Venet Osmani
JMIR Medical Informatics · 2015–2019
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Venet Osmani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Venet Osmani's perspective
Ordered by how strongly the researchers Venet Osmani trusts endorse each paper. Same corpus, a different order for every researcher.
- Using Electronic Patient Records to Discover Disease Correlations and Stratify Patient Cohorts
- A high throughput semantic concept frequency based approach for patient identification: a case study using type 2 diabetes mellitus clinical notes.
- Natural Language Processing in Radiology: A Systematic Review.
- Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review
- Opensmile: the munich versatile and fast open-source audio feature extractor
- Clinical Information Extraction Applications: A Literature Review (Journal of Biomedical Informatics)
- Opportunities and obstacles for deep learning in biology and medicine
- Automated annotation and classification of BI-RADS assessment from radiology reports
- Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals
- Early recognition of multiple sclerosis using natural language processing of the electronic health record
Their papers
- Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review (2019) — 468 citations
- Smartphone-Based Recognition of States and State Changes in Bipolar Disorder Patients (2015) — 341 citations