Braininformatics.springeropen.com

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 …

Actived: 6 days ago

URL: https://braininformatics.springeropen.com/articles/10.1007/s40708-016-0042-6

Machine and cognitive intelligence for human health: systematic …

WEBThere were 31 countries/regions and 221 institutions. Figure 5 presents the top ten countries/regions ranked by productivity, indicating the active role of scholars …

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 …

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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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Investigating the mental health of university students during the …

WEBMental wellbeing of university students is a growing concern that has been worsening during the COVID-19 pandemic. Numerous studies have gathered empirical …

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A systematic review on machine learning and deep learning …

WEB2.2 Dataset. There are 3 major sources of the dataset considered in this study: ADNI: Alzheimer’s disease neuroimaging initiative started in the year 2004 to …

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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 …

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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 …

Category: Health Go Health

Machine learning for cognitive behavioral analysis: datasets, …

WEBThe research work [] proposes that intrusive thoughts should be viewed as cognitive stimuli rather than responses after thoroughly examining cognitive and …

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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 …

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Towards automatic text-based estimation of depression

WEBMajor Depressive Disorder (MDD) is one of the most common and comorbid mental disorders that impacts a person’s day-to-day activity. In addition, MDD affects …

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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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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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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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Cerebrovascular disease case identification in inpatient …

WEBPan et al. Brain Informatics Page 2 of 10 1 Introduction Accurate identication of patients with cerebrovascular diseases (CeVD) is important for health services research, …

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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 …

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