AIMC Topic: Reproducibility of Results

Clear Filters Showing 4801 to 4810 of 5908 articles

The IDEAL prospective development study format for reporting surgical innovations. An illustrative case study of robotic oesophagectomy.

International journal of surgery (London, England)
BACKGROUND: The early development of innovative surgical procedures is usually reported as retrospective case series, wasting opportunities to provide useful information and introducing bias. We present a report of an innovative procedure in developm...

Briefing in application of machine learning methods in ion channel prediction.

TheScientificWorldJournal
In cells, ion channels are one of the most important classes of membrane proteins which allow inorganic ions to move across the membrane. A wide range of biological processes are involved and regulated by the opening and closing of ion channels. Ion ...

A general proof of consistency of heuristic classification for cognitive diagnosis models.

The British journal of mathematical and statistical psychology
The Asymptotic Classification Theory of Cognitive Diagnosis (Chiu et al., 2009, Psychometrika, 74, 633-665) determined the conditions that cognitive diagnosis models must satisfy so that the correct assignment of examinees to proficiency classes is g...

Robotic nasopharyngectomy via combined endonasal and transantral port: a preliminary cadaveric study.

The Laryngoscope
OBJECTIVES/HYPOTHESIS: The objective of this study was to determine the potential role of a surgical robotic system in nasopharyngeal surgery using bilateral transantral or combined endonasal/transantral port.

Support vector machine classification of brain metastasis and radiation necrosis based on texture analysis in MRI.

Journal of magnetic resonance imaging : JMRI
PURPOSE: To develop a classification model using texture features and support vector machine in contrast-enhanced T1-weighted images to differentiate between brain metastasis and radiation necrosis.

A knowledge-based algorithm for automatic detection of cephalometric landmarks on CBCT images.

International journal of computer assisted radiology and surgery
PURPOSE: Cone-beam computed tomography (CBCT) is now an established component for 3D evaluation and treatment planning of patients with severe malocclusion and craniofacial deformities. Precision landmark plotting on 3D images for cephalometric analy...

Computer-aided lung nodule recognition by SVM classifier based on combination of random undersampling and SMOTE.

Computational and mathematical methods in medicine
In lung cancer computer-aided detection/diagnosis (CAD) systems, classification of regions of interest (ROI) is often used to detect/diagnose lung nodule accurately. However, problems of unbalanced datasets often have detrimental effects on the perfo...

Accurate in silico identification of protein succinylation sites using an iterative semi-supervised learning technique.

Journal of theoretical biology
As a widespread type of protein post-translational modifications (PTMs), succinylation plays an important role in regulating protein conformation, function and physicochemical properties. Compared with the labor-intensive and time-consuming experimen...

Printing 2-dimentional droplet array for single-cell reverse transcription quantitative PCR assay with a microfluidic robot.

Scientific reports
This paper describes a nanoliter droplet array-based single-cell reverse transcription quantitative PCR (RT-qPCR) assay method for quantifying gene expression in individual cells. By sequentially printing nanoliter-scale droplets on microchip using a...

Collating the knowledge base for core outcome set development: developing and appraising the search strategy for a systematic review.

BMC medical research methodology
BACKGROUND: The COMET (Core Outcome Measures in Effectiveness Trials) Initiative is developing a publicly accessible online resource to collate the knowledge base for core outcome set development (COS) and the applied work from different health condi...