Biometrics and AI in Health Care Industry
R.Anoop Kiran, Irfan, Mohammed, Claude Amar · Zenodo (CERN European Organization for Nuclear Research) · 2018
In the present scenario, health has become a major aspect for each and every individual. From clinics to hospitals healthcare has become an important part. The number of patients waiting for a doctor is constantly increasing for even their regular medical check-up, which can be unnecessary wastage of time just to consult a doctor for simple health issues. To avoid this, automated machines can be used to diagnose a patient’s health and generate a report. But doing them at a faster rate and with high accuracy is the challenging task. Usage of machine learning here in clinical informatics and healthcare systems is becoming the near future. Biometric data can be used to retrieve a patient’s previous health records with the help of biometric security systems (which cannot be replicated or the data cannot be stolen by anyone). The biometric system can also be used with temperature detection, stress level measurement and for checking the pulse rate of our body. It can also predict a person’s health based on the shape of their face by using the technology of deep learning and facial recognition algorithms. In this paper, we discuss the use of biometrics and artificial intelligence in the field of healthcare that can diagnose a patient’s health, without them having to wait for a doctor