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Comparison of Supervised Learning Models for the Prediction of Coronary Artery Disease
(Association for Computing MachineryUS, 2021)
Cardiovascular diseases and Coronary Artery Disease (CAD) are the leading causes of mortality among people of different ages and conditions. The use of different and not so invasive biomarkers to detect these types of ...
Diagnostic Support for Alzheimers Disease through Feature-Based Brain MRI Retrieval and Unsupervised Distance Learning
(2016-12-16)
Initial stages of Alzheimer's disease are easily confused with the normal aging process. Additionally, the methodology involved in the diagnosis by radiologists can be subjective and difficult to document. In this scenario, ...
Deep Learning-aided Parkinson's Disease Diagnosis from Handwritten Dynamics
(Ieee, 2016-01-01)
Parkinson's Disease (PD) automatic identification in early stages is one of the most challenging medicine-related tasks to date, since a patient may have a similar behaviour to that of a healthy individual at the very early ...
Alzheimer Disease Detection Techniques and Methods: A Review
Brain pathological changes linked with Alzheimer's disease (AD) can be measured with Neuroimaging. In the past few years, these measures are rapidly integrated into the signatures of Alzheimer disease (AD) with the help ...
DISCUSSION ON DISEASES OF NOT LEARNIN THE INCLUSIVE EDUCATIONAL CONTEXT: WHAT DO EARLY CHILDHOOD EDUCATION TEACHERS SAY?
(Univ Estadual Paulista-unesp, Fac Ciencias Letras Assis, 2019-04-01)
Due to the excessive increase of referrals and diagnoses that result in diseases of not learn, this study aimed to understand how five teachers who teach kindergarten classes, in a municipal Early Childhood Education school, ...
Preliminary diagnosis of ophtalmological diseases through machine learning techniques
(2011)
Although one can find several patents addressing surgery procedures to tackle ophthalmological diseases, it is very unusual to find other ones that apply machine learning techniques to automatically identify them. In this ...
MEDICALIZATION OF EDUCATION AND THE MEANINGS OF NOT LEARNING DISCURSIVIZED IN PEDAGOGICAL DOCUMENTATION: A LOOK AT SCHOOL DISCOURSE
(Univ Estadual Paulista-unesp, Fac Ciencias Letras Assis, 2020-12-01)
In the field of education, there is a network of medicalizing and pathologizing explanations that seek to justify not learning, under which diseases of not learning proliferate attributed to students in the initial phase ...
Applications of machine learning methods to genomic selection in breeding wheat for rust resistance
(Crop Science Society of America, 2018)
Multimodal mechanisms of human socially reinforced learning across neurodegenerative diseases
(Oxford University Press, 2021-03)
Social feedback can selectively enhance learning in diverse domains. Relevant neurocognitive mechanisms have been studied mainly in healthy persons, yielding correlational findings. Neurodegenerative lesion models, coupled ...