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Decision tree learning

A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis

Furqan Rustam, Madiha Khalid, [ ... ], Gyu Sang Choi

Machine learning-based prediction of in-hospital mortality using admission laboratory data: A retrospective, single-site study using electronic health record data

Tomohisa Seki, Yoshimasa Kawazoe, Kazuhiko Ohe

Predicting mortality of patients with acute kidney injury in the ICU using XGBoost model

Jialin Liu, Jinfa Wu, [ ... ], Ke Li

Recognition of industrial machine parts based on transfer learning with convolutional neural network

Qiaoyang Li, Guiming Chen

Insights into mobile health application market via a content analysis of marketplace data with machine learning

Gokhan Aydin, Gokhan Silahtaroglu

Application of machine learning in the diagnosis of gastric cancer based on noninvasive characteristics

Shuang-Li Zhu, Jie Dong, [ ... ], Wensheng Pan

EXSEQREG: Explaining sequence-based NLP tasks with regions with a case study using morphological features for named entity recognition

Onur Güngör, Tunga Güngör, Suzan Uskudarli

Imbalanced learning: Improving classification of diabetic neuropathy from magnetic resonance imaging

Kevin Teh, Paul Armitage, [ ... ], Iain D. Wilkinson

SE-stacking: Improving user purchase behavior prediction by information fusion and ensemble learning

Jing Xu, Jie Wang, [ ... ], Xin Gao

Predicting time to graduation at a large enrollment American university

John M. Aiken, Riccardo De Bin, Morten Hjorth-Jensen, Marcos D. Caballero

Cyberbullying severity detection: A machine learning approach

Bandeh Ali Talpur, Declan O’Sullivan

Virtual patients as a tool for training pre-registration pharmacists and increasing their preparedness to practice: A qualitative study

Jessica Thompson, Simon White, Stephen Chapman

A machine learning approach to predict intravenous immunoglobulin resistance in Kawasaki disease patients: A study based on a Southeast China population

Tengyang Wang, Guanghua Liu, Hongye Lin

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