Table 2.
BERG’s Bayesian artificial intelligence analytics (bAIcis®) generated 19 networks that enabled unbiased identification of significant predictors of any cause mortality post-COVID-19 PCR+ testing for specific patient populations
| Name | Number of patients | Number of features | Number of features connected to any cause mortality | Number of selected significant predictors of any cause mortality |
|---|---|---|---|---|
| All patients | 16,277 | 2386 | 487 | 20 |
| Inpatients | 3082 | 1946 | 227 | 20 |
| Inpatients post-COVID-19+ PCR test | 3082 | 1285 | 100 | 20 |
| Inpatients aged 60–69 | 655 | 796 | 32 | 20 |
| Inpatients aged 70+ | 1099 | 1238 | 32 | 20 |
| Inpatients aged 60+ | 1754 | 1570 | 77 | 20 |
| Inpatients Hispanic | 1231 | 1080 | 93 | 20 |
| Inpatients white non-Hispanic | 898 | 981 | 44 | 20 |
| Inpatients aged < 60 | 1328 | 991 | 30 | 19 |
| Inpatients pre-COVID-19+ PCR test | 3082 | 678 | 23 | 17 |
| Inpatients aged 40–49 | 391 | 448 | 26 | 10 |
| Inpatients white non-Hispanic pre-COVID-19+ PCR test | 898 | 315 | 7 | 7 |
| Inpatients aged 60+ pre-COVID-19+ PCR test | 1754 | 519 | 9 | 6 |
| Inpatients Hispanic pre-COVID-19+ PCR test | 1231 | 279 | 7 | 4 |
| Inpatients aged 50–59 | 548 | 604 | 7 | 4 |
| Inpatients age 18–39 | 389 | 386 | 7 | 3 |
| Inpatients age <60 pre-COVID-19+ PCR test | 1328 | 259 | 5 | 3 |
| Inpatients African American Non-Hispanic | 600 | 675 | 5 | 3 |
| Inpatients African American Non-Hispanic pre-COVID-19+ PCR test | 600 | 161 | 16 | 3 |