Sentence examples for direction of illness from inspiring English sources

If a patient stayed in the hospital for only one day, then the triplet is made by replicating those data twice, reflecting the fact that we have no information regarding the direction of illness progression.

In general, the more restrictive the criteria, the more closely does the model predict actual experience, although inclusion of duration of illness in the model had a greater impact than did inclusion of direction of illness progression.

In summary, the model can match on three different clinical characteristics: the severity of illness, measured by total or component SOFA score; the direction of illness progression, represented by whether the SOFA score is rising, declining, or remaining stable; and the duration of illness, represented by categories of length of stay in the hospital.

The use of these three matching criteria produces eight possible algorithms for matching generated patients to real patient three-day segments (triplets): severity of illness (total or component SOFA), direction of illness progression (required or not), and duration of illness (required or not).

As was the case with the model's predictions of discharges and deaths, the model's predictions of scores most closely matched the actual scores when the model matched patients with respect to the length of time in the hospital, the level of illness (as measured by total or component SOFA scores), and the direction of illness.

Mr Severinsen believes that health monitoring has the potential to shift the focus of medicine more in the direction of preventing illness rather than the current method of treating conditions as they arise, "fighting fires" as he calls it.

Disease explanatory models provide an integral framework for health knowledge and point the direction for the prevention and resolution of illness.

The best results were seen when the model also incorporated information on the duration of illness and the direction of progression.

For example, when the algorithm does not include information on the duration of illness or the direction of progression (top left panel of Figure 3), the predicted pattern of discharges is statistically significantly different from the observed pattern (P < 0.001).

When the algorithm incorporates information on the duration of illness and the direction of progression (bottom left panel in Figure 3) the pattern of predicted discharges is virtually indistinguishable from the actual (P = 0.91 to 0.95).

For E there were 6 association and all 6 were in the predicted direction (high E linked to absence of illness).