AIMC Topic: Longitudinal Studies

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Machine Learning Assessment of Early Life Factors Predicting Suicide Attempt in Adolescence or Young Adulthood.

JAMA network open Mar 1, 2021
IMPORTANCE: Although longitudinal studies have reported associations between early life factors (ie, in-utero/perinatal/infancy) and long-term suicidal behavior, they have concentrated on 1 or few selected factors, and established associations, but d...
Machine Learning Forecasting Female Infant, Newborn Young Adult Humans Child, Preschool Child Longitudinal Studies Follow-Up Studies Age Factors Male Infant Suicide, Attempted Adolescent
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Leveraging electronic health records data to predict multiple sclerosis disease activity.

Annals of clinical and translational neurology Feb 24, 2021
OBJECTIVE: No relapse risk prediction tool is currently available to guide treatment selection for multiple sclerosis (MS). Leveraging electronic health record (EHR) data readily available at the point of care, we developed a clinical tool for predic...
Adult Male Middle Aged Disease Progression Multiple Sclerosis Recurrence Longitudinal Studies Registries Humans Machine Learning Prognosis Electronic Health Records Female
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Public Opinions and Concerns Regarding the Canadian Prime Minister's Daily COVID-19 Briefing: Longitudinal Study of YouTube Comments Using Machine Learning Techniques.

Journal of medical Internet research Feb 23, 2021
BACKGROUND: During the COVID-19 pandemic in Canada, Prime Minister Justin Trudeau provided updates on the novel coronavirus and the government's responses to the pandemic in his daily briefings from March 13 to May 22, 2020, delivered on the official...
Personal Protective Equipment Emigration and Immigration Financial Stress Social Media Unsupervised Machine Learning Public Health Natural Language Processing COVID-19 Vaccines Quarantine Humans Canada Pandemics Financing, Government Public Opinion Longitudinal Studies COVID-19 Public Policy Government SARS-CoV-2 Federal Government
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Robot-assisted rehabilitation of hand function after stroke: Development of prediction models for reference to therapy.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology Feb 16, 2021
BACKGROUND: Recovery of hand function after stroke represents the hardest target for clinicians. Robot-assisted therapy has been proved to be effective for hand recovery. Nevertheless, studies aimed to refer patients to the best therapy are missing.
Male Middle Aged Pilot Projects Treatment Outcome Forecasting Female Aged Cross-Sectional Studies Hand Electromyography Stroke Exercise Therapy Stroke Rehabilitation Longitudinal Studies Muscle, Skeletal Recovery of Function Robotics Humans
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Toward Using Twitter for Tracking COVID-19: A Natural Language Processing Pipeline and Exploratory Data Set.

Journal of medical Internet research Jan 22, 2021
BACKGROUND: In the United States, the rapidly evolving COVID-19 outbreak, the shortage of available testing, and the delay of test results present challenges for actively monitoring its spread based on testing alone.
Humans Natural Language Processing COVID-19 Self Report SARS-CoV-2 Datasets as Topic United States Longitudinal Studies Social Media Disease Outbreaks Speech
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Deep learning paired with wearable passive sensing data predicts deterioration in anxiety disorder symptoms across 17-18 years.

Journal of affective disorders Dec 27, 2020
BACKGROUND: Recent studies have demonstrated that passive smartphone and wearable sensor data collected throughout daily life can predict anxiety symptoms cross-sectionally. However, to date, no research has demonstrated the capacity for these digita...
Humans Anxiety Disorders Deep Learning Wearable Electronic Devices Longitudinal Studies Panic Disorder
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Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders.

Journal of diabetes research Dec 15, 2020
OBJECTIVE: To evaluate diabetic retinopathy (DR) screening via deep learning (DL) and trained human graders (HG) in a longitudinal cohort, as case spectrum shifts based on treatment referral and new-onset DR.
Macular Edema Thailand Aged Longitudinal Studies Image Interpretation, Computer-Assisted Severity of Illness Index Cell Proliferation Male Photography Deep Learning Predictive Value of Tests Middle Aged National Health Programs Mass Screening Fundus Oculi Incidence Prevalence Humans Diabetic Retinopathy Female Reproducibility of Results
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Continual improvement of nasopharyngeal carcinoma segmentation with less labeling effort.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Dec 1, 2020
PURPOSE: Convolutional neural networks (CNNs) offer a promising approach to automated segmentation. However, labeling contours on a large scale is laborious. Here we propose a method to improve segmentation continually with less labeling effort.
Nasopharyngeal Neoplasms Humans Neural Networks, Computer Image Processing, Computer-Assisted Longitudinal Studies Nasopharyngeal Carcinoma
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Predicting spatial esophageal changes in a multimodal longitudinal imaging study via a convolutional recurrent neural network.

Physics in medicine and biology Nov 27, 2020
Acute esophagitis (AE) occurs among a significant number of patients with locally advanced lung cancer treated with radiotherapy. Early prediction of AE, indicated by esophageal wall expansion, is critical, as it can facilitate the redesign of treatm...
Humans Multimodal Imaging Neural Networks, Computer Cone-Beam Computed Tomography Esophagus Female Image Processing, Computer-Assisted Male Longitudinal Studies Magnetic Resonance Imaging
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A comparison of machine learning methods for survival analysis of high-dimensional clinical data for dementia prediction.

Scientific reports Nov 23, 2020
Data collected from clinical trials and cohort studies, such as dementia studies, are often high-dimensional, censored, heterogeneous and contain missing information, presenting challenges to traditional statistical analysis. There is an urgent need ...
Longitudinal Studies Alzheimer Disease Survival Analysis Early Diagnosis Neuroimaging Neuropsychological Tests Male Aging Cognitive Dysfunction Dementia Prognosis Female Aged Aged, 80 and over Humans Machine Learning Biomarkers
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