Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis von Zhou, Shang-Ming, Fernandez-Gutierrez, Fabiola, Kennedy, Jonathan, Cooksey, Roxanne, Atkinson, Mark, Denaxas, Spiros, Siebert, Stefan, Dixon, William G, O'Neill, Terence W, Choy, Ernest, Sudlow, Cathie, Brophy, Sinead

Volltext

Accuracy of Electronic Health Record Data for Identifying Stroke Cases in Large-Scale Epidemiological Studies: A Systematic Review from the UK Biobank Stroke Outcomes Group von Woodfield, Rebecca, Grant, Ian, Sudlow, Cathie L M

Volltext

Accuracy of Patient Self-Report of Stroke: A Systematic Review from the UK Biobank Stroke Outcomes Group von Woodfield, Rebecca, Sudlow, Cathie L M

Volltext

Use of electronic health records to ascertain, validate and phenotype acute myocardial infarction: A systematic review and recommendations von Rubbo, Bruna, Fitzpatrick, Natalie K, Denaxas, Spiros, Daskalopoulou, Marina, Yu, Ning, Patel, Riyaz S, Hemingway, Harry

Volltext

Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis von Zhou, Shang-Ming, Fernandez-Gutierrez, Fabiola, Kennedy, Jonathan, Cooksey, Roxanne, Atkinson, Mark, Denaxas, Spiros, Siebert, Stefan, Dixon, William G, O'Neill, Terence W, Choy, Ernest, Sudlow, Cathie, UK Biobank Follow-up and Outcomes Group, Brophy, Sinead

Volltext bestellen