Model Suggestions for Real Life local Hospital Data

bake_betty

I'm doing a machine learning project and was looking for suggestions. It's meant to get the date, household, age, sex, doctor, date of the medical appointment, and type of medical appointment of a patient in order to predict whether he will actually attend the appointment or not (many simply don't show up, without any further notice). The data set consists of around 26000 people. I'm new to ML, and I was wondering if it makes sense to build an...

Originally asked by 2 False on Stack Exchange (ai) (CC BY-SA 4.0).

uphilltech

Great question — answering as the UphillTech team:

The model you're using is not telling the entire story. Lets briefly describe some approaches you should consider: The Data itself In most cases, working on the data itself may be more important than choosing the right model to train. how descriptive are the features? can you use dummy variables on some of your textual features? Are you working with balanced data? or perhaps $90\%$ of it is instances of "patient did now show up" . If so, can you add more samples? can you remove samples? is augmented data relevant to your case? do you have features in the form of free text? perhaps you can convert those to meaningful features using (for example) Word2Vec Evaluating your model In terms of the...

Full answer by Hadar Sharvit: https://ai.stackexchange.com/a/37191 (CC BY-SA 4.0).

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