Analyzing Diet with Exploratory Data Analysis
Usecase in Healthcare Data Intelligence
Analyzing the diet intake to monitor the calorie and cholesterol counts will help an individual and the healthcare providers in analyzing the individual’s risk to face certain severe or fatal diseases. Healthcare providers can predict the occurrence of diseases related to heart, blood pressure, cancer, kidneys, etc. The common factor for such diseases being obesity, where the cholesterol levels are high, it becomes crucial to analyze the diet and the extent to which the diet impacts the cholesterol and calorie levels.
We performed an exploratory data analysis to study the calories and cholesterol levels before and after following a particular diet for six weeks to determine if a specific diet pattern will influence the cholesterol levels.
To know how Qualetics gives an effective solution, download the full usecase.
About Qualetics Data Machines
Data Analytics and Artificial Intelligence is growing to be an ubiquitous need in the modern enterprise ecosystem. The need for Analytics is ranging from basic Descriptive and Diagnostic Analytics to advanced Predictive, Prescriptive and Cognitive Analytics. However, the barrier of entry is high due to expensive infrastructure and highly skilled resource requirements.
Qualetics Data Machines Inc. aims to eliminate this barrier by introducing a product that makes it easy for businesses to embrace data science and gain data intelligence.