Machine learning and wearable devices of the future
Abstract Machine learning (ML) is increasingly recognized as a useful tool in healthcare
applications, including epilepsy. One of the most important applications of ML in epilepsy is …
applications, including epilepsy. One of the most important applications of ML in epilepsy is …
Machine learning in Alzheimer's disease drug discovery and target identification
C Geng, ZB Wang, Y Tang - Ageing Research Reviews, 2023 - Elsevier
Alzheimer's disease (AD) stands as a formidable neurodegenerative ailment that poses a
substantial threat to the elderly population, with no known curative or disease-slowing drugs …
substantial threat to the elderly population, with no known curative or disease-slowing drugs …
Developing window behavior models for residential buildings using XGBoost algorithm
Buildings account for over 32% of total society energy consumption, and to make buildings
more energy efficient dynamic building performance simulation has been widely adopted …
more energy efficient dynamic building performance simulation has been widely adopted …
Optimization and prediction in the early design stage of office buildings using genetic and XGBoost algorithms
Incorporating intelligent optimization algorithms in the early stages of office building design
facilitates a better response to the local climate. The indoor and outdoor thermal …
facilitates a better response to the local climate. The indoor and outdoor thermal …
Towards realizing the vision of precision medicine: AI based prediction of clinical drug response
J de Jong, I Cutcutache, M Page, S Elmoufti, C Dilley… - Brain, 2021 - academic.oup.com
Accurate and individualized prediction of response to therapies is central to precision
medicine. However, because of the generally complex and multifaceted nature of clinical …
medicine. However, because of the generally complex and multifaceted nature of clinical …
XG-PseU: an eXtreme Gradient Boosting based method for identifying pseudouridine sites
As one of the most popular post-transcriptional modifications, pseudouridine (Ψ) participates
in a series of biological processes. Therefore, the efficient detection of pseudouridine sites is …
in a series of biological processes. Therefore, the efficient detection of pseudouridine sites is …
Analysis and modeling of air conditioner usage behavior in residential buildings using monitoring data during hot and humid season
H Liu, H Sun, H Mo, J Liu - Energy and Buildings, 2021 - Elsevier
With split air conditioner (AC) becoming one of the most popular thermal comfort-related
appliances in residential buildings in China, many issues, such as high energy …
appliances in residential buildings in China, many issues, such as high energy …
Clinical application of machine learning models for brain imaging in epilepsy: a review
D Sone, I Beheshti - Frontiers in Neuroscience, 2021 - frontiersin.org
Epilepsy is a common neurological disorder characterized by recurrent and disabling
seizures. An increasing number of clinical and experimental applications of machine …
seizures. An increasing number of clinical and experimental applications of machine …
Development of antiepileptic drugs throughout history: from serendipity to artificial intelligence
MG Corrales-Hernández, SK Villarroel-Hagemann… - Biomedicines, 2023 - mdpi.com
This article provides a comprehensive narrative review of the history of antiepileptic drugs
(AEDs) and their development over time. Firstly, it explores the significant role of serendipity …
(AEDs) and their development over time. Firstly, it explores the significant role of serendipity …
A novel ensemble local graph structure based feature extraction network for EEG signal analysis
Electroencephalogram (EEG) signals have been extensively utilized to identify brain
disorders such as epilepsy. In this study, a novel feature extraction network based on local …
disorders such as epilepsy. In this study, a novel feature extraction network based on local …