Assessment of Flood Occurrence Potential using Data Mining Models Support Vector Machine, Chaid and Random Forest (Case study: Frizi watershed)

The chi-squared automatic interaction detector (CHAID) algorithm is considered to be one of the most used supervised learning methods as it adaptable solving any kind problem at hand. We are keenly aware non-linear relationships among CHAID maps, and they can empower predictive models with stability. However, we do not precisely know how high its accuracy. To determine perfect scope fits into, ...

Proposed Method for Predicting COVID-19 Severity in Chronic Kidney Disease Patients Based on Ant Colony Algorithm and CHAID

The air quality index (AQI) can be described using different pollutant indices. Many investigators study the effect of stock prices and in field to show if there is a relationship between changing market concentration various pollutants. This aims find Saudi Tadawul All Share Index (TASI) multiple pollutants, including particulate matter (PM10), ozone (O3), nitrogen dioxide (NO2), sulfur (SO2),...

OBJECTIVE To determine the relationship between PaCO2 in the first 4 days of life and neurodevelopment at 18 to 22 months. STUDY DESIGN Stepwise regression and exhaustive CHAID (Chi-squared Automatic Interaction Detector) analyses were done for neurodevelopmental impairment (NDI), mental developmental index (MDI), and psychomotor developmental index (PDI) using clinical variables in combinati...

Recommender systems are usually regarded as an important marketing tool in the e-commerce. They use important information about users to facilitate accurate recommendation. The information includes user context such as location, time and interest for personalization of mobile users. We can easily collect information about location and time because mobile devices communicate with the base statio...