This page shows the publications co-authored by Li Zhou and Maxim Topaz.
Towards improved drug allergy alerts: Multidisciplinary expert recommendations. Int J Med Inform. 2017 01; 97:353-355.
Studying Associations Between Heart Failure Self-Management and Rehospitalizations Using Natural Language Processing. West J Nurs Res. 2017 Jan; 39(1):147-165.
Automated identification of wound information in clinical notes of patients with heart diseases: Developing and validating a natural language processing application. Int J Nurs Stud. 2016 Dec; 64:25-31.
Clinicians' Reports in Electronic Health Records Versus Patients' Concerns in Social Media: A Pilot Study of Adverse Drug Reactions of Aspirin and Atorvastatin. Drug Saf. 2016 Mar; 39(3):241-50.
Mining Clinicians' Electronic Documentation to Identify Heart Failure Patients with Ineffective Self-Management: A Pilot Text-Mining Study. Stud Health Technol Inform. 2016; 225:856-7.
Rising drug allergy alert overrides in electronic health records: an observational retrospective study of a decade of experience. J Am Med Inform Assoc. 2016 05; 23(3):601-8.
High Override Rate for Opioid Drug-allergy Interaction Alerts: Current Trends and Recommendations for Future. Stud Health Technol Inform. 2015; 216:242-6.
Drug allergies documented in electronic health records of a large healthcare system. Allergy. 2016 09; 71(9):1305-13.
Food entries in a large allergy data repository. J Am Med Inform Assoc. 2016 Apr; 23(e1):e79-87.
Automated misspelling detection and correction in clinical free-text records. J Biomed Inform. 2015 Jun; 55:188-95.
Identifying Patients with Depression Using Free-text Clinical Documents. Stud Health Technol Inform. 2015; 216:629-33.
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.