AIMC Topic: Middle Aged

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Treatment of individual predictors with neural network algorithms improves Global Registry of Acute Coronary Events score discrimination.

Archivos de cardiologia de Mexico Jan 1, 2021
OBJECTIVE: The aim of this study was to develop, train, and test different neural network (NN) algorithm-based models to improve the Global Registry of Acute Coronary Events (GRACE) score performance to predict in-hospital mortality after an acute co...
Registries Acute Coronary Syndrome Female Aged Male Humans Middle Aged Hospital Mortality Neural Networks, Computer Algorithms Databases, Factual Prognosis
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A Machine Learning Approach to Predict Deep Venous Thrombosis Among Hospitalized Patients.

Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis Jan 1, 2021
Deep venous thrombosis (DVT) is associated with significant morbidity, mortality, and increased healthcare costs. Standard scoring systems for DVT risk stratification often provide insufficient stratification of hospitalized patients and are unable t...
Middle Aged Risk Assessment Adolescent Venous Thrombosis Humans Machine Learning Risk Factors Hospitalization Aged Young Adult Adult Male
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Machine Learning for the Prediction of Amyloid Positivity in Amnestic Mild Cognitive Impairment.

Journal of Alzheimer's disease : JAD Jan 1, 2021
BACKGROUND: Amyloid-β (Aβ) evaluation in amnestic mild cognitive impairment (aMCI) patients is important for predicting conversion to Alzheimer's disease. However, Aβ evaluation through Aβ positron emission tomography (PET) is limited due to high cos...
Mental Recall Positron-Emission Tomography Machine Learning Hippocampus Algorithms Cerebral Cortex Female Neuropsychological Tests Reproducibility of Results Cognitive Dysfunction Apolipoproteins E Risk Factors Cohort Studies Magnetic Resonance Imaging Aged Predictive Value of Tests Humans Area Under Curve Aged, 80 and over Amyloid beta-Peptides Male Middle Aged Disease Progression
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Data Science-Based Analysis of Patient Subgroup Structures Suggest Effects of Rhinitis on All Chemosensory Perceptions in the Upper Airways.

Chemical senses Jan 1, 2021
Viral rhinitis contributes significantly to olfactory dysfunction, but it is unclear how many patients have other chemosensory symptoms in addition to olfactory loss. This was addressed in the present reanalysis of data previously published in Pelleg...
Aged Young Adult Adult Male Middle Aged Data Science Adolescent Cohort Studies Rhinitis Acute Disease Humans Machine Learning Prospective Studies Female Perception Respiratory System Olfaction Disorders
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Sequentially applied myoelectrically controlled FES in a task-oriented approach and robotic therapy for the recovery of upper limb in post-stroke patients: A randomized controlled pilot study.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2021
BACKGROUND: Functional recovery of the plegic upper limb in post-stroke patients may be enhanced by sequentially applying a myoelectrically controlled FES (MeCFES), which allows the patient to voluntarily control the muscle contraction during a funct...
Robotics Robotic Surgical Procedures Stroke Upper Extremity Stroke Rehabilitation Adult Middle Aged Pilot Projects Humans Treatment Outcome Aged Recovery of Function
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Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infections.

Journal of X-ray science and technology Jan 1, 2021
BACKGROUND: Accurate and rapid diagnosis of coronavirus disease (COVID-19) is crucial for timely quarantine and treatment.
Diagnosis, Differential Radiologists Respiratory Tract Infections Male Algorithms Middle Aged Tomography, X-Ray Computed Lung Female Deep Learning Humans Clinical Competence Artificial Intelligence SARS-CoV-2 COVID-19 Aged Young Adult Adult Sensitivity and Specificity
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Development of Machine Learning Models for Predicting Postoperative Delayed Remission in Patients With Cushing's Disease.

The Journal of clinical endocrinology and metabolism Jan 1, 2021
CONTEXT: Postoperative hypercortisolemia mandates further therapy in patients with Cushing's disease (CD). Delayed remission (DR) is defined as not achieving postoperative immediate remission (IR), but having spontaneous remission during long-term fo...
China Time Factors Treatment Outcome Follow-Up Studies Models, Statistical Reproducibility of Results Young Adult Adult Male Middle Aged ACTH-Secreting Pituitary Adenoma Adenoma Neurosurgical Procedures Remission Induction Postoperative Period Pituitary ACTH Hypersecretion Humans Machine Learning Algorithms Computer Simulation Prognosis Retrospective Studies 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.
Humans Databases, Factual Prognosis Retrospective Studies Female United States Age Factors Cluster Analysis Natural Language Processing Heart Failure Data Mining Administrative Claims, Healthcare Hospitalization Stroke Volume Aged Middle Aged Aged, 80 and over Prevalence Male Comorbidity Ventricular Function, Left Time Factors
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Technology Can Augment, but Not Replace, Critical Human Skills Needed for Patient Care.

Academic medicine : journal of the Association of American Medical Colleges Jan 1, 2021
The practice of medicine is changing rapidly as a consequence of electronic health record adoption, new technologies for patient care, disruptive innovations that breakdown professional hierarchies, and evolving societal norms. Collectively, these ha...
Therapy, Computer-Assisted Artificial Intelligence Empathy Physicians Physician's Role Humans Adult Female Male Middle Aged Clinical Competence Patient Care
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Constipation Predominant Irritable Bowel Syndrome and Functional Constipation Are Not Discrete Disorders: A Machine Learning Approach.

The American journal of gastroenterology Jan 1, 2021
INTRODUCTION: Chronic constipation is classified into 2 main syndromes, irritable bowel syndrome with constipation (IBS-C) and functional constipation (FC), on the assumption that they differ along multiple clinical characteristics and are plausibly ...
Humans Female Principal Component Analysis Abdominal Pain Adult Supervised Machine Learning Male Constipation Middle Aged Cost of Illness Cohort Studies Irritable Bowel Syndrome Chronic Disease
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