Cargando…

Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records

BACKGROUND: Conducting a systematic review demands a significant amount of effort in screening titles and abstracts. To accelerate this process, various tools that utilize active learning have been proposed. These tools allow the reviewer to interact with machine learning software to identify releva...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ferdinands, Gerbrich, Schram, Raoul, de Bruin, Jonathan, Bagheri, Ayoub, Oberski, Daniel L., Tummers, Lars, Teijema, Jelle Jasper, van de Schoot, Rens
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280866/ https://www.ncbi.nlm.nih.gov/pubmed/37340494 http://dx.doi.org/10.1186/s13643-023-02257-7

Ejemplares similares

Active learning-based systematic reviewing using switching classification models: the case of the onset, maintenance, and relapse of depressive disorders
por: Teijema, Jelle Jasper, et al.
Publicado: (2023)

Modeling physician variability to prioritize relevant medical record information
por: Tajgardoon, Mohammadamin, et al.
Publicado: (2020)

Facing off with Scylla and Charybdis: a comparison of scalar, partial, and the novel possibility of approximate measurement invariance
por: van de Schoot, Rens, et al.
Publicado: (2013)

Leveraging Eye Tracking to Prioritize Relevant Medical Record Data: Comparative Machine Learning Study
por: King, Andrew J, et al.
Publicado: (2020)

Latent Growth Mixture Models to estimate PTSD trajectories
por: Van de Schoot, Rens
Publicado: (2015)

Latent trajectory studies: the basics, how to interpret the results, and what to report
por: van de Schoot, Rens
Publicado: (2015)

The Use of Questionable Research Practices to Survive in Academia Examined With Expert Elicitation, Prior-Data Conflicts, Bayes Factors for Replication Effects, and the Bayes Truth Serum
por: van de Schoot, Rens, et al.
Publicado: (2021)

How the Choice of Distance Measure Influences the Detection of Prior-Data Conflict
por: Lek, Kimberley, et al.
Publicado: (2019)

Classifying transcription factor targets and discovering relevant biological features
por: Holloway, Dustin T, et al.
Publicado: (2008)

Prioritization of thermal energy techniques by employing picture fuzzy soft power average and geometric aggregation operators
por: Mahmood, Tahir, et al.
Publicado: (2023)

Constrained statistical inference: sample-size tables for ANOVA and regression
por: Vanbrabant, Leonard, et al.
Publicado: (2015)

Systematic search of Bayesian statistics in the field of psychotraumatology
por: van de Schoot, Rens, et al.
Publicado: (2017)

Prioritizing and characterizing functionally relevant genes across human tissues
por: Somepalli, Gowthami, et al.
Publicado: (2021)

Discovering Conformational Sub-States Relevant to Protein Function
por: Ramanathan, Arvind, et al.
Publicado: (2011)

Moving Beyond Traditional Null Hypothesis Testing: Evaluating Expectations Directly
por: de Schoot, Rens Van, et al.
Publicado: (2011)

Application and Evaluation of an Expert Judgment Elicitation Procedure for Correlations
por: Zondervan-Zwijnenburg, Mariëlle, et al.
Publicado: (2017)

Efficient and biologically relevant consensus strategy for Parkinson’s disease gene prioritization
por: Cruz-Monteagudo, Maykel, et al.
Publicado: (2016)

Communicable Diseases Prioritized According to Their Public Health Relevance, Sweden, 2013
por: Dahl, Viktor, et al.
Publicado: (2015)

Nonconscious information can be identified as task-relevant but not prioritized in working memory
por: Pedale, Tiziana, et al.
Publicado: (2022)

Inefficient prioritization of task-relevant attributes during instrumental information demand
por: Rischall, Isabella, et al.
Publicado: (2023)

A Systematic Approach for Discovering Novel, Clinically Relevant Bacteria
por: Schlaberg, Robert, et al.
Publicado: (2012)

Using phidelta diagrams to discover relevant patterns in multilayer perceptrons
por: Armano, Giuliano
Publicado: (2020)

Illustrating Bayesian Evaluation of Informative Hypotheses for Regression Models
por: Kluytmans, Anouck, et al.
Publicado: (2012)

Identity Statuses as Developmental Trajectories: A Five-Wave Longitudinal Study in Early-to-Middle and Middle-to-Late Adolescents
por: Meeus, Wim, et al.
Publicado: (2011)

Approximate Measurement Invariance of Willingness to Sacrifice for the Environment Across 30 Countries: The Importance of Prior Distributions and Their Visualization
por: Arts, Ingrid, et al.
Publicado: (2021)

Editorial: Moving Beyond Non-informative Prior Distributions: Achieving the Full Potential of Bayesian Methods for Psychological Research
por: Koenig, Christoph, et al.
Publicado: (2021)

Discovering novel disease comorbidities using electronic medical records
por: Chaganti, Shikha, et al.
Publicado: (2019)

A Cause of Falsely High Noise Level in Signal Averaged Electrocardiogram Recordings
por: Donoiu, I., et al.
Publicado: (2011)

The Averaged EMGs Recorded from the Arm Muscles During Bimanual “Rowing” Movements
por: Tomiak, Tomasz, et al.
Publicado: (2015)

Correction: Communicable Diseases Prioritized According to Their Public Health Relevance, Sweden, 2013
por: Dahl, Viktor, et al.
Publicado: (2017)

Posttraumatic Stress Symptoms after Exposure to Two Fire Disasters: Comparative Study
por: Van Loey, Nancy E., et al.
Publicado: (2012)

Analyzing indirect effects in cluster randomized trials. The effect of estimation method, number of groups and group sizes on accuracy and power
por: Hox, Joop J., et al.
Publicado: (2014)

Using Bayesian statistics for modeling PTSD through Latent Growth Mixture Modeling: implementation and discussion
por: Depaoli, Sarah, et al.
Publicado: (2015)

The experience of traumatic events disrupts the measurement invariance of a posttraumatic stress scale
por: Lommen, Miriam J. J., et al.
Publicado: (2014)

Proposal for a Five-Step Method to Elicit Expert Judgment
por: Veen, Duco, et al.
Publicado: (2017)

Limit Behaviour of Upper and Lower Expected Time Averages in Discrete-Time Imprecise Markov Chains
por: T’Joens, Natan, et al.
Publicado: (2020)

Feasibility of Prioritizing Drug–Drug-Event Associations Found in Electronic Health Records
por: Banda, Juan M., et al.
Publicado: (2015)

Brain songs framework used for discovering the relevant timescale of the human brain
por: Deco, Gustavo, et al.
Publicado: (2019)

Discovering themes in medical records of patients with psychogenic non-epileptic seizures
por: Lay, Joshua, et al.
Publicado: (2020)

Automatic Prediction of Recurrence of Major Cardiovascular Events: A Text Mining Study Using Chest X-Ray Reports
por: Bagheri, Ayoub, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_4k32bq8q1eqhqlg052bcrvki7t