wuguo5982 / Big_Data_Healthcare_Analytics

Projects of Healthcare and related ML/AI:

1. Machine learning models
2. Deep Learning
3. Computer vision
4. NLP and LLMs
5. MLOps

Note: If you're interested in the details of important projects involving large Healthcare

datasets, please refer to my private github repository (Big Data for Healthcare).

1. Data sources:
   Include Electronic Health Record (EHR), clinical dataset, and others relevant sources.
2. Project objectives:
   a). Predict mortality risk using various methods.
   b). Identify diseases, including different types of Diabetes.
   
3. Data engineering:
   (a). Utilize Hadoop (including MapReduce, HIVE, and Pig).
   (b). Leverage Apache Spark (Scala, RDD).
   
4. Modeling:
   a). Implement various machine learning/deep learning models.
   b). Utilize MLlib and more...