned to radiology reports linked to an ICD9 diagnosis codes for lung cancer = 1 and a random sample of reports which were not linked to any type of cancer diagnosis code at all = 0. 
 
 ## Intended uses:
-This model is intended to be used for named entity recoginition tasks. The model will identify disease entities in text.  The model will predict lables based upon the MIMIC-III dataset, please see the dataset information for details.
+This model is intended to be used for to classify texts to identify the presence of lung cancer.  The model will predict lables of [0,1] based upon the ICD9 codes for lung cancer found in the MIMIC-III database, please see the dataset information for details.
 
 ## Limitations:
 Note that the dataset and model may not be fully represetative or suitable for all needs it is recommended that the paper for the dataset and the base model card should be reviewed before using the model - 
-- [MIMIC-III](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3951655/pdf/nihms557856.pdf)
+- [MIMIC-III](https://www.nature.com/articles/sdata201635.pdf)
 - [scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased)