about
#CochraneTech: Technology and the Future of Systematic ReviewsSemi-automated screening of biomedical citations for systematic reviewsToward modernizing the systematic review pipeline in genetics: efficient updating via data miningRobotReviewer: evaluation of a system for automatically assessing bias in clinical trialsEvaluating Data Abstraction Assistant, a novel software application for data abstraction during systematic reviews: protocol for a randomized controlled trial.Meta-Analyst: software for meta-analysis of binary, continuous and diagnostic dataCharacterizing the (Perceived) Newsworthiness of Health Science Articles: A Data-Driven Approach.The COPD genetic association compendium: a comprehensive online database of COPD genetic associationsA large-scale quantitative analysis of latent factors and sentiment in online doctor reviews.Improving the utility of MeSH® terms using the TopicalMeSH representation.Extracting PICO Sentences from Clinical Trial Reports using Supervised Distant Supervision.Automatically annotating topics in transcripts of patient-provider interactions via machine learning.Modernizing the systematic review process to inform comparative effectiveness: tools and methods.PheKnow-Cloud: A Tool for Evaluating High-Throughput Phenotype Candidates using Online Medical Literature.An exploration of crowdsourcing citation screening for systematic reviews.Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach.Living Systematic Reviews:2. Combining Human and Machine Effort.Automating risk of bias assessment for clinical trials.Single cell time-resolved quorum responses reveal dependence on cell density and configurationAggregating and Predicting Sequence Labels from Crowd Annotations.Automating Biomedical Evidence Synthesis: RobotReviewer.A Neural Candidate-Selector Architecture for Automatic Structured Clinical Text Annotation.Machine Learning for Identifying Randomized Controlled Trials: an evaluation and practitioner's guide.A Neural Candidate-Selector Architecture for Automatic Structured Clinical Text Annotation.Phenotype Instance Verification and Evaluation Tool (PIVET): A Scaled Phenotype Evidence Generation Framework Using Web-Based Medical Literature.A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical LiteratureSyntactic Patterns Improve Information Extraction for Medical SearchModelling Context with User Embeddings for Sarcasm Detection in Social MediaErratum to: Methods for evaluating medical tests and biomarkersNeural information retrieval: at the end of the early yearsOpenMEE : Intuitive, open-source software for meta-analysis in ecology and evolutionary biologyModernizing Evidence Synthesis for Evidence-Based MedicineHumans Require Context to Infer Ironic Intent (so Computers Probably do, too)Reports of the Workshops of the Thirty-First AAAI Conference on Artificial IntelligenceAutomating risk of bias assessment for clinical trialsReports of the 2016 AAAI Workshop ProgramReports of the AAAI 2014 Conference WorkshopsRapid reviews may produce different results to systematic reviews: a meta-epidemiological studyMachine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user studyPerceptions of cervical cancer prevention on Twitter uncovered by different sampling strategies
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Byron C Wallace
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Byron C Wallace
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Byron C Wallace
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Byron C Wallace
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