Analysis of Supervised Machine Learning Techniques for Diagnosis of Disease of Infant Baby
A system for monitoring an infant's health is developed and described in this paper. In this system, smoke detector, sound sensor, temperature and humidity sensor, are interfaced with the controller Node MCU-ESP8266. In the system, ThingSpeak Cloud is used for the data processing. ThingSpeak Cloud is connected to the Wi-Fi based microcontroller. The behavior and the problems that are being detected can be easily notified to the parents apart from the doctors and nurses, So, that even the nurses or the doctors misses out by chance, the parents can handle the scenario. The collected data can be taken out as in the form of the csv format. This data can be easily put into the Machine Learning Model in order to predict the various problems that a baby might be suffering from. These predictions have been done solely upon the data collected from the individual baby. Furthermore, separate system-based report would be facilitated by the model itself