AIMC Topic: Sleep Initiation and Maintenance Disorders
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Predicting anxiety in cancer survivors presenting to primary care - A machine learning approach accounting for physical comorbidity.
Cancer medicine
Jun 2, 2021
BACKGROUND: The purpose of this study was to explore predictors for anxiety as the most common form of psychological distress in cancer survivors while accounting for physical comorbidity.
Humans
Middle Aged
Anxiety
Comorbidity
Stress, Psychological
Female
Aged
Breast Neoplasms
Male
Cancer Pain
Cancer Survivors
Muscle Weakness
Colonic Neoplasms
Supervised Machine Learning
Sleep Initiation and Maintenance Disorders
Fatigue
Primary Health Care
Regression Analysis
Predictive Value of Tests
Prostatic Neoplasms
Multitask fMRI and machine learning approach improve prediction of differential brain activity pattern in patients with insomnia disorder.
Scientific reports
Apr 30, 2021
We investigated the differential spatial covariance pattern of blood oxygen level-dependent (BOLD) responses to single-task and multitask functional magnetic resonance imaging (fMRI) between patients with psychophysiological insomnia (PI) and healthy...
Revisiting the value of polysomnographic data in insomnia: more than meets the eye.
Sleep medicine
Dec 13, 2019
BACKGROUND: Polysomnography (PSG) is not recommended as a diagnostic tool in insomnia. However, this consensual approach might be tempered in the light of two ongoing transformations in sleep research: big data and artificial intelligence (AI).
Prediction of lithium response using clinical data.
Acta psychiatrica Scandinavica
Nov 22, 2019
OBJECTIVE: Promptly establishing maintenance therapy could reduce morbidity and mortality in patients with bipolar disorder. Using a machine learning approach, we sought to evaluate whether lithium responsiveness (LR) is predictable using clinical ma...
Extracting health-related causality from twitter messages using natural language processing.
BMC medical informatics and decision making
Apr 4, 2019
BACKGROUND: Twitter messages (tweets) contain various types of topics in our daily life, which include health-related topics. Analysis of health-related tweets would help us understand health conditions and concerns encountered in our daily lives. In...
Deep Learning and Insomnia: Assisting Clinicians With Their Diagnosis.
IEEE journal of biomedical and health informatics
Jan 9, 2017
Effective sleep analysis is hampered by the lack of automated tools catering to disordered sleep patterns and cumbersome monitoring hardware. In this paper, we apply deep learning on a set of 57 EEG features extracted from a maximum of two EEG channe...
Frequency-dependent changes in local intrinsic oscillations in chronic primary insomnia: A study of the amplitude of low-frequency fluctuations in the resting state.
NeuroImage. Clinical
May 26, 2016
New neuroimaging techniques have led to significant advancements in our understanding of cerebral mechanisms of primary insomnia. However, the neuronal low-frequency oscillation remains largely uncharacterized in chronic primary insomnia (CPI). In th...
Combination of Expert Knowledge and a Genetic Fuzzy Inference System for Automatic Sleep Staging.
IEEE transactions on bio-medical engineering
Dec 18, 2015
OBJECTIVE: In this paper, the genetic fuzzy inference system based on expert knowledge for automatic sleep staging was developed.
Altered cerebral functional activity and its associated genetic profiles underlying chronic insomnia disorder before and after treatment.
The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry
Jun 1, 2025
OBJECTIVES: The resting-state cerebral functional activity underlying chronic insomnia disorder (CID) remains inconsistent, and the effects of pharmacotherapy on such activity are unclear.
Machine Learning Models to Identify Clinically Significant Anxiety in Short-Term Insomnia Using Accelerometers.
Depression and anxiety
Jan 1, 2025
Clinically significant anxiety (CSA) is common in individuals with short-term insomnia. This study aims to explore the relationship between CSA and the subjective and objective parameters of sleep in patients with short-term insomnia and construct ma...
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