An analysis on fraud detection in credit card transactions using machine learning techniques

JC Mathew, B Nithya, CR Vishwanatha… - … and Smart Energy …, 2022 - ieeexplore.ieee.org
Today, digitization is turning popular because of the ease and convenience of utilizing e-
commerce. People are selecting on-line payments and electronic shopping due to the …

Study and analysis of an approach towards the classification of tooth wear in dentistry using machine learning technique

P Jaiswal, S Bhirud - … , and Innovation for Betterment of Society …, 2021 - ieeexplore.ieee.org
In current decades, an automatic detection system in healthcare field is an emergent
research area. Extensive use of machine learning and deep learning algorithms can be …

A survey of big data analytics using machine learning algorithms

U Moorthy, UD Gandhi - Research Anthology on Big Data Analytics …, 2022 - igi-global.com
Big data is information management system through the integration of various traditional
data techniques. Big data usually contains high volume of personal and authenticated …

Classification and prediction of oral diseases in dentistry using an insight from panoramic radiographs and questionnaire

P Jaiswal, S Bhirud - 2021 5th International Conference on …, 2021 - ieeexplore.ieee.org
The healthcare domain is a very important research field with rapid technological
advancement, where programmed medical assistance systems or mathematical devices are …

[PDF][PDF] Mammogram images classification using linear discriminant analysis

A Mohammed, A Ahmed, W Mohammed… - Int Res J Eng Technol …, 2020 - academia.edu
Breast cancer represents a significant percentage of cancer death among women all over
the world. Studies showed that breast cancer possibility of cure can increase up to 40%, if it …

An Optimized Data Classifier Model Based Diagnosis and Recurrence Predictions of Gynecological Cancer for Clinical Decision Support System

B Nithya, V Ilango - Proceeding of the International Conference on …, 2020 - Springer
Meaningful knowledge can be revealed by applying Soft Computing techniques in
healthcare industry. In women-related cancers, the studies that have been done on the …

Machine Learning for Information Extraction, Data Analysis and Predictions in the Healthcare System

G Jaculine Priya, S Saradha - Handbook of Intelligent …, 2022 - Wiley Online Library
Information extraction is key irrespective of any domain. All these years, there have been
numerous techniques leveraged to extract information. One of those techniques is “machine …

A Review of Current Machine Learning Methods Used for Cancer Recurrence Modeling and Prediction

GM Hemphill - 2016 - osti.gov
Cancer has been characterized as a heterogeneous disease consisting of many different
subtypes. The early diagnosis and prognosis of a cancer type has become a necessity in …

Construction of a parametric model of competitive access in relational databases by using a random forest method

D Gromey, E Lebedenko, D Nikolaev… - Восточно …, 2019 - irbis-nbuv.gov.ua
Recent decades have seen a tangible improvement in the informatization of society,
increasing the degree of integration of information technology in all spheres of human life …

[PDF][PDF] Predicting Breast Cancer using Apache Spark Machine Learning Logistic Regression

J Shanthini - academia.edu
In real world Breast Cancer Diagnosis and Prognosis are two medical applications pose a
great challenge to the researchers. There are many scientific technologies that has rich …