Because SNOMED and ICD Codes must be treated as categories for gradient boosting The 8 main blood types (A+, A-, B- rare, B+, O+, O- universal, AB+, AB-) are categories. If I used label encoding then each category becomes integer (e.g A+ =0, B-=1, AB+=2). This is compact but introduces a false ordering and the… Continue reading Using CatBoost.ai in Healthcare
I've been playing with various ML training tools and different monitoring and operations tools. I've been unsure if it's one size fits all (e.g. langsmith or mlflow) or whether certain tools are more proportionate for the need. I haven't gone into licencing costs but for each ML Type, I have put together a list of… Continue reading MLOps Toolsets for Different ML Types
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