| Popis: |
There are massive amounts of medical data being collected by healthcare facilities, which offer an opportunity to use them for the improvement of patient safety. The application of Machine Learning tools on such data can lead to a greater understanding of the patterns as well as increased accuracy in diagnosing patients. Moreover, wearable devices are used to collect patients' data such as heart rate, skin temperature, and step count to provide insight on patient's health. However, using machine learning in areas such as healthcare may be hindered due to some challenges. To shed light on such applications, this paper reviews some of the Machine Learning applications in a patient safety context. Additionally, this paper discusses the adoption of machine learning predictive algorithms and wearable devices as well as social and legal challenges associated with this adoption. |
