Healthcare ML Resources

Last Updated: July 7, 2023

I enjoyed doing Healthcare ML a lot! And to create real useful ML applications in healthcare, understanding the data and having some domain knowledge is very important (I disagree with how some view ML/DL as a magic turnkey, one-size-fits-all solution). Below are some resources I find very useful from the trenches of healthcare ML research. This is by no means an exhaustive list and there is so much to learn in the domain of healthcare if you wish to become a successful data scientist/ML researcher!

EHR - related

National Library of Medicine

Health IT https://www.nlm.nih.gov/healthit/index.html

UMLS

https://www.nlm.nih.gov/research/umls/index.html

ICD code

ICD code conversion https://www.icd10data.com/Convert

ICD Tools (such as ICD-10-CM CSS) https://hcup-us.ahrq.gov/datainnovations/icd10_tools.jsp

ICD-9-CM CSS: https://hcup-us.ahrq.gov/toolssoftware/ccs/ccs.jsp

HCPCS

CPT and HCPCS CMS

Data

EHR

MIMIC - https://mimic.mit.edu/
eICU - https://eicu-crd.mit.edu/

Imaging

ADNI - https://adni.loni.usc.edu/

Courses at CMU / Online

02718 Computational Medicine - by Prof. Wei Wu at CMU
Machine Learning for Healthcare - by Prof. Edward Choi at KAIST (Youtube)
Deep Learning for Healthcare Specialization - by Prof. Jimeng Sun at UIUC (Coursera)
AI in Healthcare Specialization by Stanford University (Coursera)
AI for Medicine Specialization by DeepLearning.AI (Coursera)