AIMC Topic: Aged

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A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections.

Nature communications Mar 4, 2020
Improved identification of bacterial and viral infections would reduce morbidity from sepsis, reduce antibiotic overuse, and lower healthcare costs. Here, we develop a generalizable host-gene-expression-based classifier for acute bacterial and viral ...
Bacterial Infections Acute Disease Datasets as Topic Host-Pathogen Interactions Virus Diseases Hospital Mortality ROC Curve RNA, Messenger Support Vector Machine Intensive Care Units Female Aged Aged, 80 and over Adult Male Middle Aged Gene Expression Profiling Sepsis Humans Neural Networks, Computer
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Can online support groups address psychological morbidity of cancer patients? An artificial intelligence based investigation of prostate cancer trajectories.

PloS one Mar 4, 2020
BACKGROUND: Online Cancer Support Groups (OCSG) are becoming an increasingly vital source of information, experiences and empowerment for patients with cancer. Despite significant contributions to physical, psychological and emotional wellbeing of pa...
Emotions Prostatic Neoplasms Morbidity Self-Help Groups Humans Adult Artificial Intelligence Male Aged Middle Aged Time Factors
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Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Cardiotoxicity related to cancer therapies has become a serious issue, diminishing cancer treatment outcomes and quality of life. Early detection of cancer patients at risk for cardiotoxicity before cardiotoxic treatments and providing preventive mea...
Male Antineoplastic Agents Female Humans Middle Aged Risk Factors Heart Failure Machine Learning Neoplasms Aged Algorithms Quality of Life Electronic Health Records Aged, 80 and over Adult
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A Residual Based Attention Model for EEG Based Sleep Staging.

IEEE journal of biomedical and health informatics Mar 3, 2020
Sleep staging is to score the sleep state of a subject into different sleep stages such as Wake and Rapid Eye Movement (REM). It plays an indispensable role in the diagnosis and treatment of sleep disorders. As manual sleep staging through well-train...
Aged Young Adult Adult Male Middle Aged Humans Neural Networks, Computer Databases, Factual Female Deep Learning Electroencephalography Signal Processing, Computer-Assisted Sleep Stages
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Single-Port Robotic Urological Surgery Using Purpose-Built Single-Port Surgical System: Single-Institutional Experience With the First 100 Cases.

Urology Mar 3, 2020
OBJECTIVES: To present a comprehensive report regarding our experience with single-port robotic surgery in our first 100 consecutive patients. We describe the diversity of procedures that can be performed with this platform as well as the challenges ...
Outcome and Process Assessment, Health Care Postoperative Complications Urologic Neoplasms Robotics Humans Minimally Invasive Surgical Procedures Robotic Surgical Procedures Female Preoperative Care Aged Conversion to Open Surgery Male Intraoperative Complications Middle Aged Urologic Surgical Procedures
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Identification of elders at higher risk for fall with statewide electronic health records and a machine learning algorithm.

International journal of medical informatics Mar 3, 2020
OBJECTIVE: Predicting the risk of falls in advance can benefit the quality of care and potentially reduce mortality and morbidity in the older population. The aim of this study was to construct and validate an electronic health record-based fall risk...
Male Risk Assessment Comorbidity Accidental Falls Cohort Studies Parkinson Disease Maine Electronic Health Records Female Risk Factors Aged Aged, 80 and over Humans Machine Learning Algorithms
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Machine-learning-based computed tomography radiomic analysis for histologic subtype classification of thymic epithelial tumours.

European journal of radiology Mar 2, 2020
PURPOSE: To evaluate the performance of machine-learning-based computed tomography (CT) radiomic analysis to differentiate high-risk thymic epithelial tumours (TETs) from low-risk TETs according to the WHO classification.
Humans Machine Learning Area Under Curve Young Adult Thymus Gland Retrospective Studies Image Interpretation, Computer-Assisted Adult Tomography, X-Ray Computed Neoplasms, Glandular and Epithelial Male Female Thymus Neoplasms Aged Middle Aged ROC Curve
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Use of Deep Learning to Predict Final Ischemic Stroke Lesions From Initial Magnetic Resonance Imaging.

JAMA network open Mar 2, 2020
IMPORTANCE: Predicting infarct size and location is important for decision-making and prognosis in patients with acute stroke.
Magnetic Resonance Imaging Patient Selection Aged Brain Ischemia Humans Male Prognosis Middle Aged Retrospective Studies Deep Learning Female
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Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms.

JAMA network open Mar 2, 2020
IMPORTANCE: Mammography screening currently relies on subjective human interpretation. Artificial intelligence (AI) advances could be used to increase mammography screening accuracy by reducing missed cancers and false positives.
Female Sweden Aged Adult Sensitivity and Specificity Humans Artificial Intelligence Algorithms Early Detection of Cancer Mammography Radiology Radiologists Image Interpretation, Computer-Assisted Breast Neoplasms Middle Aged Deep Learning United States
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EMR-Based Phenotyping of Ischemic Stroke Using Supervised Machine Learning and Text Mining Techniques.

IEEE journal of biomedical and health informatics Feb 28, 2020
Ischemic stroke is a major cause of death and disability in adulthood worldwide. Because it has highly heterogeneous phenotypes, phenotyping of ischemic stroke is an essential task for medical research and clinical prognostication. However, this task...
Data Mining Humans Male Algorithms Diagnosis, Computer-Assisted Electronic Health Records Natural Language Processing Female Ischemic Stroke Aged Supervised Machine Learning
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