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Machine learning (ML) techniques to predict breast cancer in imbalanced datasets: a systematic review
Abstract Knowledge discovery in databases (KDD) is crucial in analyzing data to extract
valuable insights. In medical outcome prediction, KDD is increasingly applied, particularly in …
valuable insights. In medical outcome prediction, KDD is increasingly applied, particularly in …
[HTML][HTML] Amalgamation of customer relationship management and data analytics in different business sectors—A systematic literature review
Customization of products or services is a strategy that the business sector has embraced to
build a better relationship with the customers to cater to their individual needs and thus …
build a better relationship with the customers to cater to their individual needs and thus …
Performance evaluation of a proposed machine learning model for chronic disease datasets using an integrated attribute evaluator and an improved decision tree …
There is a consistent rise in chronic diseases worldwide. These diseases decrease immunity
and the quality of daily life. The treatment of these disorders is a challenging task for medical …
and the quality of daily life. The treatment of these disorders is a challenging task for medical …
[HTML][HTML] A sustainable IoHT based computationally intelligent healthcare monitoring system for lung cancer risk detection
A sustainable healthcare focuses on enhancing and restoring public health parameters
thereby reducing gloomy impacts on social, economic and environmental elements of a …
thereby reducing gloomy impacts on social, economic and environmental elements of a …
Predicting Urban Heat Island severity on the census-tract level using Bayesian networks
Urban development and population growth have resulted in several critical impacts on the
society, environment, and economy. One of the main impacts is the increase in temperature …
society, environment, and economy. One of the main impacts is the increase in temperature …
Application and evaluation of classification model to detect autistic spectrum disorders in children
An Autism Spectrum Disorder (ASD) affected child faces significant difficulties in social
interactive activities. There is an eminent requirement of a real-time and easy-to-access …
interactive activities. There is an eminent requirement of a real-time and easy-to-access …
Stacked KNN with hard voting predictive approach to assist hiring process in IT organizations
Effective candidates screening is critical for any IT firm as it impacts the future growth and
productivity of that firm. Currently majority of these firms follow a manual approach of hiring …
productivity of that firm. Currently majority of these firms follow a manual approach of hiring …
Innovation on machine learning in healthcare services—An introduction
The healthcare offerings in evolved and develo** international locations are seriously
important. The use of machine gaining knowledge of strategies in healthcare enterprise has …
important. The use of machine gaining knowledge of strategies in healthcare enterprise has …
Scope of medical bots in clinical domain
There is no question that Medical Science has come very far over the past 5 years but still
when any human treats any patient there is always a chance of human error. This lead to the …
when any human treats any patient there is always a chance of human error. This lead to the …
[PDF][PDF] Improving SVM classification performance on unbalanced student graduation time data using SMOTE
Abstract—Student graduation accuracy is one of the indicators of the success of higher
education institutions in carrying out the teaching and learning process and as a component …
education institutions in carrying out the teaching and learning process and as a component …