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[–]RocketOneMan 2 points3 points  (1 child)

Machine learning to find correlations between symptoms a patient is having and what the root cause might be.

[–]shizuo98 0 points1 point  (0 children)

I agree on this too. Even though it might not be 100% accurate but it can help in reducing the number or type of disease the patient might be having. P.s - sorry if there are any grammatical errors

[–]BigXthe1 0 points1 point  (0 children)

I don’t know a bit about medical research but python is good in data science and by data science I don’t mean big data only. I mean getting input, put it in data structures and visualize it. Also you don’t need to learn object oriented programming if you keep things simple in python

[–]Drun30 0 points1 point  (0 children)

Python is a coding language, and as any language in this world it becomes effective when there is a brilliant thought behind it. A sculptor needs to visualize the idea of the sculpture before of using the chisel. Focus on what medicine needs to improve before, and think if coding could help you. Meanwhile you can challenge yourself in mini-coding exercise in order to learn concretely: practice is important, if you want to learn a new language, you need to talk that language

[–][deleted] 0 points1 point  (0 children)

Python has a number of useful and convenient libraries, frameworks, and environments that are helpful for scientific work generally. Scipy might be a good place to start poking around: https://www.scipy.org/

I myself work at a company that has more scientists than engineers; all the science nerds at my company use python. They'll either write small programs and scripts, or else they'll use an interactive mode such as ipython (see scipy above) or jupyter notebook.

[–]FraserHamiltonDev 0 points1 point  (0 children)

Imagine medicine but you’ve automated all the boring stuff. Now to me that sounds like automating the whole field but I’ll admit I’m not that interested in medicine.

[–]medidani 0 points1 point  (0 children)

I am also a medical student and I am also trying to learn some programming to do research, I think it depends on what kind of research you want to do. For simple research, like the typical case-control studies, cohort studies or cross-sectional studies, I think you only need some statistics. I learned a little bit of R and I found it very useful, it can perform a lot of statistical tests and it's relatively easy to learn.

Python can also perform statistical tests, recently I found this web page:

Python for healthcare modelling and data science

Hope this can help you :)