{"title":"Analysis of Supervised Machine Learning Techniques for Diagnosis of Disease of Infant Baby","authors":"","doi":"10.46501/ijmtst0706002","DOIUrl":null,"url":null,"abstract":"A system for monitoring an infant's health is developed and described in this paper. In this system, smoke\ndetector, sound sensor, temperature and humidity sensor, are interfaced with the controller Node\nMCU-ESP8266. In the system, ThingSpeak Cloud is used for the data processing. ThingSpeak Cloud is\nconnected to the Wi-Fi based microcontroller. The behavior and the problems that are being detected can be\neasily notified to the parents apart from the doctors and nurses, So, that even the nurses or the doctors\nmisses out by chance, the parents can handle the scenario. The collected data can be taken out as in the form\nof the csv format. This data can be easily put into the Machine Learning Model in order to predict the various\nproblems that a baby might be suffering from. These predictions have been done solely upon the data\ncollected from the individual baby. Furthermore, separate system-based report would be facilitated by the\nmodel itself","PeriodicalId":13741,"journal":{"name":"International Journal for Modern Trends in Science and Technology","volume":"158 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Modern Trends in Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46501/ijmtst0706002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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
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