Closed BPDanek closed 1 year ago
output statistics:
(pyhealth) [bdanek2@sunlab-work-02 PyHealth]$ /home/bdanek2/miniconda3/envs/pyhealth/bin/python /home/bdanek2/PyHealth/pyhealth/models/halo.py
training time: 4.7031790018081665e-07 7.838631669680277e-09 1.3064386116133796e-10
Validation Loss:0.0241066
Generating samples for labels: 100%|███████████████████████████████████████████████████████████████████████████████████| 2/2 [00:17<00:00, 8.88s/it]
Saving synthetic ehr dataset at: /home/bdanek2/PyHealth/synthetically_generated_data.pkl
source (train)
{
Record Length Mean: 1.3559782608695652,
Record Length Standard Deviation: 0.6349573073334189,
Visit Length Mean: 29.312625250501004,
Visit Length Standard Deviation: 19.350745816354003,
Inter-visit time Mean: 29.312625250501004,
Inter-visit time Standard Deviation: 19.350745816354003,
}
{
(0.0,): 1.0,
(1.0,): 1.0,
(1.0, 1.0): 1.0,
}
synthetic
{
Record Length Mean: 1.2519,
Record Length Standard Deviation: 0.4861546976014939,
Visit Length Mean: 24.54501158239476,
Visit Length Standard Deviation: 14.314390667157445,
Inter-visit time Mean: 24.54501158239476,
Inter-visit time Standard Deviation: 14.314390667157445,
}
{
(0.0,): 1.0,
(1.0,): 1.0,
(1.0, 1.0): 1.0,
}
Evalutor: generating label plots: 0%| | 0/2 [00:00<?, ?it/s]
Label stats ./halo_eval_plots_Per Record Code Probabilities_male:
Per Record Code Probabilities r-squared = 0.9540811188059296
Label stats ./halo_eval_plots_Per Visit Code Probabilities_male:
Per Visit Code Probabilities r-squared = 0.9641675839182102
Label stats ./halo_eval_plots_Per Record Bigram Probabilities_male:
Per Record Bigram Probabilities r-squared = 0.8302730946294461
Label stats ./halo_eval_plots_Per Visit Bigram Probabilities_male:
Per Visit Bigram Probabilities r-squared = 0.8527011441652503
Label stats ./halo_eval_plots_Per Record Sequential Visit Bigram Probabilities_male:
Per Record Sequential Visit Bigram Probabilities r-squared = 0.3990111980028218
Label stats ./halo_eval_plots_Per Visit Sequential Visit Bigram Probabilities_male:
Per Visit Sequential Visit Bigram Probabilities r-squared = 0.4897344982576297
Evalutor: generating label plots: 50%|████████████████████████████████████████ | 1/2 [00:02<00:02, 2.53s/it]
Label stats ./halo_eval_plots_Per Record Code Probabilities_female:
Per Record Code Probabilities r-squared = 0.9540811188059296
Label stats ./halo_eval_plots_Per Visit Code Probabilities_female:
Per Visit Code Probabilities r-squared = 0.9641675839182102
Label stats ./halo_eval_plots_Per Record Bigram Probabilities_female:
Per Record Bigram Probabilities r-squared = 0.8302730946294461
Label stats ./halo_eval_plots_Per Visit Bigram Probabilities_female:
Per Visit Bigram Probabilities r-squared = 0.8527011441652503
Label stats ./halo_eval_plots_Per Record Sequential Visit Bigram Probabilities_female:
Per Record Sequential Visit Bigram Probabilities r-squared = 0.3990111980028218
Label stats ./halo_eval_plots_Per Visit Sequential Visit Bigram Probabilities_female:
Per Visit Sequential Visit Bigram Probabilities r-squared = 0.4897344982576297
Evalutor: generating label plots: 100%|████████████████████████████████████████████████████████████████████████████████| 2/2 [00:05<00:00, 2.55s/it]
plots at: ./halo_eval_plots_Per Record Code Probabilities_male
./halo_eval_plots_Per Visit Code Probabilities_male
./halo_eval_plots_Per Record Bigram Probabilities_male
./halo_eval_plots_Per Visit Bigram Probabilities_male
./halo_eval_plots_Per Record Sequential Visit Bigram Probabilities_male
./halo_eval_plots_Per Visit Sequential Visit Bigram Probabilities_male
./halo_eval_plots_Per Record Code Probabilities_female
./halo_eval_plots_Per Visit Code Probabilities_female
./halo_eval_plots_Per Record Bigram Probabilities_female
./halo_eval_plots_Per Visit Bigram Probabilities_female
./halo_eval_plots_Per Record Sequential Visit Bigram Probabilities_female
./halo_eval_plots_Per Visit Sequential Visit Bigram Probabilities_female
done
implement model based on: https://pubmed.ncbi.nlm.nih.gov/36945542/