Table 4.

Summary of LRM and LSTM mortality detection performance at different time points

Time of PredictionAUC-ROC (LRM)PPV (LRM)NPV (LRM)AUC-ROC (LSTM)PPV (LSTM)NPV (LSTM)
1 hour0.59 ± 0.020.75 ± 0.090.62 ± 0.080.88 ± 0.02.0.96 ± 0.020.71 ± 0.06
6 hours0.72 ± 0.030.85 ± 0.030.75 ± 0.020.89 ± 0.030.73 ± 0.050.81 ± 0.03
12 hours0.75 ± 0.010.85 ± 0.050.80 ± 0.030.93 ± 0.010.92 ± 0.020.84 ± 0.02
48 hours0.73 ± 0.030.82 ± 0.040.85 ± 0.040.95 ± 0.010.97 ± 0.010.85 ± 0.01
1 week0.71 ± 0.010.79 ± 0.030.70 ± 0.020.91 ± 0.020.85 ± 0.040.92 ± 0.02
2 weeks0.79 ± 0.020.86 ± 0.010.75 ± 0.040.90 ± 0.030.79 ± 0.060.90 ± 0.02
3 weeks0.72 ± 0.020.80 ± 0.070.71 ± 0.030.91 ± 0.010.82 ± 0.020.93 ± 0.01
4 weeks0.82 ± 0.010.88 ± 0.020.77 ± 0.060.90 ± 0.020.88 ± 0.030.79 ± 0.03
Total length of stay0.81 ± 0.020.89 ± 0.020.80 ± 0.020.96 ± 0.010.80 ± 0.031.0 ± 0.01
Time of PredictionAUC-ROC (LRM)PPV (LRM)NPV (LRM)AUC-ROC (LSTM)PPV (LSTM)NPV (LSTM)
1 hour0.59 ± 0.020.75 ± 0.090.62 ± 0.080.88 ± 0.02.0.96 ± 0.020.71 ± 0.06
6 hours0.72 ± 0.030.85 ± 0.030.75 ± 0.020.89 ± 0.030.73 ± 0.050.81 ± 0.03
12 hours0.75 ± 0.010.85 ± 0.050.80 ± 0.030.93 ± 0.010.92 ± 0.020.84 ± 0.02
48 hours0.73 ± 0.030.82 ± 0.040.85 ± 0.040.95 ± 0.010.97 ± 0.010.85 ± 0.01
1 week0.71 ± 0.010.79 ± 0.030.70 ± 0.020.91 ± 0.020.85 ± 0.040.92 ± 0.02
2 weeks0.79 ± 0.020.86 ± 0.010.75 ± 0.040.90 ± 0.030.79 ± 0.060.90 ± 0.02
3 weeks0.72 ± 0.020.80 ± 0.070.71 ± 0.030.91 ± 0.010.82 ± 0.020.93 ± 0.01
4 weeks0.82 ± 0.010.88 ± 0.020.77 ± 0.060.90 ± 0.020.88 ± 0.030.79 ± 0.03
Total length of stay0.81 ± 0.020.89 ± 0.020.80 ± 0.020.96 ± 0.010.80 ± 0.031.0 ± 0.01

AUC-ROC: area under the curve receiver operating characteristic curve; CI: class interval; LRM: logistic regression model; LSTM: long–short-term memory; NPV: negative predictive value; PPV: positive predictive value.

Table 4.

Summary of LRM and LSTM mortality detection performance at different time points

Time of PredictionAUC-ROC (LRM)PPV (LRM)NPV (LRM)AUC-ROC (LSTM)PPV (LSTM)NPV (LSTM)
1 hour0.59 ± 0.020.75 ± 0.090.62 ± 0.080.88 ± 0.02.0.96 ± 0.020.71 ± 0.06
6 hours0.72 ± 0.030.85 ± 0.030.75 ± 0.020.89 ± 0.030.73 ± 0.050.81 ± 0.03
12 hours0.75 ± 0.010.85 ± 0.050.80 ± 0.030.93 ± 0.010.92 ± 0.020.84 ± 0.02
48 hours0.73 ± 0.030.82 ± 0.040.85 ± 0.040.95 ± 0.010.97 ± 0.010.85 ± 0.01
1 week0.71 ± 0.010.79 ± 0.030.70 ± 0.020.91 ± 0.020.85 ± 0.040.92 ± 0.02
2 weeks0.79 ± 0.020.86 ± 0.010.75 ± 0.040.90 ± 0.030.79 ± 0.060.90 ± 0.02
3 weeks0.72 ± 0.020.80 ± 0.070.71 ± 0.030.91 ± 0.010.82 ± 0.020.93 ± 0.01
4 weeks0.82 ± 0.010.88 ± 0.020.77 ± 0.060.90 ± 0.020.88 ± 0.030.79 ± 0.03
Total length of stay0.81 ± 0.020.89 ± 0.020.80 ± 0.020.96 ± 0.010.80 ± 0.031.0 ± 0.01
Time of PredictionAUC-ROC (LRM)PPV (LRM)NPV (LRM)AUC-ROC (LSTM)PPV (LSTM)NPV (LSTM)
1 hour0.59 ± 0.020.75 ± 0.090.62 ± 0.080.88 ± 0.02.0.96 ± 0.020.71 ± 0.06
6 hours0.72 ± 0.030.85 ± 0.030.75 ± 0.020.89 ± 0.030.73 ± 0.050.81 ± 0.03
12 hours0.75 ± 0.010.85 ± 0.050.80 ± 0.030.93 ± 0.010.92 ± 0.020.84 ± 0.02
48 hours0.73 ± 0.030.82 ± 0.040.85 ± 0.040.95 ± 0.010.97 ± 0.010.85 ± 0.01
1 week0.71 ± 0.010.79 ± 0.030.70 ± 0.020.91 ± 0.020.85 ± 0.040.92 ± 0.02
2 weeks0.79 ± 0.020.86 ± 0.010.75 ± 0.040.90 ± 0.030.79 ± 0.060.90 ± 0.02
3 weeks0.72 ± 0.020.80 ± 0.070.71 ± 0.030.91 ± 0.010.82 ± 0.020.93 ± 0.01
4 weeks0.82 ± 0.010.88 ± 0.020.77 ± 0.060.90 ± 0.020.88 ± 0.030.79 ± 0.03
Total length of stay0.81 ± 0.020.89 ± 0.020.80 ± 0.020.96 ± 0.010.80 ± 0.031.0 ± 0.01

AUC-ROC: area under the curve receiver operating characteristic curve; CI: class interval; LRM: logistic regression model; LSTM: long–short-term memory; NPV: negative predictive value; PPV: positive predictive value.

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