AIMC Topic: Aged

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What health records data are required for accurate prediction of suicidal behavior?

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: The study sought to evaluate how availability of different types of health records data affect the accuracy of machine learning models predicting suicidal behavior.
Adolescent Suicide Logistic Models Self Report Models, Psychological Male Middle Aged Risk Assessment Suicide, Attempted Surveys and Questionnaires Humans Machine Learning Electronic Health Records Female Risk Factors Aged Adult
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Assessing clinical heterogeneity in sepsis through treatment patterns and machine learning.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: To use unsupervised topic modeling to evaluate heterogeneity in sepsis treatment patterns contained within granular data of electronic health records.
Humans Aged Aged, 80 and over Adult Male Middle Aged Sepsis Anti-Bacterial Agents Retrospective Studies Electronic Health Records Female Hospitalization Hospital Mortality Unsupervised Machine Learning Patient Acuity Quality of Health Care
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Evaluation of a Deep Learning System For Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs.

Journal of glaucoma Dec 1, 2019
PRECIS: Pegasus outperformed 5 of the 6 ophthalmologists in terms of diagnostic performance, and there was no statistically significant difference between the deep learning system and the "best case" consensus between the ophthalmologists. The agreem...
Ophthalmologists Glaucoma, Open-Angle Male Middle Aged Retrospective Studies Area Under Curve Diagnosis, Computer-Assisted Female Humans Observer Variation Deep Learning Aged Optic Disk ROC Curve Adult Optic Nerve Diseases Sensitivity and Specificity Diagnostic Techniques, Ophthalmological Intraocular Pressure Photography
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OPTICAL COHERENCE TOMOGRAPHY BIOMARKERS TO DISTINGUISH DIABETIC MACULAR EDEMA FROM PSEUDOPHAKIC CYSTOID MACULAR EDEMA USING MACHINE LEARNING ALGORITHMS.

Retina (Philadelphia, Pa.) Dec 1, 2019
PURPOSE: In diabetic patients presenting with macular edema (ME) shortly after cataract surgery, identifying the underlying pathology can be challenging and influence management. Our aim was to develop a simple clinical classifier able to confirm a d...
Biomarkers Retrospective Studies Female Reproducibility of Results Aged Sensitivity and Specificity Humans Diabetic Retinopathy Area Under Curve Machine Learning Tomography, Optical Coherence Macular Edema Fluorescein Angiography Male Subretinal Fluid Middle Aged Pseudophakia Diagnosis, Computer-Assisted Visual Acuity Predictive Value of Tests
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Optimization of treatment strategy by using a machine learning model to predict survival time of patients with malignant glioma after radiotherapy.

Journal of radiation research Nov 22, 2019
The purpose of this study was to predict the survival time of patients with malignant glioma after radiotherapy with high accuracy by considering additional clinical factors and optimize the prescription dose and treatment duration for individual pat...
Humans Machine Learning Female Aged Aged, 80 and over Young Adult Adult Male Middle Aged Adolescent Time Factors Dose-Response Relationship, Radiation Child Models, Theoretical Glioma Support Vector Machine Survival Analysis
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Application of preoperative artificial neural network based on blood biomarkers and clinicopathological parameters for predicting long-term survival of patients with gastric cancer.

World journal of gastroenterology Nov 21, 2019
BACKGROUND: Because of the powerful abilities of self-learning and handling complex biological information, artificial neural network (ANN) models have been widely applied to disease diagnosis, imaging analysis, and prognosis prediction. However, the...
Stomach Neoplasms Male Female Humans Child Middle Aged Aged Neural Networks, Computer China Logistic Models Aged, 80 and over Biomarkers Adolescent Young Adult Precision Medicine Adult Prognosis
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Predicting Nondiagnostic Home Sleep Apnea Tests Using Machine Learning.

Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine Nov 15, 2019
STUDY OBJECTIVES: Home sleep apnea testing (HSAT) is an efficient and cost-effective method of diagnosing obstructive sleep apnea (OSA). However, nondiagnostic HSAT necessitates additional tests that erode these benefits, delaying diagnoses and incre...
Male Middle Aged Surveys and Questionnaires Humans Sleep Apnea, Obstructive Female Machine Learning Calibration Aged Decision Support Techniques Polysomnography Adult Retrospective Studies Self Care Sensitivity and Specificity
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A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography.

European heart journal Nov 14, 2019
BACKGROUND: Coronary inflammation induces dynamic changes in the balance between water and lipid content in perivascular adipose tissue (PVAT), as captured by perivascular Fat Attenuation Index (FAI) in standard coronary CT angiography (CCTA). Howeve...
Plaque, Atherosclerotic Computed Tomography Angiography Aged Male Middle Aged Risk Assessment Humans Gene Expression Profiling Transcriptome Machine Learning Case-Control Studies Algorithms Follow-Up Studies Phenotype Adipose Tissue Female Coronary Artery Disease Genetic Markers
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Multidimensional Sleep and Mortality in Older Adults: A Machine-Learning Comparison With Other Risk Factors.

The journals of gerontology. Series A, Biological sciences and medical sciences Nov 13, 2019
BACKGROUND: Sleep characteristics related to duration, timing, continuity, and sleepiness are associated with mortality in older adults, but rarely considered in health recommendations. We applied machine learning to: (i) establish the predictive abi...
Cause of Death Self Report Survival Analysis Sleep Risk Factors Aged Aged, 80 and over Male Cardiovascular Diseases Humans Machine Learning Female
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Relevant Features in Nonalcoholic Steatohepatitis Determined Using Machine Learning for Feature Selection.

Metabolic syndrome and related disorders Nov 1, 2019
We investigated the prevalence and the most relevant features of nonalcoholic steatohepatitis (NASH), a stage of nonalcoholic fatty liver disease, (NAFLD) in which the inflammation of hepatocytes can lead to increased cardiovascular risk, liver fibr...
Female Aged Liver Cirrhosis Adult Middle Aged Humans Hypertension Sensitivity and Specificity Disease Progression Metabolic Syndrome Machine Learning Cross-Sectional Studies Prevalence Decision Making Algorithms Male Severity of Illness Index Non-alcoholic Fatty Liver Disease Prognosis Diabetes Mellitus, Type 2 Retrospective Studies
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