People's preferences for books exceed narrowly-defined genres, and more knowledge to compel an alteration in a user’s behavior. However, book genres are oftentimes too broad and lack proper fine-tuning to serve as an effective recommendation system. Resource Type: Project Campus Tesim: Sacramento Department: Computer Scienceĭata-driven book knowledge-base analysis with unsupervised machine learning models and recommendations Creatore: Kane, Gary Descrizione: Books are divided into statically labeled genres, which serve as a springboard for how readers choose literature. Through this tool users will be able to get insights on diabetes such as google search statistics on diabetes, average glucose level after the meal, diabetes statistics in the USA from 1980 to 2014, and in California from 2012 to 2018 on different categories such as total population, ethnicity, age, income, other characteristics on reversing diabetes, reversing diabetes through intermittent fasting by comparing blood glucose numbers (HbA1c), waist circumference and weight before and after someone starts intermittent fasting and how average blood glucose, weight, and other factors affect when someone takes two meals per day (Intermittent Fasting) versus six meals per day with the help of interactive visualizations (graphs and charts). For example, if a medical provider wants to educate their patients about diabetes reversal options, this tool will become handy to deliver a basic idea. The tool will be interactive and will also focus on providing users a required glimpse of diabetes reversal through intermittent fasting.
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This tool can also be used by anyone who wants to explore diabetes statics and how to reverse diabetes. To obtain more insights on how intermittent fasting impacts peoples with diabetes, I present an interactive summary webpage/tool aimed to give a basic knowledge and awareness to people with diabetes to motivate themselves to reverse diabetes and to get rid of medicines. The form of analysis is through interactive visual exploratory dashboards as a summary webpage/tool/GUI to understand how intermittent fasting and other factors affect reversing diabetics using visual data analysis tools such as Tableau and D3.js to create visualizations and integrated them using JavaScript and bootstrap and then hosted in GitHub. Therefore, this project is about researching and analyzing more on the relationship between diabetics and intermittent fasting data sets to explore the impact of intermittent fasting on people with diabetes. This form of dieting may reverse diabetes based on several kinds of research. Obtaining insights into how intermittent fasting affects people with type 2 diabetes through interactive visual dashboards Creatore: Thasma Lakshmanan Balajibabu, Reka Supraja Descrizione: Many Americans are prediabetic or diabetic and are trying to control their diet using intermittent fasting.
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