Human Activity Recognition Using Pharma Machine Learning and IoT Devices, Part II

Decision Trees

As mentioned in my previous exert, I will be delving further into the complexity of the algorithm I used in my study. Following some research into decision trees and the impact they have had on healthcare and pharma I found that their presence has been assisting across the field since the early 90’s in the form of Evidence Based Medicine (EBM). The stages detailed in this process where summarised to:


Human Activity Recognition Using Machine Learning & iOT Devices, Part I


Coming from a background in computer science, I was familiar with Machine Learning and its capabilities although admittedly I had never considered the impact it could have on the world of healthcare.  Subsequent to joining the team here at RxDataScience, I was tasked with implementing a decision tree, in order to detect what activity a person, in a room was undertaking using data collected via a radio frequency identification tag and sensors mounted in corners of the room.