[HTML][HTML] Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade

SK Khare, S March, PD Barua, VM Gadre, UR Acharya - Information Fusion, 2023 - Elsevier
Mental health is a basic need for a sustainable and develo** society. The prevalence and
financial burden of mental illness have increased globally, and especially in response to …

[HTML][HTML] Multi-modality approaches for medical support systems: A systematic review of the last decade

M Salvi, HW Loh, S Seoni, PD Barua, S García… - Information …, 2024 - Elsevier
Healthcare traditionally relies on single-modality approaches, which limit the information
available for medical decisions. However, advancements in technology and the availability …

Transfer learning techniques for medical image analysis: A review

P Kora, CP Ooi, O Faust, U Raghavendra… - Biocybernetics and …, 2022 - Elsevier
Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …

Automated detection of COVID-19 cases using deep neural networks with X-ray images

T Ozturk, M Talo, EA Yildirim, UB Baloglu… - Computers in biology …, 2020 - Elsevier
Abstract The novel coronavirus 2019 (COVID-2019), which first appeared in Wuhan city of
China in December 2019, spread rapidly around the world and became a pandemic. It has …

[Retracted] EEG‐Based Epileptic Seizure Detection via Machine/Deep Learning Approaches: A Systematic Review

I Ahmad, X Wang, M Zhu, C Wang, Y Pi… - Computational …, 2022 - Wiley Online Library
Epileptic seizure is one of the most chronic neurological diseases that instantaneously
disrupts the lifestyle of affected individuals. Toward develo** novel and efficient …

Deep learning in ECG diagnosis: A review

X Liu, H Wang, Z Li, L Qin - Knowledge-Based Systems, 2021 - Elsevier
Cardiovascular disease (CVD) is a general term for a series of heart or blood vessels
abnormality that serves as a global leading reason for death. The earlier the abnormal heart …

Deep learning for motor imagery EEG-based classification: A review

A Al-Saegh, SA Dawwd, JM Abdul-Jabbar - Biomedical Signal Processing …, 2021 - Elsevier
Objectives The availability of large and varied Electroencephalogram (EEG) datasets,
rapidly advances and inventions in deep learning techniques, and highly powerful and …

Electronic tongue and electronic nose for food quality and safety

L Lu, Z Hu, X Hu, D Li, S Tian - Food Research International, 2022 - Elsevier
For the needs of food producers and consumers, electronic tongue and electronic nose play
many roles for food quality and safety in food production, food supervision and daily life. The …

Big data and machine learning algorithms for health-care delivery

KY Ngiam, W Khor - The Lancet Oncology, 2019 - thelancet.com
Analysis of big data by machine learning offers considerable advantages for assimilation
and evaluation of large amounts of complex health-care data. However, to effectively use …

Artificial intelligence for mental health and mental illnesses: an overview

S Graham, C Depp, EE Lee, C Nebeker, X Tu… - Current psychiatry …, 2019 - Springer
Abstract Purpose of Review Artificial intelligence (AI) technology holds both great promise to
transform mental healthcare and potential pitfalls. This article provides an overview of AI and …