[HTML][HTML] Towards revolutionizing precision healthcare: A systematic literature review of artificial intelligence methods in precision medicine

W Abbaoui, S Retal, B El Bhiri, N Kharmoum… - Informatics in Medicine …, 2024 - Elsevier
In the realm of medicine, artificial intelligence (AI) has emerged as a transformative force,
harnessing the power to convert raw data into meaningful insights. Rather than supplanting …

An insight into diagnosis of depression using machine learning techniques: a systematic review

S Bhadra, CJ Kumar - Current medical research and opinion, 2022 - Taylor & Francis
Background In this modern era, depression is one of the most prevalent mental disorders
from which millions of individuals are affected today. The symptoms of depression are …

Evaluation of risk of bias in neuroimaging-based artificial intelligence models for psychiatric diagnosis: a systematic review

Z Chen, X Liu, Q Yang, YJ Wang, K Miao… - JAMA network …, 2023 - jamanetwork.com
Importance Neuroimaging-based artificial intelligence (AI) diagnostic models have
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …

[HTML][HTML] Prediction of generalized anxiety levels during the Covid-19 pandemic: A machine learning-based modeling approach

FM Albagmi, A Alansari, DS Al Shawan… - Informatics in Medicine …, 2022 - Elsevier
The rapid spread of the Covid-19 outbreak led many countries to enforce precautionary
measures such as complete lockdowns. These lifestyle-altering measures caused a …

The Wistar Kyoto rat: a model of depression traits

EE Redei, ME Udell… - Current …, 2023 - benthamdirect.com
There is an ongoing debate about the value of animal research in psychiatry with valid lines
of reasoning stating the limits of individual animal models compared to human psychiatric …

Disrupted regional homogeneity in melancholic and non-melancholic major depressive disorder at rest

M Yan, Y He, X Cui, F Liu, H Li, R Huang… - Frontiers in …, 2021 - frontiersin.org
Background: Melancholic depression has been viewed as one severe subtype of major
depressive disorder (MDD). However, it is unclear whether melancholic depression has …

Whole-brain resting-state functional connectivity identified major depressive disorder: a multivariate pattern analysis in two independent samples

X Zhong, H Shi, Q Ming, D Dong, X Zhang… - Journal of Affective …, 2017 - Elsevier
Background there has been a recent increase in the use of connectome-based multivariate
pattern analysis (MVPA) of resting-state functional magnetic resonance imaging (fMRI) data …

Comprehensive review of depression detection techniques based on machine learning approach

SJ Pinto, M Parente - Soft Computing, 2024 - Springer
Depression has become a serious disease that affects people's mental state and is an
important part of the global disease burden. Research in this area began later in 1920 and …

Identifying Plasma Biomarkers with high specificity for major depressive disorder: a multi-level proteomics study

Y Shi, R Song, L Wang, Y Qi, H Zhang, J Zhu… - Journal of affective …, 2020 - Elsevier
Background There are currently no objective diagnostic biomarkers for major depressive
disorder (MDD) due to the biological complexity of the disorder. The existence of blood …

Machine learning based prediction of depression among type 2 diabetic patients

RM Khalil, A Al-Jumaily - 2017 12th international conference …, 2017 - ieeexplore.ieee.org
Most of humankind feel sadness, tragic, feeling down from time to time; a few people
encounter these emotions strongly, for long period of time and usually with no evident …