Kaggle’s Medical Competition Summary

I hope to broaden the range of medical AI utilization by knowing cases where machine learning is actually used in the competition of kaggle.

Kaggle’s Medical Competition Summary

Knowledge at kaggle of machine learning competition is useful even in the field of actual data science. 
So I summarized the competition which is likely to be related to medical care this time. 
Depending on the competition, there should be something useful for other things with a similar idea, so I would like to help create a good medical system AI system. 
There may be differences in interpretation and there may be places where the actual content and my commentary are different, but please pardon me.

Knowledge at kaggle of machine learning competition is useful even in the field of actual data science. 
So I summarized the competition which is likely to be related to medical care this time.

2018 Data Science Bowl
Perform automatic detection of nucleus from images.

Cervical Cancer Screening Predicts
those who do not undergo screening for cervical cancer.

Intel & MobileODT Cervical Cancer Screening
To identify appropriate cervical cancer treatment to identify cervical type.

Personalized Medicine: Redefining Cancer Treatment
Discover cells that are mutating in cancer.

Data Science Bowl 2017
Lung cancer detection from images.

Melbourne University AES / MathWorks / NIH Seizure Prediction Prediction
of the occurrence timing of epileptic seizures.

Second Annual Data Science Bowl
Measure the volume of the heart using MRI to find heart disease.

Diabetic Retinopathy Detection To
predict diabetic retinopathy to prevent blindness in diabetes.

West Nile Virus Prediction
We know what mosquitoes take in town to prevent malaria, so we can efficiently distribute pesticides. This time we predict where the mosquitoes acquire malaria virus.

It seems likely there will be other competitions if you search, but this is the only thing that was found.

In case

Finally

Depending on the competition, there should be something useful for other things with a similar idea, so I would like to help make a good medical system AI system. 
There may be differences in interpretation and there may be places where the actual content and my commentary are different, but please pardon me. 
Knowledge at kaggle of machine learning competition is useful even in the field of actual data science. 

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