Extending artificial intelligence research in the clinical domain: a theoretical perspective
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
https://link.springer.com/content/pdf/10.1007/s10479-022-05035-1.pdf
Reference101 articles.
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3. Anakal, S., & Sandhya, P. (2017). Clinical decision support system for chronic obstructive pulmonary disease using machine learning techniques. Paper presented at the 2017 international conference on electrical, electronics, communication, computer, and optimization techniques (ICEECCOT).
4. Bai, Z., Lu, J., Li, T., Ma, Y., Liu, Z., Zhao, R., Wang, Z., & Shi, B. (2021). Clinical feature-based machine learning model for 1-year mortality risk prediction of ST-segment elevation myocardial infarction in patients with hyperuricemia: A retrospective study. Computational and Mathematical Methods in Medicine, 2021, 1–9.
5. Balkan, B., & Subbian, V. (2018). Evaluating ICU clinical severity scoring systems and machine learning applications: APACHE IV/IVa case study. Paper presented at the 2018 40th annual international conference of the IEEE engineering in medicine and biology society (EMBC).
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