[PDF][PDF] Performance of artificial intelligence-based algorithms to predict prolonged length of stay after head and neck cancer surgery
A Vollmer, S Nagler, M Hörner, S Hartmann… - Heliyon, 2023 - cell.com
Background Medical resource management can be improved by assessing the likelihood of
prolonged length of stay (LOS) for head and neck cancer surgery patients. The objective of …
prolonged length of stay (LOS) for head and neck cancer surgery patients. The objective of …
[PDF][PDF] Performance of artificial intelligence-based algorithms to predict prolonged length of stay after head and neck cancer surgery
A Vollmer, S Nagler, M Hörner, S Hartmann, R Brands… - researchgate.net
Background: Medical resource management can be improved by assessing the likelihood of
prolonged length of stay (LOS) for head and neck cancer surgery patients. The objective of …
prolonged length of stay (LOS) for head and neck cancer surgery patients. The objective of …
[HTML][HTML] Performance of artificial intelligence-based algorithms to predict prolonged length of stay after head and neck cancer surgery
A Vollmer, S Nagler, M Hörner, S Hartmann… - Heliyon, 2023 - Elsevier
Background Medical resource management can be improved by assessing the likelihood of
prolonged length of stay (LOS) for head and neck cancer surgery patients. The objective of …
prolonged length of stay (LOS) for head and neck cancer surgery patients. The objective of …
[HTML][HTML] Performance of artificial intelligence-based algorithms to predict prolonged length of stay after head and neck cancer surgery
A Vollmer, S Nagler, M Hörner, S Hartmann… - Heliyon, 2023 - ncbi.nlm.nih.gov
Background Medical resource management can be improved by assessing the likelihood of
prolonged length of stay (LOS) for head and neck cancer surgery patients. The objective of …
prolonged length of stay (LOS) for head and neck cancer surgery patients. The objective of …
Performance of artificial intelligence-based algorithms to predict prolonged length of stay after head and neck cancer surgery
A Vollmer, S Nagler, M Hörner, S Hartmann… - …, 2023 - ui.adsabs.harvard.edu
Background. Medical resource management can be improved by assessing the likelihood of
prolonged length of stay (LOS) for head and neck cancer surgery patients. The objective of …
prolonged length of stay (LOS) for head and neck cancer surgery patients. The objective of …
Performance of artificial intelligence-based algorithms to predict prolonged length of stay after head and neck cancer surgery
A Vollmer, S Nagler, M Hörner, S Hartmann… - …, 2023 - pubmed.ncbi.nlm.nih.gov
Background Medical resource management can be improved by assessing the likelihood of
prolonged length of stay (LOS) for head and neck cancer surgery patients. The objective of …
prolonged length of stay (LOS) for head and neck cancer surgery patients. The objective of …
Performance of artificial intelligence-based algorithms to predict prolonged length of stay after head and neck cancer surgery
A Vollmer, S Nagler, M Hörner, S Hartmann, R Brands… - Heliyon, 2023 - europepmc.org
Background Medical resource management can be improved by assessing the likelihood of
prolonged length of stay (LOS) for head and neck cancer surgery patients. The objective of …
prolonged length of stay (LOS) for head and neck cancer surgery patients. The objective of …
Performance of artificial intelligence-based algorithms to predict prolonged length of stay after head and neck cancer surgery.
A Vollmer, S Nagler, M Hörner, S Hartmann… - Heliyon, 2023 - europepmc.org
Background Medical resource management can be improved by assessing the likelihood of
prolonged length of stay (LOS) for head and neck cancer surgery patients. The objective of …
prolonged length of stay (LOS) for head and neck cancer surgery patients. The objective of …