Machine learning (ML) techniques to predict breast cancer in imbalanced datasets: a systematic review

A Ghavidel, P Pazos - Journal of Cancer Survivorship, 2023 - Springer
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 …

[HTML][HTML] Amalgamation of customer relationship management and data analytics in different business sectors—A systematic literature review

L Saha, HK Tripathy, SR Nayak, AK Bhoi, P Barsocchi - Sustainability, 2021 - mdpi.com
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 …

Performance evaluation of a proposed machine learning model for chronic disease datasets using an integrated attribute evaluator and an improved decision tree …

S Mishra, PK Mallick, HK Tripathy, AK Bhoi… - Applied Sciences, 2020 - mdpi.com
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 …

[HTML][HTML] A sustainable IoHT based computationally intelligent healthcare monitoring system for lung cancer risk detection

S Mishra, HK Thakkar, PK Mallick, P Tiwari… - Sustainable Cities and …, 2021 - Elsevier
A sustainable healthcare focuses on enhancing and restoring public health parameters
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

G Assaf, X Hu, RH Assaad - Sustainable Cities and Society, 2023 - Elsevier
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 …

Application and evaluation of classification model to detect autistic spectrum disorders in children

HK Tripathy, PK Mallick… - International Journal of …, 2021 - inderscienceonline.com
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 …

Stacked KNN with hard voting predictive approach to assist hiring process in IT organizations

S Mishra, PK Mallick, HK Tripathy… - … Journal of Electrical …, 2021 - journals.sagepub.com
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 …

Innovation on machine learning in healthcare services—An introduction

P Pattnayak, AR Panda - Technical Advancements of Machine Learning in …, 2021 - Springer
The healthcare offerings in evolved and develo** international locations are seriously
important. The use of machine gaining knowledge of strategies in healthcare enterprise has …

Scope of medical bots in clinical domain

D Mukherjee, HK Tripathy, S Mishra - Technical advancements of machine …, 2021 - Springer
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 …

[PDF][PDF] Improving SVM classification performance on unbalanced student graduation time data using SMOTE

A Anggrawan, H Hairani, C Satria - International Journal of …, 2023 - researchgate.net
 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 …