The paper presents the results of determining spawning grounds some fish species in Nha Trang bay MPA, which were sampled 9/2018, 11/2018, 5/2019 and 7/2019. analysis are based on distribution general density developmental stages, decision trees from egg density, location stations months by CHAID (Chi-square Automatic Interaction Detector), allowing a relatively accurate estimate ground red anc...

In this paper, we compare three different machine learning techniques for predicting length of stay (LOS) in Pennsylvania Federal and Specialty hospitals. Using the real-world data on 88 hospitals, we compare the performances of three different machine learning techniques—Classification and Regression Tree (CART), Chi-Square Automatic Interaction Detection (CHAID) and Support Vector Regression ...

One of the biggest problems of SMEs is their tendencies to financial distress because of insufficient finance background. In this study, an early warning system (EWS) model based on data mining for financial risk detection is presented. CHAID algorithm has been used for development of the EWS. Developed EWS can be served like a tailor made financial advisor in decision making process of the fir...

With an exponentially increasing amount of astronomical data, the complexity and dimension of astronomical data are likewise growing rapidly. Extracting information from such data becomes a critical and challenging problem. For example, some algorithms can only be employed in the low-dimensional spaces, so feature selection and feature extraction become important topics. Here we describe the di...

Random forests are a popular classification method based on an ensemble of a single type of decision trees from subspaces of data. In the literature, there are many different types of decision tree algorithms, including C4.5, CART, and CHAID. Each type of decision tree algorithm may capture different information and structure. This paper proposes a hybrid weighted random forest algorithm, simul...

Objective: This study aims to evaluate the effects of COVID-19 process and measures taken on fatigue, anxiety depression levels in individuals, factors that may cause this effect. 
 Methods: The is cross-sectional type. A total 281 participants who applied pandemic outpatient clinic were included study. Data collection form with 27 questions Hospital Anxiety Depression Scale (HADS) 14 used...

the rapid growing of information technology (it) motivates and makes competitive advantages in health care industry. nowadays, many hospitals try to build a successful customer relationship management (crm) to recognize target and potential patients, increase patient loyalty and satisfaction and finally maximize their profitability. many hospitals have large data warehouses containing customer ...

email marketing is increasingly recognized as an effective internet marketing tool. in this study, a questionnaire is constructed and distributed to a sample of 146 prospects of aditi technologies to find the factors associated with higher response rates. the collected data is analyzed using factor analysis and the 11 factors, from line, subject line, personalization of the subject line, timing...