The role of a Data Scientist, in general, is to convert raw data into actionable insights by understanding the purpose of a business. Just like that, a data scientist working in healthcare is supposed to solve problems with data generated by healthcare organizations. For example, a hospital may need a data scientist to research for improving the quality of the treatment by reducing the costs. So, if you want to become a Data Scientist in healthcare, your first step should be to learn how to work with data, then you should work on data science use cases in healthcare. So if you are looking for data science project ideas on healthcare, this article is for you. In this article, I will take you through some amazing data science project ideas on healthcare that you should try.
Data Science Project Ideas on Healthcare
Smartwatch Data Analysis
Smartwatches come with technologies to track your fitness activities. The insights these watches shows about your health are not 100% accurate but still accurate enough to trust them. Some smartwatches like Apple Watch are so accurate that they can even predict that the person who is wearing the watch is about to get a heart attack. So smartwatch data analysis will be an amazing project idea to show a use case of data science in healthcare in your resume. You can get some amazing ideas for smartwatch data analysis from here.
Heart Failure Prediction
Almost 17.9 million deaths are reported worldwide due to cardiovascular diseases. Heart failure is one of the common problems caused by cardiovascular diseases. It’s one of the reasons why heart failure prediction is one of the most popular use cases in the data science community. Here you have a huge dataset of 12 features that can be used to predict whether a person is likely to have heart failure or not. You can find many ideas for this data science project here.
Depression, Anxiety, and Stress Prediction
Depression means feeling low most of the time, anxiety is a feeling of fear that something bad is about to happen, and stress means feeling pressured for a long time. It is a difficult task for healthcare professionals to determine how someone they have just met is feeling. This is why the Depression, Anxiety and Stress Scales (DASS) is used.
DASS is a series of questions about a person’s mental health whose answers can help healthcare professionals determine how a person is feeling. The same 172-question dataset with over 40,000 responses is available on Kaggle. This dataset can be used to train predictive models to determine how a person is feeling. You can get ideas on this project along with the dataset from here.
So these were some of the best data science project ideas on healthcare. If you want to become a Data Scientist in the healthcare domain, your first step should be to learn how to work with data, and then you should work on data science projects in healthcare. I hope you liked this article on data science project ideas on healthcare. Feel free to ask your valuable questions in the comments section below.