AIMC Topic: Aged, 80 and over
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Perioperative and oncological outcomes of robot-assisted radical cystectomy in octogenarians.
Journal of geriatric oncology
Jul 24, 2019
Use of Natural Language Processing Tools to Identify and Classify Periprosthetic Femur Fractures.
The Journal of arthroplasty
Jul 24, 2019
BACKGROUND: Manual chart review is labor-intensive and requires specialized knowledge possessed by highly trained medical professionals. The cost and infrastructure challenges required to implement this is prohibitive for most hospitals. Natural lang...
Response to repeat echoendoscopic celiac plexus neurolysis in pancreatic cancer patients: A machine learning approach.
Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.]
Jul 24, 2019
BACKGROUND: /Objectives: Efficacy of repeat echoendoscopic celiac plexus neurolysis is still unclear. Aim of the study was to assess the efficacy of repeat celiac plexus neurolysis and to build an artificial neural network model able to predict pain ...
Readmission prediction using deep learning on electronic health records.
Journal of biomedical informatics
Jul 24, 2019
Unscheduled 30-day readmissions are a hallmark of Congestive Heart Failure (CHF) patients that pose significant health risks and escalate care cost. In order to reduce readmissions and curb the cost of care, it is important to initiate targeted inter...
Assistive robots to improve the independent living of older persons: results from a needs study.
Disability and rehabilitation. Assistive technology
Jul 22, 2019
BACKGROUND: More than 70% of elderly people age 80 and older are experiencing problems in personal mobility. Assistive robotics can represent a concrete support providing also a support for caregivers, clinicians and nurses by reducing their burden.
Radiomics Analysis for Glioma Malignancy Evaluation Using Diffusion Kurtosis and Tensor Imaging.
International journal of radiation oncology, biology, physics
Jul 22, 2019
PURPOSE: A noninvasive diagnostic method to predict the degree of malignancy accurately would be of great help in glioma management. This study aimed to create a highly accurate machine learning model to perform glioma grading.
Oligodendroglioma
Datasets as Topic
Retrospective Studies
Diffusion Tensor Imaging
Female
Anisotropy
Adult
Aged
Diffusion Magnetic Resonance Imaging
Humans
Brain Neoplasms
Aged, 80 and over
Astrocytoma
Glioma
Machine Learning
Male
Young Adult
Diagnosis, Differential
Middle Aged
Glioblastoma
Adolescent
Neoplasm Grading
Energy-Efficient Intelligent ECG Monitoring for Wearable Devices.
IEEE transactions on biomedical circuits and systems
Jul 22, 2019
Wearable intelligent ECG monitoring devices can perform automatic ECG diagnosis in real time and send out alert signal together with abnormal ECG signal for doctor's further analysis. This provides a means for the patient to identify their heart prob...
Development and validation of a pragmatic natural language processing approach to identifying falls in older adults in the emergency department.
BMC medical informatics and decision making
Jul 22, 2019
BACKGROUND: Falls among older adults are both a common reason for presentation to the emergency department, and a major source of morbidity and mortality. It is critical to identify fall patients quickly and reliably during, and immediately after, em...
Implementation of a cloud-based referral platform in ophthalmology: making telemedicine services a reality in eye care.
The British journal of ophthalmology
Jul 18, 2019
BACKGROUND: Hospital Eye Services (HES) in the UK face an increasing number of optometric referrals driven by progress in retinal imaging. The National Health Service (NHS) published a 10-year strategy (NHS Long-Term Plan) to transform services to me...
Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection.
IEEE transactions on medical imaging
Jul 17, 2019
While convolutional neural network (CNN) has been demonstrating powerful ability to learn hierarchical spatial features from medical images, it is still difficult to apply it directly to resting-state functional MRI (rs-fMRI) and the derived brain fu...
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