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Volume 26, Issue 11, November 2019
Editorial
New approaches to cohort selection
Amber Stubbs and Özlem Uzuner
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1161–1162, https://doi.org/10.1093/jamia/ocz174
Research and Applications
Cohort selection for clinical trials: n2c2 2018 shared task track 1
Amber Stubbs and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1163–1171, https://doi.org/10.1093/jamia/ocz163
Hybrid bag of approaches to characterize selection criteria for cohort identification
V G Vinod Vydiswaran and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1172–1180, https://doi.org/10.1093/jamia/ocz079
Cohort selection for clinical trials using deep learning models
Isabel Segura-Bedmar and Pablo Raez
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1181–1188, https://doi.org/10.1093/jamia/ocz139
Real world evidence in cardiovascular medicine: ensuring data validity in electronic health record-based studies
Tina Hernandez-Boussard and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1189–1194, https://doi.org/10.1093/jamia/ocz119
Optimizing clinical trials recruitment via deep learning
Jelena Gligorijevic and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1195–1202, https://doi.org/10.1093/jamia/ocz064
Cohort selection for clinical trials using hierarchical neural network
Ying Xiong and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1203–1208, https://doi.org/10.1093/jamia/ocz099
Electronic medical record–based cohort selection and direct-to-patient, targeted recruitment: early efficacy and lessons learned
Hailey N Miller and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1209–1217, https://doi.org/10.1093/jamia/ocz168
Clinical trial cohort selection based on multi-level rule-based natural language processing system
Long Chen and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1218–1226, https://doi.org/10.1093/jamia/ocz109
Medical knowledge infused convolutional neural networks for cohort selection in clinical trials
Chi-Jen Chen and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1227–1236, https://doi.org/10.1093/jamia/ocz128
Comparison of the cohort selection performance of Australian Medicines Terminology to Anatomical Therapeutic Chemical mappings
Guan N Guo and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1237–1246, https://doi.org/10.1093/jamia/ocz143
Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification
Michel Oleynik and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1247–1254, https://doi.org/10.1093/jamia/ocz149
High-throughput multimodal automated phenotyping (MAP) with application to PheWAS
Katherine P Liao and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1255–1262, https://doi.org/10.1093/jamia/ocz066
Network context matters: graph convolutional network model over social networks improves the detection of unknown HIV infections among young men who have sex with men
Yang Xiang and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1263–1271, https://doi.org/10.1093/jamia/ocz070
Toward a clinical text encoder: pretraining for clinical natural language processing with applications to substance misuse
Dmitriy Dligach and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1272–1278, https://doi.org/10.1093/jamia/ocz072
ML-Net: multi-label classification of biomedical texts with deep neural networks
Jingcheng Du and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1279–1285, https://doi.org/10.1093/jamia/ocz085
CAESNet: Convolutional AutoEncoder based Semi-supervised Network for improving multiclass classification of endomicroscopic images
Li Tong and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1286–1296, https://doi.org/10.1093/jamia/ocz089
Enhancing clinical concept extraction with contextual embeddings
Yuqi Si and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1297–1304, https://doi.org/10.1093/jamia/ocz096
The importance of health insurance claims data in creating learning health systems: evaluating care for high-need high-cost patients using the National Patient-Centered Clinical Research Network (PCORNet)
Maureen A Smith and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1305–1313, https://doi.org/10.1093/jamia/ocz097
Cost-aware active learning for named entity recognition in clinical text
Qiang Wei and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1314–1322, https://doi.org/10.1093/jamia/ocz102
Reduction of inappropriate medication in older populations by electronic decision support (the PRIMA-eDS project): a survey of general practitioners’ experiences
Anja Rieckert and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1323–1332, https://doi.org/10.1093/jamia/ocz104
DQueST: dynamic questionnaire for search of clinical trials
Cong Liu and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1333–1343, https://doi.org/10.1093/jamia/ocz121
User stories as lightweight requirements for agile clinical decision support development
Vaishnavi Kannan and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1344–1354, https://doi.org/10.1093/jamia/ocz123
Brief Communications
Development of a global infectious disease activity database using natural language processing, machine learning, and human expertise
Joshua Feldman and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1355–1359, https://doi.org/10.1093/jamia/ocz112
Text message alerts to emergency physicians identifying potential study candidates increase clinical trial enrollment
Laura E Simon and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1360–1363, https://doi.org/10.1093/jamia/ocz118
Development and application of a high throughput natural language processing architecture to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies
Majid Afshar and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1364–1369, https://doi.org/10.1093/jamia/ocz068
Case Reports
ARBoR: an identity and security solution for clinical reporting
Eric Venner and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1370–1374, https://doi.org/10.1093/jamia/ocz107
Importance of clinical decision support system response time monitoring: a case report
David Rubins and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1375–1378, https://doi.org/10.1093/jamia/ocz133
Perspective
Putting the “why” in “EHR”: capturing and coding clinical cognition
James J Cimino
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1379–1384, https://doi.org/10.1093/jamia/ocz125
The role of a clinician amid the rise of mobile health technology
William E Yang and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1385–1388, https://doi.org/10.1093/jamia/ocz131
Reviews
Evaluation of interventions to improve inpatient hospital documentation within electronic health records: a systematic review
Natalie Wiebe and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1389–1400, https://doi.org/10.1093/jamia/ocz081
Secondary use of standardized nursing care data for advancing nursing science and practice: a systematic review
Tamara G R Macieira and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1401–1411, https://doi.org/10.1093/jamia/ocz086
Digital biomarkers from geolocation data in bipolar disorder and schizophrenia: a systematic review
Paolo Fraccaro and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Pages 1412–1420, https://doi.org/10.1093/jamia/ocz043
Correspondence
Response to “Impact of HIT on burnout remains unknown – for now”
Dr Rebekah L Gardner and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Page 1421, https://doi.org/10.1093/jamia/ocz077
Corrigenda
Corrigendum to: Drug-drug interaction discovery and demystification using Semantic Web technologies
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Page 1422, https://doi.org/10.1093/jamia/ocz061
Corrigendum to: Can menstrual health apps selected based on users’ needs change health-related factors? A double-blind randomized controlled trial
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Page 1423, https://doi.org/10.1093/jamia/ocz083
Erratum
Erratum to: The complex case of EHRs: examining the factors impacting the EHR user experience
Michael A Tutty and others
Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, Page 1424, https://doi.org/10.1093/jamia/ocz129
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