Generative transfer learning for measuring plausibility of EHR diagnosis records
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Generative transfer learning for measuring plausibility of EHR diagnosis records
Authors
Keywords
-
Journal
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2020-08-18
DOI
10.1093/jamia/ocaa215
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Polar Labeling: Silver standard algorithm for training disease classifiers
- (2020) Kavishwar B Wagholikar et al. BIOINFORMATICS
- Feature extraction for phenotyping from semantic and knowledge resources
- (2019) Wenxin Ning et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Biases in electronic health record data due to processes within the healthcare system: retrospective observational study
- (2018) Denis Agniel et al. BMJ-British Medical Journal
- Biases in electronic health record data due to processes within the healthcare system: retrospective observational study
- (2018) Denis Agniel et al. BMJ-British Medical Journal
- EHR-based phenotyping: Bulk learning and evaluation
- (2017) Po-Hsiang Chiu et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Enabling phenotypic big data with PheNorm
- (2017) Sheng Yu et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Learning statistical models of phenotypes using noisy labeled training data
- (2016) Vibhu Agarwal et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Electronic medical record phenotyping using the anchor and learn framework
- (2016) Yoni Halpern et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
- (2016) Riccardo Miotto et al. Scientific Reports
- Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources
- (2015) Sheng Yu et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Defining and measuring completeness of electronic health records for secondary use
- (2013) Nicole G. Weiskopf et al. JOURNAL OF BIOMEDICAL INFORMATICS
- A review of approaches to identifying patient phenotype cohorts using electronic health records
- (2013) Chaitanya Shivade et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Data Quality Assessment for Comparative Effectiveness Research in Distributed Data Networks
- (2013) Jeffrey S. Brown et al. MEDICAL CARE
- Next-generation phenotyping of electronic health records
- (2012) G. Hripcsak et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Data Model Considerations for Clinical Effectiveness Researchers
- (2012) Michael G. Kahn et al. MEDICAL CARE
- Exploiting time in electronic health record correlations
- (2011) George Hripcsak et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2)
- (2010) S. N. Murphy et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Prediction Modeling Using EHR Data
- (2010) Jionglin Wu et al. MEDICAL CARE
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started