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Prevalence and Associated Factors of Frailty in Middle-Aged and Elderly Patients with Atrial Fibrillation: An Exploratory Machine Learning Analysis. [PDF]
Clin Interv AgingLiao T +5 more
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Genomic Analysis of Resistance to <i>Exserohilum turcicum</i> in Nigerien and Senegalese Sorghum Using GWAS and Machine Learning. [PDF]
PathogensProm LK +6 more
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Applying Machine Learning to Predict Loss to Follow-Up Among People Living With HIV in Haiti Using a National Electronic Medical Record Cohort. [PDF]
Int J Public HealthWu J +10 more
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Medicare Fraud Detection using CatBoost
2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI), 2020In this study we investigate the performance of CatBoost in the task of identifying Medicare fraud. The Medicare claims data we use as input for CatBoost contain a number of categorical features. Some of these features, such as the procedure code and provider zip code, have thousands of possible values. One contribution we make in this study is to show
John T. Hancock, Taghi M. Khoshgoftaar
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Sales Forecasting Based on CatBoost
2020 2nd International Conference on Information Technology and Computer Application (ITCA), 2020Sales forecasting is a vital technology nowadays in the retail industry. With the help of advanced machine learning and deep learning algorithms, business owners can accurately predict the sales of thousands of products and make optimum decisions based on them. In this paper, we proposed a sales forecasting system based on CatBoosting. The algorithm is
Jingyi Ding +3 more
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CatBoost for Fraud Detection in Financial Transactions
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE), 2021Financial fraud is an ever growing menace with severe consequences in the financial industry. Machine learning plays an active role in the fraud detection in financial transactions. However, fraud detection is still a challenging problem due to two major reasons. First, either fraudulent or non-fraudulent behaviors change fast and constantly. Secondly,
Yeming Chen, Xinyuan Han
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Social Spammer Detection Based on PSO-CatBoost
2021With the rapid development of social networks, more and more organizations or individuals use social media to communicate with each other, passing on information and getting information, etc. However, while bringing convenience to people, social media has also become the main target of malicious attackers who try to take advantage of the system ...
Shupeng Li +3 more
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