5
stars
12
forks
source link
Projects of Healthcare and related ML/AI:
- Machine learning models
- Deep Learning
- Computer vision
- NLP and LLMs
- 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).
- Data sources:
Include Electronic Health Record (EHR), clinical dataset, and others relevant sources.
- Project objectives:
a). Predict mortality risk using various methods.
b). Identify diseases, including different types of Diabetes.
- Data engineering:
(a). Utilize Hadoop (including MapReduce, HIVE, and Pig).
(b). Leverage Apache Spark (Scala, RDD).
- Modeling:
a). Implement various machine learning/deep learning models.
b). Utilize MLlib and more...