1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.HC2023★ 1 cited
Capturing Requirements for a Data Annotation Tool for Intensive Care: Experimental User-Centered Design Study
Marceli Wac, Raul Santos-Rodriguez, Chris McWilliams +1
Intensive care units (ICUs) are complex and data-rich environments. Data routinely collected in the ICUs provides tremendous opportunities for machine learning, but their use comes…
cs.LG2023
Identification, explanation and clinical evaluation of hospital patient subtypes
Enrico Werner, Jeffrey N. Clark, Ranjeet S. Bhamber +5
We present a pipeline in which unsupervised machine learning techniques are used to automatically identify subtypes of hospital patients admitted between 2017 and 2021 in a large U…