Missing data characteristics and the choice of imputation technique: an empirical study

• Main Authors: Alade, Oyekale Abel, Sallehuddin, Roselina, Mohamed Radzi, Nor Haizan, Selamat, Ali
• Format: Article
• Published: Springer Nature Switzerland AG 2020
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/89957/; http://dx.doi.org/10.1007/978-3-030-33582-3_9
• Institution: Universiti Teknologi Malaysia

One important characteristic of good data is completeness. Missing data is a major problem in the classification of medical datasets. It leads to incorrect classification of patients, which is dangerous to health management of patients. Many imputation techniques have been employed to solve this pro...