AIMC Topic: Sex Factors

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Psychosocial profiles and their predictors in epilepsy using patient-reported outcomes and machine learning.

Epilepsia May 20, 2020
OBJECTIVE: To apply unsupervised machine learning to patient-reported outcomes to identify clusters of epilepsy patients exhibiting unique psychosocial characteristics.
Epilepsy Middle Aged Sex Factors Humans Quality of Life Age of Onset Female Socioeconomic Factors Patient Reported Outcome Measures Adult Psychology Age Factors Cluster Analysis Unsupervised Machine Learning Cross-Sectional Studies Male
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Development and Validation of Machine Learning Algorithms for Predicting Adverse Events After Surgery for Lumbar Degenerative Spondylolisthesis.

World neurosurgery Apr 25, 2020
BACKGROUND: Preoperative prognostication of adverse events (AEs) for patients undergoing surgery for lumbar degenerative spondylolisthesis (LDS) can improve risk stratification and help guide the surgical decision-making process. The aim of this stud...
Middle Aged Postoperative Complications Adolescent Humans Logistic Models Machine Learning Transplantation, Autologous Age Factors Algorithms Bone Transplantation Decision Making Prognosis Ilium Functional Status Aged Female Serum Albumin Neurosurgical Procedures Aged, 80 and over Risk Factors Spondylolisthesis Spinal Fusion Young Adult Clinical Decision Rules Lumbar Vertebrae Adult Alkaline Phosphatase Male Sex Factors
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Prediction of perioperative transfusions using an artificial neural network.

PloS one Feb 24, 2020
BACKGROUND: Accurate prediction of operative transfusions is essential for resource allocation and identifying patients at risk of postoperative adverse events. This research examines the efficacy of using artificial neural networks (ANNs) to predict...
Humans Neural Networks, Computer Machine Learning Databases, Factual Computer Simulation Prognosis Blood Transfusion Postoperative Hemorrhage Sex Factors Perioperative Care Female Risk Factors Sensitivity and Specificity Male Age Factors
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Measuring the impact of age, gender and dementia on communication-robot interventions in residential care homes.

Geriatrics & gerontology international Feb 19, 2020
AIM: The primary aim of this study was to examine the impact of age, gender and the stage of dementia on the results of an assistive technology intervention that make use of communication robots (com-robots). The intervention was designed to improve ...
Humans Delivery of Health Care Japan Sex Factors Nursing Homes Self-Help Devices Quality of Life Homes for the Aged Disease Progression Dementia Cohort Studies Age Factors Robotics Female Aged Aged, 80 and over Communication Male
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Gait characteristics and clinical relevance of hereditary spinocerebellar ataxia on deep learning.

Artificial intelligence in medicine Jan 7, 2020
BACKGROUND: Deep learning has always been at the forefront of scientific research. It has also been applied to medical research. Hereditary spinocerebellar ataxia (SCA) is characterized by gait abnormalities and is usually evaluated semi-quantitative...
Magnetic Resonance Imaging Single-Blind Method Gait Sex Factors Spinocerebellar Ataxias Humans Female Aged Young Adult Adult Biomechanical Phenomena Male Middle Aged Severity of Illness Index Deep Learning Age Factors
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Development of a Novel Prognostic Model to Predict 6-Month Swallowing Recovery After Ischemic Stroke.

Stroke Dec 30, 2019
Background and Purpose- The aim of this study was to explore clinical and radiological prognostic factors for long-term swallowing recovery in patients with poststroke dysphagia and to develop and validate a prognostic model using a machine learning ...
Deglutition Disorders White Matter Enteral Nutrition Sex Factors Basal Ganglia Brain Ischemia Brain Stem Proportional Hazards Models Internal Capsule Machine Learning Multivariate Analysis Algorithms Cerebral Cortex Prognosis Humans Male Female Middle Aged Reproducibility of Results Magnetic Resonance Imaging Aged Recovery of Function Fluoroscopy Stroke
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Prediction and optimization of slaughter weight in meat-type quails using artificial neural network modeling.

Poultry science Dec 28, 2019
Carcass yield of meat-type quails is strongly correlated with the weight of the birds at slaughter (slaughter weight [SW]; body weight at 45 D of age). Moreover, prediction of superior animals for SW at the earlier stages of the rearing period is fav...
Abattoirs Animal Husbandry Ovum Coturnix Neural Networks, Computer Models, Biological Body Weight Female Sex Factors Animals Male
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Effects of medium- and long-distance running on cardiac damage markers in amateur runners: a systematic review, meta-analysis, and metaregression.

Journal of sport and health science Dec 27, 2019
BACKGROUND: To finish an endurance race, athletes perform a vigorous effort that induces the release of cardiac damage markers. There are several factors that can affect the total number of these markers, so the aim of this review was to analyze the ...
Bias Troponin T Sex Factors Confidence Intervals Humans Marathon Running Troponin I Middle Aged Biomarkers Physical Endurance Adolescent Female Body Mass Index Young Adult Age Factors Adult Regression Analysis Male
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Implementation of artificial intelligence in medicine: Status analysis and development suggestions.

Artificial intelligence in medicine Dec 18, 2019
The general public's attitudes, demands, and expectations regarding medical AI could provide guidance for the future development of medical AI to satisfy the increasing needs of doctors and patients. The objective of this study is to investigate publ...
Humans Artificial Intelligence Medicine Health Personnel Physicians Female Socioeconomic Factors Age Factors Educational Status Regression Analysis Adult Sex Factors Male Public Opinion Middle Aged Surveys and Questionnaires
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Prediction of hospital no-show appointments through artificial intelligence algorithms.

Annals of Saudi medicine Dec 5, 2019
BACKGROUND: No-shows, a major issue for healthcare centers, can be quite costly and disruptive. Capacity is wasted and expensive resources are underutilized. Numerous studies have shown that reducing uncancelled missed appointments can have a tremend...
Models, Statistical Appointments and Schedules Sex Factors No-Show Patients Outpatient Clinics, Hospital Female Risk Factors Aged Male Middle Aged Age Factors Humans Artificial Intelligence Algorithms Electronic Health Records
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