AIMC Topic: Age Factors

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Machine Learning Accurately Predicts Short-Term Outcomes Following Open Reduction and Internal Fixation of Ankle Fractures.

The Journal of foot and ankle surgery : official publication of the American College of Foot and Ankle Surgeons Feb 23, 2019
Ankle fractures are common orthopedic injuries with favorable outcomes when managed with open reduction and internal fixation (ORIF). Several patient-related risk factors may contribute to poor short-term outcomes, and machine learning may be a valua...
Postoperative Complications Length of Stay Hospital Mortality United States Hypertension Female Risk Factors Cross-Sectional Studies Male Middle Aged Heart Failure Anemia Renal Insufficiency Ankle Fractures Medicaid Open Fracture Reduction Diabetes Mellitus Age Factors Fracture Fixation, Internal Lung Diseases Medicare Humans Machine Learning Algorithms Databases, Factual
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Physical characteristics not psychological state or trait characteristics predict motion during resting state fMRI.

Scientific reports Jan 23, 2019
Head motion (HM) during fMRI acquisition can significantly affect measures of brain activity or connectivity even after correction with preprocessing methods. Moreover, any systematic relationship between HM and variables of interest can introduce sy...
Brain Sex Factors Female Movement Adult Humans Male Middle Aged Machine Learning Mental Disorders Magnetic Resonance Imaging Brain Mapping Predictive Value of Tests Adolescent Longitudinal Studies Age Factors
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Cellular cartography of the organ of Corti based on optical tissue clearing and machine learning.

eLife Jan 18, 2019
The highly organized spatial arrangement of sensory hair cells in the organ of Corti is essential for inner ear function. Here, we report a new analytical pipeline, based on optical clearing of tissue, for the construction of a single-cell resolution...
Cochlea Hair Cells, Auditory Organ of Corti Mice, Inbred C57BL Microscopy, Fluorescence Spatial Analysis Pattern Recognition, Automated Immunohistochemistry Machine Learning Animals Age Factors
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Machine Learning Can Improve Estimation of Surgical Case Duration: A Pilot Study.

Journal of medical systems Jan 17, 2019
Operating room (OR) utilization is a significant determinant of hospital profitability. One aspect of this is surgical scheduling, which depends on accurate predictions of case duration. This has been done historically by either the surgeon based on ...
Preoperative Period Operating Rooms Body Weights and Measures Age Factors Operative Time Appointments and Schedules Sex Factors Efficiency, Organizational Humans Machine Learning Algorithms Electronic Health Records Pilot Projects Time Factors Socioeconomic Factors
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Blood Biochemistry Analysis to Detect Smoking Status and Quantify Accelerated Aging in Smokers.

Scientific reports Jan 15, 2019
There is an association between smoking and cancer, cardiovascular disease and all-cause mortality. However, currently, there are no affordable and informative tests for assessing the effects of smoking on the rate of biological aging. In this study ...
Humans Artificial Intelligence Supervised Machine Learning Sex Factors Blood Chemical Analysis Blood Cell Count Smoking Risk Factors Middle Aged Deep Learning Aging, Premature Age Factors Smokers
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A Machine Learning Approach to Predicting Case Duration for Robot-Assisted Surgery.

Journal of medical systems Jan 5, 2019
Robot-assisted surgery (RAS) requires a large capital investment by healthcare organizations. The cost of a robotic unit is fixed, so institutions must maximize use of each unit by utilizing all available operating room block time. One way to increas...
Operative Time Aged Robotic Surgical Procedures Male Sex Factors Humans Operating Rooms Comorbidity Efficiency, Organizational Neural Networks, Computer Severity of Illness Index Linear Models Machine Learning Age Factors Female
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Widespread occurrence of glyphosate in urine from pet dogs and cats in New York State, USA.

The Science of the total environment Dec 31, 2018
Glyphosate is one of the most widely used herbicides in the United States, which has led to its ubiquitous occurrence in food and water and regular detection in human urine at concentrations of 1-10 μg/L. Data pertaining to health risks arising from ...
Sex Factors Herbicides New York Cats Glyphosate Male Age Factors Environmental Pollutants Female Dogs Animals Glycine
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Predicting persistent depressive symptoms in older adults: A machine learning approach to personalised mental healthcare.

Journal of affective disorders Dec 25, 2018
BACKGROUND: Depression causes significant physical and psychosocial morbidity. Predicting persistence of depressive symptoms could permit targeted prevention, and lessen the burden of depression. Machine learning is a rapidly expanding field, and suc...
Predictive Value of Tests Female Aged Psychiatric Status Rating Scales Aged, 80 and over Depression Male Logistic Models Risk Assessment Follow-Up Studies Humans Age Factors Machine Learning Algorithms Decision Support Techniques Delivery of Health Care
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Retrospective Data Analysis of the Influence of Age and Sex on TPMT Activity and Its Phenotype-Genotype Correlation.

The journal of applied laboratory medicine Dec 20, 2018
BACKGROUND: Therapeutic efficacy and toxicity of thiopurine drugs (used as anticancer and immunosuppressant agents) are affected by thiopurine S-methyltransferase (TPMT) enzyme activity. genotype and/or phenotype is used to predict the risk for adve...
Genetic Association Studies Young Adult Inflammation Adult Age Factors Male Chromatography, Liquid Humans Middle Aged Tandem Mass Spectrometry Adolescent Data Analysis Sex Factors Retrospective Studies Gene Frequency Female Methyltransferases Aged
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Mobile detection of autism through machine learning on home video: A development and prospective validation study.

PLoS medicine Nov 27, 2018
BACKGROUND: The standard approaches to diagnosing autism spectrum disorder (ASD) evaluate between 20 and 100 behaviors and take several hours to complete. This has in part contributed to long wait times for a diagnosis and subsequent delays in access...
Reproducibility of Results Male Infant Diagnosis, Computer-Assisted Adolescent Time Factors Child, Preschool Child Autistic Disorder Adolescent Behavior Child Behavior Age Factors Humans Predictive Value of Tests Machine Learning Feasibility Studies Prospective Studies Video Recording Female Remote Consultation Early Diagnosis
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