ISLabResearch/opendeid-70m-ft-full

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Results

Sensitive Health Information Recognition

Coding Type	Precision	Recall	F-measure	Support
PATIENT	0.8187919	0.1703911	0.2820809	716
IDNUM	0.9224937	0.5165094	0.6622316	2120
DATE	0.9332247	0.9320862	0.9326552	2459
MEDICALRECORD	0.7428058	0.5528782	0.6339217	747
CITY	0.9758308	0.8659517	0.9176136	373
STATE	0.9937888	0.9638554	0.9785933	332
ZIP	0.9871795	0.6543909	0.7870528	353
DEPARTMENT	0.8079096	0.6825776	0.7399741	419
HOSPITAL	0.9493243	0.7036728	0.8082454	1198
DOCTOR	0.8871097	0.3330328	0.4842657	3327
TIME	0.7804878	0.4085106	0.5363128	470
STREET	0.7372881	0.252907	0.3766234	344
DURATION	1	0.25	0.4	12
SET	0.6666667	0.4	0.5	5
AGE	0.9512195	0.7647059	0.8478261	51
ORGANIZATION	0.15625	0.06756756	0.09433962	74
LOCATION-OTHER	0	0	0	6
PHONE	0	0	0	1
Micro-avg. F	0.9010895	0.565926	0.695221	13007
Macro-avg. F	0.7394651	0.4732798	0.5771599	13007

Temporal Information Normalization

Temporal Type	Precision	Recall	F-measure	Support
DATE	0.7988656	0.7446116	0.7707851	2459
TIME	0.6875	0.2808511	0.3987916	470
DURATION	0.6666667	0.1666667	0.2666667	12
SET	1	0.4	0.5714286	5
Micro-avg.	0.7902772	0.667685	0.7238271	2946
Macro-avg.	0.7882581	0.3980323	0.5289636	2946

Summary

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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