[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 …
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
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 …
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 …
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
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 …
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 …
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 …
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
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 …
pattern analysis (MVPA) of resting-state functional magnetic resonance imaging (fMRI) data …
Comprehensive review of depression detection techniques based on machine learning approach
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 …
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 …
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 …
encounter these emotions strongly, for long period of time and usually with no evident …