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Investigating Deep Learning Approaches for Hate Speech Detection in Social Media ...
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The Collaborative Ocular Tuberculosis Study (COTS) Consensus (CON) Group Meeting Proceedings ...
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Rupesh Agrawal; Testi, Ilaria; Sarakshi Mahajan; Yew Sen Yuen; Aniruddha Agarwal; Rousselot, Andres; Dhananjay Raje; Gunasekeran, Dinesh Visva; Onn Min Kon; Talin Barisani-Asenbauer; Kempen, John H.; Amod Gupta; Jabs, Douglas A.; Smith, Justine R.; Bodaghi, Bahram; Zierhut, Manfred; DeSmet, Marc; Cluskey, Peter Mc; Agarwal, Mamta; Agarwal, Manisha; Aggarwal, Kanika; Agrawal, Mukesh; Al-Dhibi, Hassan; Androudi, Sofia; Asyari, Fatma; Manohar Babu Balasundaram; Murthy, Kalpana Babu; Baglivo, Edoardo; Alay Banker; Bansal, Reema; Soumyava Basu; Digamber Behera; Jyotirmay Biswas; Carreño, Ester; Caspers, Laure; Chee, Soon Phaik; Chhabra, Romi; Cimino, Luca; Rio, Luz Elena Concha Del; Cunningham, Emmett T.; Andrè Luiz Land Curi; Das, Dipankar; Denisova, Ekaterina; Denniston, Alastair K; Marie-Hélène Errera; Fonollosa, Alejandro; George, Amala; Goldstein, Debra A.; Crosier, Yan Guex; Gurbaxani, Avinash. - : Taylor & Francis, 2020
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Abstract:
An international, expert led consensus initiative was set up by the Collaborative Ocular Tuberculosis Study (COTS) group to develop systematic, evidence, and experience-based recommendations for the treatment of ocular TB using a modified Delphi technique process. In the first round of Delphi, the group identified clinical scenarios pertinent to ocular TB based on five clinical phenotypes (anterior uveitis, intermediate uveitis, choroiditis, retinal vasculitis, and panuveitis). Using an interactive online questionnaires, guided by background knowledge from published literature, 486 consensus statements for initiating ATT were generated and deliberated amongst 81 global uveitis experts. The median score of five was considered reaching consensus for initiating ATT. The median score of four was tabled for deliberation through Delphi round 2 in a face-to-face meeting. This report describes the methodology adopted and followed through the consensus process, which help elucidate the guidelines for initiating ATT ...
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Keyword:
110309 Infectious Diseases; 69999 Biological Sciences not elsewhere classified; Computational Biology; FOS Biological sciences; FOS Health sciences; Genetics; Medicine; Science Policy
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URL: https://tandf.figshare.com/articles/The_Collaborative_Ocular_Tuberculosis_Study_COTS_Consensus_CON_Group_Meeting_Proceedings/12089103/1 https://dx.doi.org/10.6084/m9.figshare.12089103.v1
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The Collaborative Ocular Tuberculosis Study (COTS) Consensus (CON) Group Meeting Proceedings ...
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JUNLP@SemEval-2020 Task 9:Sentiment Analysis of Hindi-English code mixed data using Grid Search Cross Validation ...
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Current ophthalmology practice patterns for syphilitic uveitis
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Relation Extraction of Medical Concepts Using Categorization and Sentiment Analysis
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Analyzing Roles of Classifiers and Code-Mixed factors for Sentiment Identification ...
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Sentiment Analysis of Code-Mixed Indian Languages: An Overview of SAIL_Code-Mixed Shared Task @ICON-2017 ...
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Language Identification of Bengali-English Code-Mixed data using Character & Phonetic based LSTM Models ...
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Relation Extraction of Medical Concepts Using Categorization and Sentiment Analysis
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A Multilevel Approach to Sentiment Analysis of Figurative Language in Twitter
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Authorship Verification - An Approach based on Random Forest ...
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Lexical resource for medical events: a polarity based approach
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Identifying Bengali Multiword Expressions using Semantic Clustering ...
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