Ashwin N Ananthakrishnan, M.B.,B.S.
Co-Author
This page shows the publications co-authored by Ashwin Ananthakrishnan and Guergana Savova.
Connection Strength
1.233
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Use of Narrative Concepts in Electronic Health Records to Validate Associations Between Genetic Factors and Response to Treatment of Inflammatory Bowel Diseases. Clin Gastroenterol Hepatol. 2020 07; 18(8):1890-1892.
Score: 0.207
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Comparative Effectiveness of Infliximab and Adalimumab in Crohn's Disease and Ulcerative Colitis. Inflamm Bowel Dis. 2016 Apr; 22(4):880-5.
Score: 0.164
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Identification of Nonresponse to Treatment Using Narrative Data in an Electronic Health Record Inflammatory Bowel Disease Cohort. Inflamm Bowel Dis. 2016 Jan; 22(1):151-8.
Score: 0.161
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Normalization of plasma 25-hydroxy vitamin D is associated with reduced risk of surgery in Crohn's disease. Inflamm Bowel Dis. 2013 Aug; 19(9):1921-7.
Score: 0.136
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Improving case definition of Crohn's disease and ulcerative colitis in electronic medical records using natural language processing: a novel informatics approach. Inflamm Bowel Dis. 2013 Jun; 19(7):1411-20.
Score: 0.135
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Similar risk of depression and anxiety following surgery or hospitalization for Crohn's disease and ulcerative colitis. Am J Gastroenterol. 2013 Apr; 108(4):594-601.
Score: 0.132
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Psychiatric co-morbidity is associated with increased risk of surgery in Crohn's disease. Aliment Pharmacol Ther. 2013 Feb; 37(4):445-54.
Score: 0.131
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High-throughput phenotyping with electronic medical record data using a common semi-supervised approach (PheCAP). Nat Protoc. 2019 12; 14(12):3426-3444.
Score: 0.053
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Methods to Develop an Electronic Medical Record Phenotype Algorithm to Compare the Risk of Coronary Artery Disease across 3 Chronic Disease Cohorts. PLoS One. 2015; 10(8):e0136651.
Score: 0.039
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Development of phenotype algorithms using electronic medical records and incorporating natural language processing. BMJ. 2015 Apr 24; 350:h1885.
Score: 0.038
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Modeling disease severity in multiple sclerosis using electronic health records. PLoS One. 2013; 8(11):e78927.
Score: 0.035
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.