Overstay2 scoring model for Grace Hospital: Difference between revisions
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* CHF, Plegia, GCS_Motor, ADL_bath, ADL_toilet, ADl_continence are points or scores. | * CHF, Plegia, GCS_Motor, ADL_bath, ADL_toilet, ADl_continence are points or scores. | ||
The model gave a 0.076 cut-off probability for OS . "A cut-off point of 0.076, or a predicted probability of (Overstay >= 10 days) of 7.6%, maybe be used to classify patients into two groups; Overstay >= 10 days and Overstay < 10 days. See more discussion on [[Overstay2 colour]]. | The model gave a 0.076 cut-off probability for OS with sensitivity = 74.2 rate of identifying OS GE 10d out of the patients who actually have OS GE 10d and with specificity = 74.3 rate . "A cut-off point of 0.076, or a predicted probability of (Overstay >= 10 days) of 7.6%, maybe be used to classify patients into two groups; Overstay >= 10 days and Overstay < 10 days. See more discussion on [[Overstay2 colour]]. | ||
The model has been validated using the data from the validation set. The AUC C-index = 0.815, the Hosmer and Lemeshow Goodness of fit test Chi-Square value = 9.3015 (prob=0.327) and the cut-off probability for OS = 0.08. | The model has been validated using the data from the validation set. The AUC C-index = 0.815, the Hosmer and Lemeshow Goodness of fit test Chi-Square value = 9.3015 (prob=0.327) and the cut-off probability for OS = 0.08. | ||