Medical care with data science
Data Science proves invaluable for improving the living outcomes for its ability to automate much of the work - in a fast, flexible and precise manner. In this case of the emergency services, big data gathered from medical records of patients - diagnosis, treatment plans, dose of the drug and many more pieces of information that individually may not seem significant, but in general can paint the big picture, which could lead to new ways to save lives. The amount of data that the human body produces daily amounts to two terabytes. Thanks to advances in technology, we can now collect the greater part, including information about heart rate, sleep patterns, blood glucose levels, stress levels, and even brain activity. Equipped with such an amount of health data, scientists are pushing the boundaries of health monitoring.
Also, the machine learning algorithms can be used to detect and monitor more common conditions such as heart or respiratory diseases. Collection and analysis of heart rate and breathing patterns, the technology can detect the slightest changes in health indicators of the patient and to predict possible disruptions. Imagine you’re a doctor treating a patient with cancer. In the past, you might have based your treatment plan on the results of double-blind studies. These studies may have been rigorous, but they may have failed to take patient differences into account. Now with professional knowledge we can merge and analyze data sets from: clinical trials, direct observations of other physicians, electronic medical records, online patient networks and more. While data science provides tools and methods to extract real value from unstructured patient information later contributes to health care more efficient, affordable and personalized. Of course, prevention is always better than cure.