AIMC Topic: Aged, 80 and over

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Supervised machine learning for the prediction of infection on admission to hospital: a prospective observational cohort study.

The Journal of antimicrobial chemotherapy Apr 1, 2019
BACKGROUND: Infection diagnosis can be challenging, relying on clinical judgement and non-specific markers of infection. We evaluated a supervised machine learning (SML) algorithm for diagnosing bacterial infection using routinely available blood par...
Clinical Decision-Making Female Aged Aged, 80 and over Young Adult Adult Humans Algorithms Biomarkers Prognosis Supervised Machine Learning Disease Management Diagnostic Tests, Routine Infections Patient Admission Hematologic Tests Male Middle Aged Cohort Studies ROC Curve Decision Support Systems, Clinical Follow-Up Studies
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Detection of Left Ventricular Hypertrophy Using Bayesian Additive Regression Trees: The MESA.

Journal of the American Heart Association Mar 5, 2019
Background We developed a new left ventricular hypertrophy ( LVH ) criterion using a machine-learning technique called Bayesian Additive Regression Trees ( BART ). Methods and Results This analysis included 4714 participants from MESA (Multi-Ethnic S...
Humans Ventricular Function, Left Middle Aged Diagnosis, Computer-Assisted United States Electrocardiography Magnetic Resonance Imaging Machine Learning Female Reproducibility of Results Aged Aged, 80 and over Male Decision Trees Predictive Value of Tests Bayes Theorem Ventricular Remodeling Hypertrophy, Left Ventricular
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MR-based treatment planning in radiation therapy using a deep learning approach.

Journal of applied clinical medical physics Mar 1, 2019
PURPOSE: To develop and evaluate the feasibility of deep learning approaches for MR-based treatment planning (deepMTP) in brain tumor radiation therapy.
Stroke Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Brain Neoplasms Male Middle Aged Deep Learning Female Imaging, Three-Dimensional Aged Magnetic Resonance Imaging Aged, 80 and over Young Adult Adult Humans Retrospective Studies Tomography, X-Ray Computed
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Predicting Future Cardiovascular Events in Patients With Peripheral Artery Disease Using Electronic Health Record Data.

Circulation. Cardiovascular quality and outcomes Mar 1, 2019
BACKGROUND: Patients with peripheral artery disease (PAD) are at risk of major adverse cardiac and cerebrovascular events. There are no readily available risk scores that can accurately identify which patients are most likely to sustain an event, mak...
Peripheral Arterial Disease Tertiary Care Centers Data Mining Cerebrovascular Disorders Heart Diseases Male Middle Aged Risk Assessment Time Factors United States Humans Machine Learning Prognosis Electronic Health Records Female Risk Factors Aged Aged, 80 and over
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Deep Learning Natural Language Processing Successfully Predicts the Cerebrovascular Cause of Transient Ischemic Attack-Like Presentations.

Stroke Mar 1, 2019
Background and Purpose- Triaging of referrals to transient ischemic attack (TIA) clinics is aided by risk stratification. Deep learning-based natural language processing, a type of machine learning, may be able to assist with the prediction of cerebr...
Male Middle Aged Risk Assessment Deep Learning Treatment Outcome Ischemic Attack, Transient Magnetic Resonance Imaging Predictive Value of Tests Triage Humans Natural Language Processing Neural Networks, Computer Area Under Curve Machine Learning Cerebrovascular Disorders Female False Positive Reactions Aged Aged, 80 and over
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Deep Learning for Prediction of AMD Progression: A Pilot Study.

Investigative ophthalmology & visual science Feb 1, 2019
PURPOSE: To develop and assess a method for predicting the likelihood of converting from early/intermediate to advanced wet age-related macular degeneration (AMD) using optical coherence tomography (OCT) imaging and methods of deep learning.
Follow-Up Studies Disease Progression Machine Learning Tomography, Optical Coherence Humans Diagnosis, Computer-Assisted Female Wet Macular Degeneration Neural Networks, Computer Deep Learning Aged Aged, 80 and over Pilot Projects Male ROC Curve Middle Aged
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Network Tomography for Understanding Phenotypic Presentations in Aortic Stenosis.

JACC. Cardiovascular imaging Feb 1, 2019
OBJECTIVES: This study sought to build a patient-patient similarity network using multiple features of left ventricular (LV) structure and function in patients with aortic stenosis (AS). The study further validated the observations in an experimental...
Heart Ventricles Image Interpretation, Computer-Assisted Heart Valve Prosthesis Implantation Balloon Valvuloplasty Humans Disease Models, Animal Ventricular Function, Left Reproducibility of Results Machine Learning Echocardiography Aortic Valve Stenosis Aged Female Middle Aged Aortic Valve Aged, 80 and over Predictive Value of Tests Disease Progression Cross-Sectional Studies Severity of Illness Index Mice, Knockout Animals Time Factors Male
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Heart rate variability based machine learning models for risk prediction of suspected sepsis patients in the emergency department.

Medicine Feb 1, 2019
Early identification of high-risk septic patients in the emergency department (ED) may guide appropriate management and disposition, thereby improving outcomes. We compared the performance of machine learning models against conventional risk stratifi...
Female Reproducibility of Results Aged Aged, 80 and over Male Middle Aged Severity of Illness Index Sepsis Hospital Mortality Systemic Inflammatory Response Syndrome ROC Curve Socioeconomic Factors Humans Machine Learning Triage Emergency Service, Hospital Singapore Heart Rate Organ Dysfunction Scores
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Artificial intelligence system of faster region-based convolutional neural network surpassing senior radiologists in evaluation of metastatic lymph nodes of rectal cancer.

Chinese medical journal Feb 1, 2019
BACKGROUND: An artificial intelligence system of Faster Region-based Convolutional Neural Network (Faster R-CNN) is newly developed for the diagnosis of metastatic lymph node (LN) in rectal cancer patients. The primary objective of this study was to ...
Adult Male Middle Aged Lymphatic Metastasis Humans Neoplasm Staging Neoplasm Recurrence, Local Neural Networks, Computer Radiologists Pathologists Artificial Intelligence Rectal Neoplasms Female Aged Aged, 80 and over
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Machine Learning and Deep Learning Approaches in Breast Cancer Survival Prediction Using Clinical Data.

Folia biologica Jan 1, 2019
Breast cancer survival prediction can have an extreme effect on selection of best treatment protocols. Many approaches such as statistical or machine learning models have been employed to predict the survival prospects of patients, but newer algorith...
Decision Trees Survival Analysis Calibration Young Adult Humans Demography Adult Neural Networks, Computer Breast Neoplasms Female Middle Aged Aged Deep Learning Aged, 80 and over Support Vector Machine
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