Introduction
Patient data can be collected and stored for diagnosis, risk analysis and predictions
Topic
Medical field can be a good place to use machine learning models and algorithms. We can store the different parameters of a patient such as age, weight, height, sex, smoking, drinking habits, Blood pressure and other different parameters such as blood sugar level etc. Also diseases treated or experienced can be saved for statistics.
Based on these dataset, we can come up with the statistics of which agegroup, sex or people with smoking or drinking habits are susceptible to diseases. This can also be useful in recommending medicines, predicting re-admissions and identifying high risk patients.
Points of Interest
Medical field is ever improving with the increasing technology and treatments being used for patients. Usage of Machine learning techniques can be helpful in diagnosing and treating patient ailments.
History
Keep a running update of any changes or improvements you've made here.
