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Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review
This systematic review examines the use of Explainable Artificial Intelligence (XAI) during the pandemic and how its use could overcome barriers to real-world success.
Public Health Informatics: Proposing Causal Sequence of Death Using Neural Machine Translation
The sequence of clinical codes on the death report is named as causal chain of death, coded in the tenth revision of International Statistical Classification of Diseases (ICD-10); in line with the ICD-9-CM Official Guidelines for Coding and Reporting, the priority-ordered clinical conditions on the discharge record are coded in ICD-9.
DeepDeath: Learning to Predict the Underlying Cause of Death with Big Data
Multiple cause-of-death data provides a valuable source of information that can be used to enhance health standards by predicting health related trajectories in societies with large populations.
