Natural language processing to ascertain two key variables from operative reports in ophthalmology

Building a Natural Language Processing Tool to Identify Patients With High Clinical Suspicion for Kawasaki Disease from Emergency Department Notes

(2016) Son Doan et al.   ACADEMIC EMERGENCY MEDICINE

Comparative Effectiveness of Antibiotic Prophylaxis in Cataract Surgery

(2016) Lisa J. Herrinton et al.   OPHTHALMOLOGY

Comparative Effectiveness of Three Prophylactic Strategies to Prevent Clinical Macular Edema after Phacoemulsification Surgery

(2015) Neal H. Shorstein et al.   OPHTHALMOLOGY

Current and Future Applications of Natural Language Processing in the Field of Digestive Diseases

(2014) Jason K. Hou et al.   Clinical Gastroenterology and Hepatology

Towards better clinical prediction models: seven steps for development and an ABCD for validation

(2014) E. W. Steyerberg et al.   EUROPEAN HEART JOURNAL

Six-year incidence of endophthalmitis after cataract surgery: Swedish national study

(2012) Emma Friling et al.   JOURNAL OF CATARACT AND REFRACTIVE SURGERY

Automated Identification of Postoperative Complications Within an Electronic Medical Record Using Natural Language Processing

(2011) Harvey J. Murff et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Human aqueous humor concentrations of besifloxacin, moxifloxacin, and gatifloxacin after topical ocular application

(2011) Eric D. Donnenfeld et al.   JOURNAL OF CATARACT AND REFRACTIVE SURGERY

Discerning Tumor Status from Unstructured MRI Reports—Completeness of Information in Existing Reports and Utility of Automated Natural Language Processing

(2009) Lionel T. E. Cheng et al.   JOURNAL OF DIGITAL IMAGING