AIMC Topic: Selection Bias

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Human selection bias drives the linear nature of the more ground truth effect in explainable deep learning optical coherence tomography image segmentation.

Journal of biophotonics Nov 8, 2023
Supervised deep learning (DL) algorithms are highly dependent on training data for which human graders are assigned, for example, for optical coherence tomography (OCT) image annotation. Despite the tremendous success of DL, due to human judgment, th...
Deep Learning Tomography, Optical Coherence Selection Bias Humans Algorithms
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Research Participant Selection Bias in the Workshop Using Socially Assistive Robots for Older Adults and Its Effect on Population Representativeness.

International journal of environmental research and public health May 22, 2023
Every research participant has their own personality characteristics. For example, older adults assisted by socially assistive robots (SAR) may have their own unique characteristics and may not be representative of the general population of older adu...
Japan Social Isolation Extraversion, Psychological Robotics Selection Bias Female Aged Male Aged, 80 and over Middle Aged Humans
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Fair comparisons: Life course selection bias and the effect of father absence on US children.

Advances in life course research Dec 16, 2021
Studies have shown that father absence in opposite-gender couples has detrimental effects on children's wellbeing, net of selection bias. However, life course informed research suggests that the problem of selection bias may be more complex than curr...
Father-Child Relations Child Adolescent Humans Selection Bias Child, Preschool Bayes Theorem Male Fathers Life Change Events
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On learning disentangled representations for individual treatment effect estimation.

Journal of biomedical informatics Oct 30, 2021
OBJECTIVE: Estimating the individualized treatment effect (ITE) from observational data is a challenging task due to selection bias, which results from the distributional discrepancy between different treatment groups caused by the dependence between...
Machine Learning Prognosis Selection Bias Learning Bias
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Robot-assisted versus open radical cystectomy: A cohort study on perioperative outcomes accounting for stage selection bias and surgical experience.

The international journal of medical robotics + computer assisted surgery : MRCAS May 5, 2021
BACKGROUND: Most comparisons of robot-assisted (RARC) versus open radical cystectomy (ORC) for urothelial carcinoma do not factor the inherent stage selection bias or surgical experience.
Robotics Robotic Surgical Procedures Treatment Outcome Urinary Bladder Neoplasms Cystectomy Selection Bias Carcinoma, Transitional Cell Postoperative Complications Cohort Studies Humans
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One Algorithm May Not Fit All: How Selection Bias Affects Machine Learning Performance.

Radiographics : a review publication of the Radiological Society of North America, Inc Sep 25, 2020
Machine learning (ML) algorithms have demonstrated high diagnostic accuracy in identifying and categorizing disease on radiologic images. Despite the results of initial research studies that report ML algorithm diagnostic accuracy similar to or excee...
Selection Bias Terminology as Topic Machine Learning Diagnostic Imaging Humans
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Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys.

PloS one Apr 22, 2020
Modern survey methods may be subject to non-observable bias, from various sources. Among online surveys, for example, selection bias is prevalent, due to the sampling mechanism commonly used, whereby participants self-select from a subgroup whose cha...
Propensity Score Computer Simulation Surveys and Questionnaires Algorithms Humans Research Design Machine Learning Logistic Models Data Interpretation, Statistical Selection Bias
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Asynchronous event-based sampling data for impulsive protocol on consensus of non-linear multi-agent systems.

Neural networks : the official journal of the International Neural Network Society Mar 27, 2019
In this paper, we discuss the consensus problem of non-linear multi-agent systems where an impulsive protocol with event-based asynchronously sampled data is adopted. Systems that communicate by data asynchronously sampled in limited time intervals a...
Selection Bias Datasets as Topic Neural Networks, Computer
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Correcting Classifiers for Sample Selection Bias in Two-Phase Case-Control Studies.

Computational and mathematical methods in medicine Sep 24, 2017
Epidemiological studies often utilize stratified data in which rare outcomes or exposures are artificially enriched. This design can increase precision in association tests but distorts predictions when applying classifiers on nonstratified data. Sev...
Hepatitis Machine Learning Selection Bias Software Humans Computer Simulation Case-Control Studies Patient Selection Algorithms Research Design
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Pinning synchronization of memristor-based neural networks with time-varying delays.

Neural networks : the official journal of the International Neural Network Society May 18, 2017
In this paper, the synchronization of memristor-based neural networks with time-varying delays via pinning control is investigated. A novel pinning method is introduced to synchronize two memristor-based neural networks which denote drive system and ...
Selection Bias Electronics Neural Networks, Computer Time Factors
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