Identifying Information Gaps in Electronic Health Records by Using Natural Language Processing: Gynecologic Surgery History Identification is a research paper published in Journal of Medical Internet Research (2022). On theSindex it has a DataRank of 0. It has been cited 13 times.
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NIA NIH HHS
Grant: R33 AG058738
NHLBI NIH HHS
Grant: R01 HL136659
NCI NIH HHS
Grant: P30 CA015083
NLM NIH HHS
Grant: R01 LM011934
NCATS NIH HHS
Grant: U01 TR002062
NIA NIH HHS
Grant: RF1 AG055151
NIA NIH HHS
Grant: R01 AG034676
NIA NIH HHS
Grant: R01 AG052425
NIA NIH HHS
Grant: U54 AG044170
National Institutes of Health
Grant: 5R01AG034676-52
Multimorbidity and Aging: Rochester Epidemiology Project
National Institutes of Health
Grant: 2U54AG044170-06
Sex-Specific Effects of Endocrine Disruption on Aging and Alzheimer's Disease
National Institutes of Health
Grant: 5R33AG058738-05
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology Project
National Institutes of Health
Grant: 5R01AG052425-05
Multiple Chronic Conditions and Aging
National Institutes of Health
Grant: 5U01TR002062-02
Open Health Natural Language Processing Collaboratory
National Institutes of Health
Grant: 1RF1AG055151-01
Reproductive risk factors for Alzheimer's disease dementia and pathology
National Institutes of Health
Grant: 1R01HL136659-01A1
Harnessing the Electronic Health Record to Predict Risk of Cardiovascular Disease
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Sustainable Development Goals