AIMC Topic: Disease Progression

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Can perihaematomal radiomics features predict haematoma expansion?

Clinical radiology Apr 13, 2021
AIM: To evaluate the association between perihaematomal radiomics features and haematoma expansion (HE).
Middle Aged Disease Progression Support Vector Machine Cerebral Hemorrhage Predictive Value of Tests Female Reproducibility of Results Aged Male Radiographic Image Interpretation, Computer-Assisted Hematoma Humans Brain Retrospective Studies Tomography, X-Ray Computed
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Deep learning approach to predict pain progression in knee osteoarthritis.

Skeletal radiology Apr 9, 2021
OBJECTIVE: To develop and evaluate deep learning (DL) risk assessment models for predicting pain progression in subjects with or at risk of knee osteoarthritis (OA).
Male Middle Aged Disease Progression Deep Learning Longitudinal Studies Humans Retrospective Studies Female Knee Joint Pain Osteoarthritis, Knee
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Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data.

Nature communications Apr 6, 2021
Multiple sclerosis (MS) can be divided into four phenotypes based on clinical evolution. The pathophysiological boundaries of these phenotypes are unclear, limiting treatment stratification. Machine learning can identify groups with similar features ...
Disease Progression Magnetic Resonance Imaging Unsupervised Machine Learning Randomized Controlled Trials as Topic Models, Biological Multiple Sclerosis Databases as Topic Recurrence Placebos Female Reproducibility of Results Adult Male Humans Middle Aged
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Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney disease.

Diabetologia Apr 2, 2021
AIM: Predicting progression in diabetic kidney disease (DKD) is critical to improving outcomes. We sought to develop/validate a machine-learned, prognostic risk score (KidneyIntelX™) combining electronic health records (EHR) and biomarkers.
Female Risk Factors Aged Aged, 80 and over Young Adult Machine Learning Biomarkers Prognosis Electronic Health Records Diabetic Nephropathies Humans United States Glomerular Filtration Rate Kidney Function Tests Adult Predictive Value of Tests Male Middle Aged Disease Progression Cohort Studies
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Early Coaching to Increase Water Intake in CKD.

Annals of nutrition & metabolism Mar 29, 2021
INTRODUCTION: In observational studies, increased water intake improves kidney function but not in adults with CKD stage 3 and more. CKD WIT trial has shown a nonsignificant gradual decline in kidney function after 1 year of coaching to increase wate...
Glomerular Filtration Rate Humans Drinking Middle Aged Prospective Studies Drinking Behavior Disease Progression Female Mentoring Water Male Kidney Renal Insufficiency, Chronic
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Predicting Parkinson's disease trajectory using clinical and neuroimaging baseline measures.

Parkinsonism & related disorders Mar 7, 2021
INTRODUCTION: Predictive biomarkers of Parkinson's Disease progression are needed to expedite neuroprotective treatment development and facilitate prognoses for patients. This work uses measures derived from resting-state functional magnetic resonanc...
Default Mode Network Middle Aged Disease Progression Prognosis Severity of Illness Index Magnetic Resonance Imaging Female Functional Neuroimaging Humans Reproducibility of Results Parkinson Disease Follow-Up Studies Machine Learning Aged Cerebellum Biomarkers Male Cerebral Cortex Nerve Net
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Investigating the relationship between the SNCA gene and cognitive abilities in idiopathic Parkinson's disease using machine learning.

Scientific reports Mar 1, 2021
Cognitive impairments are prevalent in Parkinson's disease (PD), but the underlying mechanisms of their development are unknown. In this study, we aimed to predict global cognition (GC) in PD with machine learning (ML) using structural neuroimaging, ...
Cognitive Dysfunction Parkinson Disease alpha-Synuclein Cognition Disorders Neuroimaging Aged Aged, 80 and over Male Middle Aged Disease Progression Humans Machine Learning Female
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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...
Longitudinal Studies Registries Humans Multiple Sclerosis Machine Learning Recurrence Prognosis Adult Electronic Health Records Male Female Middle Aged Disease Progression
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Early risk assessment for COVID-19 patients from emergency department data using machine learning.

Scientific reports Feb 18, 2021
Since its emergence in late 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a pandemic with more than 55 million reported cases and 1.3 million estimated deaths worldwide. While epidemiological and clinical character...
Emergency Service, Hospital United Kingdom London Respiration, Artificial Humans Disease Progression Hospitals Hospital Mortality Adult ROC Curve Machine Learning SARS-CoV-2 Male Risk Factors Pandemics Middle Aged Hospitalization COVID-19 Risk Assessment Aged Retrospective Studies Aged, 80 and over Female
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Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning.

BMC medical informatics and decision making Feb 8, 2021
BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has caused health concerns worldwide since December 2019. From the beginning of infection, patients will progress through different symptom stages, such as fever, dyspnea or even death. Ide...
Humans COVID-19 Forecasting SARS-CoV-2 Disease Progression Deep Learning China
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