Babylon Investor Day Presentation Deck
Al Platform | Rapid iteration of Al models to predict and prevent
27
# python3
Python 3.7.12 | packaged by conda-forge | (default, Oct 26 2021, 06:08:53)
[GCC 9.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch as th
>>> from DPU import *
>>> health_graph
Warm loading
=
load_health_graph ("hypertension", "icd_10", "high_risk")
Loading saved data...
Done!
Processing data...
100 % |
This temporal thin dataset provides features of type:
icd_10_codes
metadata
times
And provides the following tasks:
Hypertension (3)
Done!
>>> load_DPU_transformer (health_graph)
DPU_transformer loaded
>>> train_down
1/1 [00:15<00:00, 15.89s/it]
Note: Some features or elements of features may be under active development, have not been commercialized and we cannot guarantee if / when the product will be delivered to members.
babylonView entire presentation