Automated scoring methods for quantitative interpretation of Tumour infiltrating lymphocytes (TILs) in breast cancer: a systematic review [PDF]
BMC CancerTumour microenvironment (TME) of breast cancer mainly comprises malignant, stromal, immune, and tumour infiltrating lymphocyte (TILs). Assessment of TILs is crucial for determining the disease’s prognosis.
Nurkhairul Bariyah Baharun +5 more
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Automated scoring of the autobiographical interview with natural language processing. [PDF]
Behav Res Methods, 2022 The autobiographical interview has been used in more than 200 studies to assess the content of autobiographical memories. In a typical experiment, participants recall memories, which are then scored manually for internal details (episodic details from ...
van Genugten RDI, Schacter DL.
europepmc +2 more sources
Sleep scoring moving from visual scoring towards automated scoring. [PDF]
Sleep, 2022 This is an Open Access article distributed under the terms of the Creative Commons AttributionNonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium ...
Penzel T.
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Combining machine translation and automated scoring in international large-scale assessments
Large-scale Assessments in EducationBackground Artificial intelligence (AI) is rapidly changing communication and technology-driven content creation and is also being used more frequently in education.
Ji Yoon Jung +2 more
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Frontiers in Education, 2020 To validly assess teachers’ pedagogical content knowledge (PCK), performance-based tasks with open-response formats are required. Automated scoring is considered an appropriate approach to reduce the resource-intensity of human scoring and to achieve ...
Andreas Wahlen +5 more
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A deep learning-based image analysis model for automated scoring of horizontal ocular movement disorders [PDF]
Frontiers in NeurologyIntroductionThis study proposes a deep learning–based image analysis method for automated scoring of the severity of horizontal ocular movement disorders and evaluates its performance against traditional manual scoring methods.MethodsA total of 2,565 ...
Xiao-lu Jin +4 more
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Using Latent Semantic Analysis to Score Short Answer Constructed Responses: Automated Scoring of the Consequences Test. [PDF]
Educ Psychol Meas, 2020 Automated scoring based on Latent Semantic Analysis (LSA) has been successfully used to score essays and constrained short answer responses. Scoring tests that capture open-ended, short answer responses poses some challenges for machine learning ...
LaVoie N +4 more
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Supervised and unsupervised machine learning for automated scoring of sleep-wake and cataplexy in a mouse model of narcolepsy. [PDF]
Sleep, 2020 Despite commercial availability of software to facilitate sleep-wake scoring of electroencephalography (EEG) and electromyography (EMG) in animals, automated scoring of rodent models of abnormal sleep, such as narcolepsy with cataplexy, has remained ...
Exarchos I +6 more
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Analysis of Image Feature Characteristics for Automated Scoring of HER2 in Histology Slides. [PDF]
J Imaging, 2019 The evaluation of breast cancer grades in immunohistochemistry (IHC) slides takes into account various types of visual markers and morphological features of stained membrane regions.
Mukundan R.
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Validation of 'Somnivore', a Machine Learning Algorithm for Automated Scoring and Analysis of Polysomnography Data. [PDF]
Front Neurosci, 2019 Manual scoring of polysomnography data is labor-intensive and time-consuming, and most existing software does not account for subjective differences and user variability.
Allocca G +22 more
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