S
Shreyasee Pradhan
Researcher at National University of Singapore
Publications - 8
Citations - 208
Shreyasee Pradhan is an academic researcher from National University of Singapore. The author has contributed to research in topics: Systematic review & Clinical trial. The author has an hindex of 7, co-authored 8 publications receiving 197 citations. Previous affiliations of Shreyasee Pradhan include Duke University.
Papers
More filters
Journal ArticleDOI
What Leads Indians to Participate in Clinical Trials? A Meta-Analysis of Qualitative Studies
Jatin Shah,Amruta Phadtare,Dimple Rajgor,Dimple Rajgor,Meenakshi Vaghasia,Shreyasee Pradhan,Shreyasee Pradhan,Hilary Zelko,Ricardo Pietrobon,Ricardo Pietrobon +9 more
TL;DR: Factors that facilitated and barriers that have negative implications on trial participation decisions in Indian subjects are identified and due consideration and weightage should be assigned to these factors while planning future trials in India.
Journal ArticleDOI
Electronic Data Capture for Registries and Clinical Trials in Orthopaedic Surgery: Open Source versus Commercial Systems
Jatin Shah,Dimple Rajgor,Dimple Rajgor,Shreyasee Pradhan,Shreyasee Pradhan,Mariana McCready,Amrapali Zaveri,Ricardo Pietrobon +7 more
TL;DR: An overview of EDC systems, their types, and related pros and cons are provided as well as to describe commonly used EDC platforms and their features and simple steps involved in designing a registry/clinical study in DADOS P, an open source EDC system.
Proceedings ArticleDOI
Good to be Bad? Distinguishing between Positive and Negative Citations in Scientific Impact
Diana Cabral Cavalcanti,Ricardo B. C. Prudêncio,Shreyasee Pradhan,Jatin Shah,Ricardo Pietrobon +4 more
TL;DR: In this article, the authors used sentiment analysis to rate citations as positive, neutral or negative, using the SentiWordNet lexicon to rate the degree of positivity and negativity for each adjective and then computed relevance scores to rank citations according to the sentiment expressed in the text corresponding to each citation.
Proceedings Article
Extracting Formulaic and Free Text Clinical Research Articles Metadata using Conditional Random Fields
TL;DR: This work explores the use of conditional random fields (CRFs) to automatically extract important metadata from clinical research articles to show an acceptable level of performance for formulaic metadata and a high precision for those found in the free text.
Journal ArticleDOI
Center of excellence in research reporting in neurosurgery--diagnostic ontology.
Amrapali Zaveri,Jatin Shah,Shreyasee Pradhan,Clarissa Garcia Rodrigues,Jacson Barros,Beng Ti Ang,Ricardo Pietrobon +6 more
TL;DR: A computational diagnostic ontology is formulated containing 91 elements, including classes and sub-classes, which are required to conduct Systematic Reviews - Meta Analysis for diagnostic studies, which will assist in standardized reporting of diagnostic articles.