AIMC Topic: Middle Aged

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Towards integrating personalized feedback research into clinical practice: Development of the Trier Treatment Navigator (TTN).

Behaviour research and therapy Jul 8, 2019
In this study, a computer-based feedback, decision and clinical problem-solving system for clinical practice will be described - the Trier Treatment Navigator (TTN). The paper deals with the underlying research concepts related to personalized pre-tr...
Patient Dropouts Personality Disorders Surveys and Questionnaires Adolescent Stress Disorders, Post-Traumatic Decision Support Systems, Clinical Mood Disorders Problem Solving Cognitive Behavioral Therapy Adjustment Disorders Feedback Male Middle Aged Anxiety Disorders Female Aged Young Adult Adult Humans Machine Learning Mental Disorders Precision Medicine Clinical Decision-Making
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Radiomics and machine learning of multisequence multiparametric prostate MRI: Towards improved non-invasive prostate cancer characterization.

PloS one Jul 8, 2019
PURPOSE: To develop and validate a classifier system for prediction of prostate cancer (PCa) Gleason score (GS) using radiomics and texture features of T2-weighted imaging (T2w), diffusion weighted imaging (DWI) acquired using high b values, and T2-m...
Multiparametric Magnetic Resonance Imaging Male Humans Middle Aged Machine Learning Prostatic Neoplasms Aged Image Interpretation, Computer-Assisted
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Augmented intelligence with natural language processing applied to electronic health records for identifying patients with non-alcoholic fatty liver disease at risk for disease progression.

International journal of medical informatics Jul 6, 2019
OBJECTIVE: Electronic health record (EHR) systems contain structured data (such as diagnostic codes) and unstructured data (clinical documentation). Clinical insights can be derived from analyzing both. The use of natural language processing (NLP) al...
Disease Progression Cohort Studies Natural Language Processing Non-alcoholic Fatty Liver Disease Electronic Health Records Humans Female Algorithms Male Middle Aged
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Waterjet Ablation Therapy for Treating Benign Prostatic Obstruction in Patients with Small- to Medium-size Glands: 12-month Results of the First French Aquablation Clinical Registry.

European urology Jul 5, 2019
BACKGROUND: Aquablation has emerged as a novel ablative therapy combining image guidance and robotics for targeted waterjet adenoma resection.
Male Middle Aged Postoperative Complications Length of Stay Humans Aged Robotics Registries France Lower Urinary Tract Symptoms Treatment Outcome Operative Time Recovery of Function Prostatic Hyperplasia Ablation Techniques
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A Real-Time Early Warning System for Monitoring Inpatient Mortality Risk: Prospective Study Using Electronic Medical Record Data.

Journal of medical Internet research Jul 5, 2019
BACKGROUND: The rapid deterioration observed in the condition of some hospitalized patients can be attributed to either disease progression or imperfect triage and level of care assignment after their admission. An early warning system (EWS) to ident...
Risk Factors Prospective Studies Male Retrospective Studies Middle Aged Electronic Health Records Humans Computer Systems Risk Assessment Female Machine Learning Monitoring, Physiologic Algorithms Inpatients Mortality
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Development of Big Data Predictive Analytics Model for Disease Prediction using Machine learning Technique.

Journal of medical systems Jul 5, 2019
Now days, health prediction in modern life becomesvery much essential. Big data analysis plays a crucial role to predict future status of healthand offerspreeminenthealth outcome to people. Heart disease is a prevalent disease cause's death around th...
Aged Male Middle Aged Big Data Humans Machine Learning Forecasting Female Bayes Theorem Disease
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A histopathologic feature of the behavior of gastric signet-ring cell carcinoma; an image analysis study with deep learning.

Pathology international Jul 5, 2019
Middle Aged Deep Learning Carcinoma, Signet Ring Cell Immunohistochemistry Humans Stomach Neoplasms
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Characterization of the non-stationary nature of steady-state visual evoked potentials using echo state networks.

PloS one Jul 5, 2019
State Visual Evoked Potentials (SSVEPs) arise from a resonance phenomenon in the visual cortex that is produced by a repetitive visual stimulus. SSVEPs have long been considered a steady-state response resulting from purely oscillatory components pha...
Visual Cortex Humans Adult Electroencephalography Neural Networks, Computer Male Algorithms Brain-Computer Interfaces Middle Aged Evoked Potentials, Visual Models, Neurological Photic Stimulation
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Identifying incident dementia by applying machine learning to a very large administrative claims dataset.

PloS one Jul 5, 2019
Alzheimer's disease and related dementias (ADRD) are highly prevalent conditions, and prior efforts to develop predictive models have relied on demographic and clinical risk factors using traditional logistical regression methods. We hypothesized tha...
Humans Incidence Machine Learning Datasets as Topic Algorithms Male Female Middle Aged Aged Cognitive Dysfunction Aged, 80 and over Dementia Adult
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Identifying depression in the National Health and Nutrition Examination Survey data using a deep learning algorithm.

Journal of affective disorders Jul 4, 2019
BACKGROUND: As depression is the leading cause of disability worldwide, large-scale surveys have been conducted to establish the occurrence and risk factors of depression. However, accurately estimating epidemiological factors leading up to depressio...
Humans Neural Networks, Computer Machine Learning Algorithms Depression ROC Curve Nutrition Surveys Databases, Factual Republic of Korea Female Adult Risk Factors Male Middle Aged Deep Learning
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