Merge pull request #1249 from solopku/patch-9

Add the diabetic readmission prediction application

Author: chrishkchris

examples/healthcare/application/Diabetic_Readmission_Prediction/README.md

@@ -0,0 +1,45 @@
+<!--
+    Licensed to the Apache Software Foundation (ASF) under one
+    or more contributor license agreements.  See the NOTICE file
+    distributed with this work for additional information
+    regarding copyright ownership.  The ASF licenses this file
+    to you under the Apache License, Version 2.0 (the
+    "License"); you may not use this file except in compliance
+    with the License.  You may obtain a copy of the License at
+
+      http://www.apache.org/licenses/LICENSE-2.0
+
+    Unless required by applicable law or agreed to in writing,
+    software distributed under the License is distributed on an
+    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+    KIND, either express or implied.  See the License for the
+    specific language governing permissions and limitations
+    under the License.
+-->
+
+# 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
+```