Data is available abundantly in today’s world. However, it is noisy most of the time. In this article, Archana Iyer discusses some filter processing techniques that can help us get a better quality of data.

With the advent of IoT, many types of medical data are now available in the form of sensor data. This data can be from wearable devices, like Fitbit, or from implanted medical devices. But like all sensor data, this data is prone to noise and misleading values.

Machine Learning, along with IoT, has enabled us to make sense of the data, either by eliminating noise directly from the dataset or by reducing the effect of noise while analyzing data.