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DBSCAN: Past, present and future | IEEE Conference Publication | IEEE Xplore
Data Mining is all about data analysis techniques. It is useful for extracting hidden and interesting patterns from large datasets. Clustering techniques are important when it comes to extractin... [Read More]
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Frontiers | Best Practices for Developing and Validating Scales for Health, Social, and Behavioral Research: A Primer
Scale development and validation are critical to much of the work in the health, social, and behavioral sciences. However, the constellation of techniques required for scale development and evaluation... [Read More]
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Using machine learning to characterize heart failure across the scales | SpringerLink
AbstractHeart failure is a progressive chronic condition in which the heart undergoes detrimental changes in structure and functionacross multiple scales in time and space. Multiscale models of cardia... [Read More]
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Evaluation and Monitoring of Superoxide Dismutase (SOD) Activity and its Clinical Significance in Gastric Cancer: A Systematic Review and Meta-Analysis
Abstract BACKGROUND: This systematic review of the literature and meta-analysis aimed to review the evaluation and monitoring of superoxide dismutase (SOD) activity and its clinical significan... [Read More]
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Machine-learned selection of psychological questionnaire items relevant to the development of persistent pain after breast cancer surgery
AbstractBackgroundPrevention of persistent pain after breast cancer surgery, via early identification of patients at high risk, is a clinical need. Psychological factors are among the most consist... [Read More]
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Pituitary Adenoma Volumetry with 3D Slicer | PLOS ONE
In this study, we present pituitary adenoma volumetry using the free and open source medical image computing platform for biomedical research: (3D) Slicer. Volumetric changes in cerebral pathologies l... [Read More]
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Use of neuroimaging as a tool to monitor brain imaging changes in politicians related to unethical decision making
Abstract Background Political neuroimaging is an emerging field investigating neurological roots of political behavior, while many brain imaging techniques such as magnetic resonance... [Read More]
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MRI image analysis methods and applications: an algorithmic perspective using brain tumors as an exemplar | Neuro-Oncology Advances | Oxford Academic
Abstract. The use of magnetic resonance imaging (MRI) in healthcare and the emergence of radiology as a practice are both relatively new compared with the class [Read More]
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Natural language processing in psychiatry: the promises and perils of a transformative approach | The British Journal of Psychiatry | Cambridge Core
A person's everyday language can indicate patterns of thought and emotion predictive of mental illness. Here, we discuss how natural language processing methods can be used to extract indicators... [Read More]
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Computer Methods and Programs in Biomedicine - Journal - Elsevier
To encourage the development of formal computing methods, and their application in biomedical research and medical practice, by illustration of fundamental pr… [Read More]
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Overfitting in prediction models – Is it a problem only in high dimensions?
The growing recognition that human diseases are molecularly heterogeneous has stimulated interest in the development of prognostic and predictive classifiers for patient selection and stratifica... [Read More]
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Cross-Sectional Design
Cohorts of individuals are measured at the same time in order to research temporal or age differences. By taking a cross section of a population, researchers avoid the disadv... [Read More]
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Empirical evidence of recruitment bias in a network study of people who inject drugs
The results provide the evidence that for this study population of PWID, recruitment bias may significantly alter the sample composition, making results of RDS surveys less reliable. More broadly,... [Read More]