Braininformatics.springeropen.com

Machine and cognitive intelligence for human health: systematic …

Inspired by Zhong et al. , we categorized the scopes of Web intelligence (Fig. 12) in the 81 articles into Web-based applications (n = 44), Web mining and farming (n = 24), Web information management (n = 7), ontological engineering (n = 4), … See more

Actived: 7 days ago

URL: https://braininformatics.springeropen.com/articles/10.1186/s40708-022-00153-9

Interactive machine learning for health informatics: when do we …

WebMachine learning (ML) is the fastest growing field in computer science, and health informatics is among the greatest challenges. The goal of ML is to develop …

Category: Health Go Health

Brain MRI analysis for Alzheimer’s disease diagnosis

WebAlzheimer’s disease is an incurable, progressive neurological brain disorder. Earlier detection of Alzheimer’s disease can help with proper treatment and prevent brain …

Category: Health Go Health

Harnessing the potential of machine learning and artificial

WebProgress in dementia research has been limited, with substantial gaps in our knowledge of targets for prevention, mechanisms for disease progression, and disease …

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Detecting depression using an ensemble classifier based

WebMajor depressive disorder (MDD) is one of the most prevalent healthcare issues worldwide [].According to the 2012 world health journal by the World Health …

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Home Brain Informatics

WebBrain Informatics is an international, peer-reviewed, interdisciplinary open-access journal published under SpringerOpen.Brain Informatics provides a unique …

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About Brain Informatics

WebBrain Informatics is an international, peer-reviewed, interdisciplinary open-access journal published under SpringerOpen. Brain Informatics provides a unique platform for …

Category: Health Go Health

Single classifier vs. ensemble machine learning approaches for …

WebEarly prediction of mental health issues among individuals is paramount for early diagnosis and treatment by mental health professionals. One of the promising …

Category: Health Go Health

Deep learning and machine learning in psychiatry: a survey of …

WebInformatics paradigms for brain and mental health research have seen significant advances in recent years. These developments can largely be attributed to the …

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Classification of epileptic EEG signals based on simple

WebEpilepsy is a disorder which affects the human brain and hugely impairs patients’ daily lives. It is characterized by recurrent and sudden incidence of epileptic …

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Application of deep learning in detecting neurological

WebNeuroimaging, in particular magnetic resonance imaging (MRI), has been playing an important role in understanding brain functionalities and its disorders during …

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A review of heterogeneous data mining for brain disorder …

WebWith rapid advances in neuroimaging techniques, the research on brain disorder identification has become an emerging area in the data mining community. …

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Healing the next generation: an adaptive agent model for the …

WebParents play an important role in the mental development of a child. In our previous work, we addressed how a narcissistic parent influences a child (online/offline) …

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Evaluating deep learning EEG-based mental stress classification in

WebMental stress is a major individual and societal burden and one of the main contributing factors that lead to pathologies such as depression, anxiety disorders, heart …

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The effects of emotional states and traits on time perception

WebModels of time perception share an element of scalar expectancy theory known as the internal clock, containing specific mechanisms by which the brain is able to …

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Articles Brain Informatics

WebIt is impossible to halt the death of brain cells, Akhilesh Deep Arya, Sourabh Singh Verma, Prasun Chakarabarti, Tulika Chakrabarti, Ahmed A. Elngar, Ali …

Category: Health Go Health

Machine learning-based ABA treatment recommendation and

WebAutism spectrum is a brain development condition that impairs an individual’s capacity to communicate socially and manifests through strict routines and …

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Brain–computer interface: trend, challenges, and threats

WebBrain–computer interface (BCI), an emerging technology that facilitates communication between brain and computer, has attracted a great deal of research in …

Category: Health Go Health

Machine learning for cognitive behavioral analysis: datasets, …

WebHuman behaviour reflects cognitive abilities. Human cognition is fundamentally linked to the different experiences or characteristics of …

Category: Health Go Health

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