Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death

Childhood respiratory illness presentation and service utilisation in primary care: a six-year cohort study in Wellington, New Zealand, using natural language processing (NLP) software

(2017) Anthony Dowell et al.   BMJ Open

Annotating patient clinical records with syntactic chunks and named entities: the Harvey Corpus

(2016) Aleksandar Savkov et al.   Language Resources and Evaluation

Cohort profile of the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register: current status and recent enhancement of an Electronic Mental Health Record-derived data resource

(2016) Gayan Perera et al.   BMJ Open

Quality and Outcomes Framework: what have we learnt?:

(2016) Martin Roland et al.   BMJ-British Medical Journal

Quality and Outcomes Framework: what have we learnt?:

(2016) Martin Roland et al.   BMJ-British Medical Journal

Accessing primary care Big Data: the development of a software algorithm to explore the rich content of consultation records

(2015) J MacRae et al.   BMJ Open

Development of phenotype algorithms using electronic medical records and incorporating natural language processing

(2015) K. P. Liao et al.   BMJ-British Medical Journal

Development of phenotype algorithms using electronic medical records and incorporating natural language processing

(2015) K. P. Liao et al.   BMJ-British Medical Journal

Prevalence of Heart Failure Signs and Symptoms in a Large Primary Care Population Identified Through the Use of Text and Data Mining of the Electronic Health Record

(2014) Rajakrishnan Vijayakrishnan et al.   JOURNAL OF CARDIAC FAILURE

Completeness and diagnostic validity of recording acute myocardial infarction events in primary care, hospital care, disease registry, and national mortality records: cohort study

(2013) E. Herrett et al.   BMJ-British Medical Journal

The freetext matching algorithm: a computer program to extract diagnoses and causes of death from unstructured text in electronic health records

(2012) Anoop D Shah et al.   BMC Medical Informatics and Decision Making

Data Resource Profile: Cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER)

(2012) S. C. Denaxas et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Extracting Diagnoses and Investigation Results from Unstructured Text in Electronic Health Records by Semi-Supervised Machine Learning

(2012) Zhuoran Wang et al.   PLoS One

Using free text information to explore how and when GPs code a diagnosis of ovarian cancer: an observational study using primary care records of patients with ovarian cancer

(2011) A. R. Tate et al.   BMJ Open

Approaches to enhancing the validity of coded data in electronic medical records

(2010) Dipak Kalra et al.   Primary Care Respiratory Journal

Validation and validity of diagnoses in the General Practice Research Database: a systematic review

(2009) Emily Herrett et al.   BRITISH JOURNAL OF CLINICAL PHARMACOLOGY