AIMC Topic: Bias

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Sequence-specific bias correction for RNA-seq data using recurrent neural networks.

BMC genomics Jan 25, 2017
BACKGROUND: The recent success of deep learning techniques in machine learning and artificial intelligence has stimulated a great deal of interest among bioinformaticians, who now wish to bring the power of deep learning to bare on a host of bioinfor...
Humans Neural Networks, Computer Sequence Analysis, RNA Models, Statistical Bias Algorithms Gene Expression Profiling Computational Biology
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Targeted Maximum Likelihood Estimation for Causal Inference in Observational Studies.

American journal of epidemiology Dec 9, 2016
Estimation of causal effects using observational data continues to grow in popularity in the epidemiologic literature. While many applications of causal effect estimation use propensity score methods or G-computation, targeted maximum likelihood esti...
Epidemiologic Research Design Propensity Score Likelihood Functions Confounding Factors, Epidemiologic Exercise Depression Causality Observational Studies as Topic Data Interpretation, Statistical Bias Humans Machine Learning Computer Simulation
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Machine learning to assist risk-of-bias assessments in systematic reviews.

International journal of epidemiology Dec 8, 2015
BACKGROUND: Risk-of-bias assessments are now a standard component of systematic reviews. At present, reviewers need to manually identify relevant parts of research articles for a set of methodological elements that affect the risk of bias, in order t...
Review Literature as Topic Data Mining Datasets as Topic Humans Logistic Models Bias Machine Learning ROC Curve
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The feature selection bias problem in relation to high-dimensional gene data.

Artificial intelligence in medicine Nov 14, 2015
OBJECTIVE: Feature selection is a technique widely used in data mining. The aim is to select the best subset of features relevant to the problem being considered. In this paper, we consider feature selection for the classification of gene datasets. G...
Algorithms Decision Support Techniques Reproducibility of Results Biomarkers, Tumor Gene Expression Profiling Computational Biology Humans Pattern Recognition, Automated Oligonucleotide Array Sequence Analysis Bias Gene Expression Regulation, Neoplastic Data Mining Support Vector Machine Linear Models Databases, Genetic
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RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials.

Journal of the American Medical Informatics Association : JAMIA Jun 22, 2015
OBJECTIVE: To develop and evaluate RobotReviewer, a machine learning (ML) system that automatically assesses bias in clinical trials. From a (PDF-formatted) trial report, the system should determine risks of bias for the domains defined by the Cochra...
Databases as Topic Clinical Trials as Topic Bias Machine Learning Review Literature as Topic Algorithms Data Mining Peer Review, Research Natural Language Processing
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Improving propensity score estimators' robustness to model misspecification using super learner.

American journal of epidemiology Dec 16, 2014
The consistency of propensity score (PS) estimators relies on correct specification of the PS model. The PS is frequently estimated using main-effects logistic regression. However, the underlying model assumptions may not hold. Machine learning metho...
Epidemiologic Methods Data Interpretation, Statistical Humans Bias Artificial Intelligence Propensity Score Computer Simulation
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Ensemble learning of inverse probability weights for marginal structural modeling in large observational datasets.

Statistics in medicine Oct 15, 2014
Inverse probability weights used to fit marginal structural models are typically estimated using logistic regression. However, a data-adaptive procedure may be able to better exploit information available in measured covariates. By combining predicti...
Antiretroviral Therapy, Highly Active Probability Confidence Intervals Humans Spain Computer Simulation Machine Learning Models, Statistical Mortality HIV Infections Data Interpretation, Statistical Confounding Factors, Epidemiologic Logistic Models Bias
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AI Bias and Confounding Risk in Health Feature Engineering for Machine Learning Classification Task.

Studies in health technology and informatics Aug 7, 2025
Recent advancements in machine learning bring unique opportunities in health fields but also pose considerable challenges. Due to stringent ethical considerations and resource constraints, health data can vary in scope, population coverage, and colle...
Machine Learning Risk Assessment Electronic Health Records Female Bias Pregnancy Adult Patient Readmission Cardiovascular Diseases Confounding Factors, Epidemiologic Humans
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FairICP: identifying biases and increasing transparency at the point of care in post-implementation clinical decision support using inductive conformal prediction.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2025
OBJECTIVES: Fairness concerns stemming from known and unknown biases in healthcare practices have raised questions about the trustworthiness of Artificial Intelligence (AI)-driven Clinical Decision Support Systems (CDSS). Studies have shown unforesee...
Decision Support Systems, Clinical Bias Artificial Intelligence Point-of-Care Systems Humans
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Impact of spectrum bias on deep learning-based stroke MRI analysis.

European journal of radiology Jul 1, 2025
PURPOSE: To evaluate spectrum bias in stroke MRI analysis by excluding cases with uncertain acute ischemic lesions (AIL) and examining patient, imaging, and lesion factors associated with these cases.
Humans Deep Learning Aged, 80 and over Retrospective Studies Magnetic Resonance Imaging Male Bias Female Middle Aged Stroke Aged
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