This research presents a categorization replica to have the discernment of the result of distinct psychological health hazard which got improved with the implementation of the replica of decision tree. Among 3000 contestants approximately for different medical analysis, we get the instruction data regarding decision tree information from the answers of the queries. It is displayed by the exploratory outcomes that the suggested replica of the decision tree can find the significant framing of conclusion which influences Clinical discernment Precision. Such conclusions framing comprising in result such as recurrence or non-recurrence for clinical physical sickness, maturity, sex, duration of psychologically physical sickness, span for having ...
<p>The starting point of the decision tree was the list of psychosocial difficulties (PSD) addressed...
International audienceBACKGROUND:Several Computerized Adaptive Tests (CATs) have been proposed to fa...
Knowledge discovery from data is an interdisciplinary research field combining technology and knowle...
This research presents a categorization replica to have the discernment of the result of distinct ps...
: This work illustrates the advantages of using machine learning classifiers in psychiatric assessme...
AIM OF THE PAPER:\ud To examine the application of the decision tree approach to collaborative clini...
Rationale, aims and objectives: Results from prediction studies are often of limited value because p...
Data mining techniques are rapidly developed for many applications. In recent year, Data mining in h...
Rationale, aims and objectives: Results from prediction studies are often of limited value because p...
Nowadays, the incidence of mental illness in the world population has been growing, so it is necessa...
In national and local level, understanding of factors associated with public health issues like ment...
The Big Data revolution is spreading worldwide. The data availability is actually the starting point...
Purpose A previously developed prediction model and decision tree were externally validated for thei...
Life expectancy may be greatly improved by accurately diagnosing mental health issues at an early st...
<p>Decision tree model representing the clinical experiences of patients in the conservative arm of ...
<p>The starting point of the decision tree was the list of psychosocial difficulties (PSD) addressed...
International audienceBACKGROUND:Several Computerized Adaptive Tests (CATs) have been proposed to fa...
Knowledge discovery from data is an interdisciplinary research field combining technology and knowle...
This research presents a categorization replica to have the discernment of the result of distinct ps...
: This work illustrates the advantages of using machine learning classifiers in psychiatric assessme...
AIM OF THE PAPER:\ud To examine the application of the decision tree approach to collaborative clini...
Rationale, aims and objectives: Results from prediction studies are often of limited value because p...
Data mining techniques are rapidly developed for many applications. In recent year, Data mining in h...
Rationale, aims and objectives: Results from prediction studies are often of limited value because p...
Nowadays, the incidence of mental illness in the world population has been growing, so it is necessa...
In national and local level, understanding of factors associated with public health issues like ment...
The Big Data revolution is spreading worldwide. The data availability is actually the starting point...
Purpose A previously developed prediction model and decision tree were externally validated for thei...
Life expectancy may be greatly improved by accurately diagnosing mental health issues at an early st...
<p>Decision tree model representing the clinical experiences of patients in the conservative arm of ...
<p>The starting point of the decision tree was the list of psychosocial difficulties (PSD) addressed...
International audienceBACKGROUND:Several Computerized Adaptive Tests (CATs) have been proposed to fa...
Knowledge discovery from data is an interdisciplinary research field combining technology and knowle...