Merge pull request #1249 from solopku/patch-9

Add the diabetic readmission prediction application

examples/healthcare/application/Diabetic_Readmission_Prediction/README.md

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+
+# Singa for Diabetic Readmission Prediction task
+
+## Diabetic Readmission
+
+Diabetic readmission is a significant concern in healthcare, with a substantial number of patients being readmitted to the hospital within a short period after discharge. This not only leads to increased healthcare costs but also poses a risk to patient well-being.
+
+Although diabetes is a manageable condition, early identification of patients at high risk of readmission remains a challenge. A reliable and efficient predictive model can help identify these patients, enabling healthcare providers to intervene early and prevent unnecessary readmissions.
+
+To address this issue, we use Singa to implement a machine learning model for predicting diabetic readmission. The dataset is from [BMC Medical Informatics and Decision-Making](https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-021-01423-y). Please download the dataset before running the scripts.
+
+
+## Structure
+
+* `data` includes the scripts for preprocessing Diabetic Readmission datasets.
+
+* `model` includes the MLP model construction codes by creating
+  a subclass of `Module` to wrap the neural network operations 
+  of each model.
+
+* `train_mlp.py` is the training script, which controls the training flow by
+  doing BackPropagation and SGD update.
+
+## Command
+```bash
+python train.py mlp diabetic
+```