@inproceedings{bb806d6f88dd47c3b036862d43508c6a,
title = "An AI-Driven Predictive Modelling Framework to Analyze and Visualize Blood Product Transactional Data for Reducing Blood Products{\textquoteright} Discards",
keywords = "Big data, Blood Inventory Management, Blood product wastage, Data visualization, Machine learning, Sequence prediction, Visual analytics",
author = "Samina Abidi",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 18th International Conference on Artificial Intelligence in Medicine, AIME 2020 ; Conference date: 25-08-2020 Through 28-08-2020",
year = "2020",
doi = "10.1007/978-3-030-59137-3_18",
language = "English",
isbn = "9783030591366",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "192--202",
editor = "Martin Michalowski and Robert Moskovitch",
booktitle = "Artificial Intelligence in Medicine - 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Proceedings",
address = "Germany",
}