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- "Computers, Materials & Continua" article: Which COVID patients will suffer deadly ARDS
An article published Monday in "Computers, Materials, & Continua" identifies leading indicators of which patients will go on to develop ARDS (acute respiratory distress syndrome).
From the abstract:
Among the features identified as possible indicators:
A pdf of the full article can be freely downloaded (no paywall).
Additional background information is available in this Yahoo article:
AI tool predicts ...
From the abstract:
there is an urgent need to augment clinical skills in order to identify from among the many mild cases the few that will progress to critical illness. We present a first step towards building an artificial intelligence (AI) framework, with predictive analytics (PA) capabilities applied to real patient data, to provide rapid clinical decision-making support.
Our results, based on data from two hospitals in Wenzhou, Zhejiang, China, identified features on initial presentation with COVID-19 that were most predictive of later development of ARDS. A mildly elevated alanine aminotransferase (ALT) (a liver enzyme), the presence of myalgias (body aches), and an elevated hemoglobin (red blood cells), in this order, are the clinical features, on presentation, that are the most predictive. The predictive models that learned from historical data of patients from these two hospitals achieved 70% to 80% accuracy in predicting severe cases.
Among the features identified as possible indicators:
Table 4: Feature ranking Predictive features of ARDS in this order using feature selection algorithms described in Section 4.
1. ALT
2. Myalgias
3. Hemoglobin
4. Gender
5. Temperature
6. Na+
7. K+
8. Lymphocyte Count
9. Creatinine
10. Age
11. White Blood Count
A pdf of the full article can be freely downloaded (no paywall).
Additional background information is available in this Yahoo article:
AI tool predicts ...
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