Automated diagnosis of plus disease in retinopathy of prematurity using deep convolutional neural networks

JM Brown, JP Campbell, A Beers, K Chang… - JAMA …, 2018 - jamanetwork.com
Importance Retinopathy of prematurity (ROP) is a leading cause of childhood blindness
worldwide. The decision to treat is primarily based on the presence of plus disease, defined …

[HTML][HTML] Are there valid proxy measures of clinical behaviour? A systematic review

S Hrisos, MP Eccles, JJ Francis, HO Dickinson… - Implementation …, 2009 - Springer
Background Accurate measures of health professionals' clinical practice are critically
important to guide health policy decisions, as well as for professional self-evaluation and for …

[HTML][HTML] The Oxford classification of IgA nephropathy: pathology definitions, correlations, and reproducibility

AWG of the International, IAN Network, ISD Roberts… - Kidney international, 2009 - Elsevier
Pathological classifications in current use for the assessment of glomerular disease have
been typically opinion-based and built on the expert assumptions of renal pathologists about …

Agreement, the f-measure, and reliability in information retrieval

G Hripcsak, AS Rothschild - Journal of the American medical …, 2005 - academic.oup.com
Abstract Information retrieval studies that involve searching the Internet or marking phrases
usually lack a well-defined number of negative cases. This prevents the use of traditional …

BI-RADS Lexicon for US and Mammography: Interobserver Variability and Positive Predictive Value1

E Lazarus, MB Mainiero, B Schepps, SL Koelliker… - Radiology, 2006 - pubs.rsna.org
Purpose: To retrospectively evaluate interobserver variability between breast radiologists by
using terminology of the fourth edition of the Breast Imaging Reporting and Data System (BI …

Identifying patient smoking status from medical discharge records

Ö Uzuner, I Goldstein, Y Luo… - Journal of the American …, 2008 - academic.oup.com
The authors organized a Natural Language Processing (NLP) challenge on automatically
determining the smoking status of patients from information found in their discharge records …

Recognizing obesity and comorbidities in sparse data

Ö Uzuner - Journal of the American Medical Informatics …, 2009 - academic.oup.com
In order to survey, facilitate, and evaluate studies of medical language processing on clinical
narratives, i2b2 (Informatics for Integrating Biology to the Bedside) organized its second …

[HTML][HTML] Preparing family caregivers for death and bereavement. Insights from caregivers of terminally ill patients

RS Hebert, R Schulz, VC Copeland… - Journal of pain and …, 2009 - Elsevier
Many family caregivers are unprepared for the death of their loved one and may suffer from
worse mental health as a result. We therefore sought to determine the factors that family …

Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age‐related macular degeneration

C González‐Gonzalo, V Sánchez‐Gutiérrez… - Acta …, 2020 - Wiley Online Library
Purpose To validate the performance of a commercially available, CE‐certified deep
learning (DL) system, Ret CAD v. 1.3. 0 (Thirona, Nijmegen, The Netherlands), for the joint …

[图书][B] Healthcare data analytics

CK Reddy, CC Aggarwal - 2015 - books.google.com
Supplying a comprehensive overview of healthcare analytics research, Healthcare Data
Analytics provides an understanding of the analytical techniques currently available to solve …