Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: A systematic review and meta-analysis
F Colombo, F Calesella, MG Mazza… - Neuroscience & …, 2022 - Elsevier
Applying machine learning (ML) to objective markers may overcome prognosis uncertainty
due to the subjective nature of the diagnosis of bipolar disorder (BD). This PRISMA …
due to the subjective nature of the diagnosis of bipolar disorder (BD). This PRISMA …
Application of machine learning methods in predicting schizophrenia and bipolar disorders: A systematic review
M Montazeri, M Montazeri… - Health Science …, 2023 - Wiley Online Library
Abstract Background and Aim Schizophrenia and bipolar disorder (BD) are critical and high‐
risk inherited mental disorders with debilitating symptoms. Worldwide, 3% of the population …
risk inherited mental disorders with debilitating symptoms. Worldwide, 3% of the population …
Effective multiple cancer disease diagnosis frameworks for improved healthcare using machine learning
Cancer is a kind of non-communicable disease, progresses with uncontrolled cell growth in
the body. The cancerous cell forms a tumor that impairs the immune system, causes other …
the body. The cancerous cell forms a tumor that impairs the immune system, causes other …
Effective prediction of bitcoin price using wolf search algorithm and bidirectional LSTM on internet of things data
Internet of things is the concept of establishing relationships and interactions with other
connected devices through a network to reach a specific objective. The collected data from …
connected devices through a network to reach a specific objective. The collected data from …
Efficient text summarization method for blind people using text mining techniques
S Basheer, M Anbarasi, DG Sakshi… - International Journal of …, 2020 - Springer
Owing to the phenomenal growth in communication technology, most of us hardly have time
to read books. This habit of reading is slowly diminishing because of the busy lives of …
to read books. This habit of reading is slowly diminishing because of the busy lives of …
A comprehensive survey on computational learning methods for analysis of gene expression data
N Bhandari, R Walambe, K Kotecha… - Frontiers in Molecular …, 2022 - frontiersin.org
Computational analysis methods including machine learning have a significant impact in the
fields of genomics and medicine. High-throughput gene expression analysis methods such …
fields of genomics and medicine. High-throughput gene expression analysis methods such …
[HTML][HTML] aiGeneR 1.0: An Artificial Intelligence Technique for the Revelation of Informative and Antibiotic Resistant Genes in Escherichia coli
Background: There are several antibiotic resistance genes (ARG) for the Escherichia coli (E.
coli) bacteria that cause urinary tract infections (UTI), and it is therefore important to identify …
coli) bacteria that cause urinary tract infections (UTI), and it is therefore important to identify …
A novel approach to schizophrenia Detection: Optimized preprocessing and deep learning analysis of multichannel EEG data
S Srinivasan, SD Johnson - Expert Systems with Applications, 2024 - Elsevier
Schizophrenia diagnosis, characterized by cognitive deficits, hallucinations, and delusions,
poses challenges due to its complex nature. Electroencephalogram (EEG) signals provide …
poses challenges due to its complex nature. Electroencephalogram (EEG) signals provide …
Interpreting the factors of employee attrition using explainable AI
K Sekaran, S Shanmugam - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Employee attrition is a great challenge for every organization. The growth of any
organization directly depends on talented employees. Each employee is considered as a …
organization directly depends on talented employees. Each employee is considered as a …
Automatic diagnosis of bipolar disorder using optical coherence tomography data and artificial intelligence
EM Sánchez-Morla, JL Fuentes… - Journal of Personalized …, 2021 - mdpi.com
Background: The aim of this study is to explore an objective approach that aids the
diagnosis of bipolar disorder (BD), based on optical coherence tomography (OCT) data …
diagnosis of bipolar disorder (BD), based on optical coherence tomography (OCT) data …