AIMC Topic: Age Factors

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Gait changes following robot-assisted gait training in children with cerebral palsy.

Physiological research Dec 31, 2021
This study investigated changes of gait pattern induced by a 4-week robot-assisted gait training (RAGT) in twelve ambulatory spastic diparesis children with cerebral palsy (CP) aged 10.4+/-3.2 years old by using computerized gait analysis (CGA). Pre-...
Time Factors Child, Preschool Child Treatment Outcome Age Factors Lower Extremity Humans Female Biomechanical Phenomena Male Adolescent Czech Republic Cerebral Palsy Gait Analysis Physical Therapy Modalities Weight-Bearing Slovenia Muscle Strength Recovery of Function Robotics Gait Range of Motion, Articular
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New approach of prediction of recurrence in thyroid cancer patients using machine learning.

Medicine Oct 22, 2021
Although papillary thyroid cancers are known to have a relatively low risk of recurrence, several factors are associated with a higher risk of recurrence, such as extrathyroidal extension, nodal metastasis, and BRAF gene mutation. However, predicting...
Thyroid Neoplasms Iodine Radioisotopes Algorithms Body Mass Index Sex Factors Prognosis Lymphatic Metastasis Tumor Burden Female Age Factors Thyroglobulin Reproducibility of Results Neoplasm Recurrence, Local Thyroid Cancer, Papillary Young Adult Aged Proto-Oncogene Proteins B-raf Adult Male Middle Aged Thyroidectomy Humans Machine Learning
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Prediction of Prolonged Opioid Use After Surgery in Adolescents: Insights From Machine Learning.

Anesthesia and analgesia Aug 1, 2021
BACKGROUND: Long-term opioid use has negative health care consequences. Patients who undergo surgery are at risk for prolonged opioid use after surgery (POUS). While risk factors have been previously identified, no methods currently exist to determin...
Risk Factors Young Adult Male Risk Assessment Adolescent Time Factors Humans Machine Learning Decision Support Techniques Retrospective Studies Female Analgesics, Opioid Pain Management Surgical Procedures, Operative Drug Administration Schedule Child Treatment Outcome Age Factors Predictive Value of Tests Pain, Postoperative
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The Value of Artificial Intelligence in Laboratory Medicine.

American journal of clinical pathology May 18, 2021
OBJECTIVES: As laboratory medicine continues to undergo digitalization and automation, clinical laboratorians will likely be confronted with the challenges associated with artificial intelligence (AI). Understanding what AI is good for, how to evalua...
Aged, 80 and over Humans Male Artificial Intelligence Middle Aged Delivery of Health Care Surveys and Questionnaires Female Age Factors Aged Laboratories
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The clinical classification of patients with COVID-19 pneumonia was predicted by Radiomics using chest CT.

Medicine Mar 26, 2021
In 2020, the new type of coronal pneumonitis became a pandemic in the world, and has firstly been reported in Wuhan, China. Chest CT is a vital component in the diagnostic algorithm for patients with suspected or confirmed COVID-19 infection. Therefo...
Humans Machine Learning COVID-19 Tomography, X-Ray Computed Female SARS-CoV-2 Aged Image Processing, Computer-Assisted Adult Age Factors Male Predictive Value of Tests Middle Aged Lung Severity of Illness Index
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Verification and comparison of three prediction models of ischemic stroke in young adults based on the back propagation neural networks.

Medicine Mar 19, 2021
This work aims to explore risk factors for ischemic stroke in young adults and analyze the Traditional Vascular Risk Factors Model based on age, hypertension, diabetes, smoking history, and drinking history. Further, the Lipid Metabolism Model was an...
Factor Analysis, Statistical Area Under Curve Smoking Alcohol Drinking Clinical Decision Rules Female Kidney Function Tests Age Factors Risk Factors Lipoproteins Young Adult Predictive Value of Tests Adult Ischemic Stroke Male Middle Aged Risk Assessment Adolescent ROC Curve Diabetes Mellitus, Type 2 Hypertension Humans Neural Networks, Computer Acute Kidney Injury
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DS-GCNs: Connectome Classification using Dynamic Spectral Graph Convolution Networks with Assistant Task Training.

Cerebral cortex (New York, N.Y. : 1991) Jan 5, 2021
Functional connectivity (FC) matrices measure the regional interactions in the brain and have been widely used in neurological brain disease classification. A brain network, also named as connectome, could form a graph structure naturally, the nodes ...
Sex Factors Humans Connectome Neural Networks, Computer Databases, Factual Brain Age Factors Alzheimer Disease
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Feature Selection is Critical for 2-Year Prognosis in Advanced Stage High Grade Serous Ovarian Cancer by Using Machine Learning.

Cancer control : journal of the Moffitt Cancer Center Jan 1, 2021
INTRODUCTION: Accurate prediction of patient prognosis can be especially useful for the selection of best treatment protocols. Machine Learning can serve this purpose by making predictions based upon generalizable clinical patterns embedded within le...
Support Vector Machine Age Factors Ovarian Neoplasms Patient Acuity Aged Cystadenocarcinoma, Serous Aged, 80 and over Humans Adult Middle Aged Machine Learning Logistic Models Prospective Studies Prognosis Female
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Phenotypic clustering of heart failure with preserved ejection fraction reveals different rates of hospitalization.

Journal of cardiovascular medicine (Hagerstown, Md.) Jan 1, 2021
AIMS: Approximately 50% of patients with heart failure have preserved (≥50%) ejection fraction (HFpEF). Improved understanding of the phenotypic heterogeneity of HFpEF might facilitate development of targeted therapies and interventions.
Heart Failure Data Mining Administrative Claims, Healthcare Retrospective Studies Female Hospitalization Aged Aged, 80 and over Humans Databases, Factual Prognosis Comorbidity Male Time Factors Ventricular Function, Left United States Stroke Volume Age Factors Middle Aged Cluster Analysis Prevalence Natural Language Processing
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Deep Learning of Computed Tomography Virtual Wedge Resection for Prediction of Histologic Usual Interstitial Pneumonitis.

Annals of the American Thoracic Society Jan 1, 2021
The computed tomography (CT) pattern of definite or probable usual interstitial pneumonia (UIP) can be diagnostic of idiopathic pulmonary fibrosis and may obviate the need for invasive surgical biopsy. Few machine-learning studies have investigated ...
Deep Learning Age Factors Idiopathic Pulmonary Fibrosis Lung Diseases, Interstitial Tomography, X-Ray Computed Female Aged Male Middle Aged Humans Retrospective Studies
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