Results 21 to 30 of about 18,044,334 (281)
Ensemble machine learning on gene expression data for cancer classification [PDF]
, 2003 Whole genome RNA expression studies permit systematic approaches to understanding the correlation between gene expression profiles to disease states or different developmental stages of a cell.
Tan, A C, Gilbert, D
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Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria [PDF]
IEEE journal of biomedical and health informatics, 2022 Despite their remarkable performance, deep neural networks remain unadopted in clinical practice, which is considered to be partially due to their lack of explainability. In this work, we apply explainable attribution methods to a pre-trained deep neural
T. Bender +7 more
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Journal of Educational Research in Mathematics, 2020 We investigate teachers' decision making in contexts where they could choose to provide students more authentic experiences with proving. Specifically, we investigate their preferences to depart from norms about what proof problems to assign to students.
Inah Ko, Patricio Herbst
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Rapid Diagnostic Algorithms as a Screening Tool for Tuberculosis: An Assessor Blinded Cross-Sectional Study [PDF]
, 2012 Background: A major obstacle to effectively treat and control tuberculosis is the absence of an accurate, rapid, and low-cost diagnostic tool. A new approach for the screening of patients for tuberculosis is the use of rapid diagnostic classification ...
Michael Ramharter +33 more
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Prospects for the classification of mental disorders in women [PDF]
, 2010 Many mental disorders show marked gender differences as regards prevalence, symptomatology, risk factors or course. Other disorders do per definition only occur in women - e.g. premenstrual dysphoric disorder (PMDD) - or are markedly influenced by female
A. Riecher-Rössler +1 more
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Modeling Learner Heterogeneity: A Mixture Learning Model With Responses and Response Times
Frontiers in Psychology, 2018 The increased popularity of computer-based testing has enabled researchers to collect various types of process data, including test takers' reaction time to assessment items, also known as response times. In recent studies, the relationship between speed
Susu Zhang, Shiyu Wang
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An Efficient Hybrid CNN Classification Model for Tomato Crop Disease
Technologies, 2023 Tomato plants are vulnerable to a broad number of diseases, each of which has the potential to cause significant damage. Diseases that affect crops substantially negatively impact the quantity and quality of agricultural products.
M. Sanida +3 more
semanticscholar +1 more source
Brain Science, 2021 Random Forest (RF) is a bagging ensemble model and has many important advantages, such as robustness to noise, an effective structure for complex multimodal data and parallel computing, and also provides important features that help investigate ...
Minseok Song +4 more
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Classification of functional psychoses and its implication for prognosis: Comparison between ICD-10 and DSM-IV [PDF]
, 2004 Background: The aim was to examine the agreement and differences between ICD-10 and DSM-IV in the classification of functional psychoses. Sampling and Methods: In a sample of 218 first-hospitalised patients, ICD-10 diagnoses were compared with DSM-IV ...
Jäger, Markus +3 more
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Journal of Neurology, 2021 The description of group-level, genotype- and phenotype-associated imaging traits is academically important, but the practical demands of clinical neurology centre on the accurate classification of individual patients into clinically relevant diagnostic,
P. Bede, Aizuri Murad, O. Hardiman
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