Using administrative data to identify mental illness: what approach is best?

SM Frayne, DR Miller, EJ Sharkansky… - American Journal of …, 2010 - journals.lww.com
The authors estimated the validity of algorithms for identification of mental health conditions
(MHCs) in administrative data for the 133 068 diabetic patients who used Veterans Health …
被引用次数：160 相关文章

Using Administrative Data to Identify Mental Illness: What Approach Is Best?

SM Frayne, DR Miller, EJ Sharkansky… - American Journal of …, 2010 - journals.sagepub.com
The authors estimated the validity of algorithms for identification of mental health conditions
(MHCs) in administrative data for the 133 068 diabetic patients who used Veterans Health …

Using administrative data to identify mental illness: what approach is best?

SM Frayne, DR Miller, EJ Sharkansky… - American Journal of …, 2009 - europepmc.org
The authors estimated the validity of algorithms for identification of mental health conditions
(MHCs) in administrative data for the 133 068 diabetic patients who used Veterans Health …

Using administrative data to identify mental illness: what approach is best?

SM Frayne, DR Miller… - … journal of medical …, 2010 - pubmed.ncbi.nlm.nih.gov
The authors estimated the validity of algorithms for identification of mental health conditions
(MHCs) in administrative data for the 133 068 diabetic patients who used Veterans Health …
[PDF] researchgate.net

[PDF][PDF] American Journal of Medical

BK Berlowitz, CS Rosen, TM Keane - American Journal of Medical …, 2010 - researchgate.net
The authors estimated the validity of algorithms for identification of mental health conditions
(MHCs) in administrative data for the 133 068 diabetic patients who used Veterans Health …