AIMC Topic: Aged, 80 and over
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Classification of hospital admissions into emergency and elective care: a machine learning approach.
Health care management science
Nov 25, 2017
Rising admissions from emergency departments (EDs) to hospitals are a primary concern for many healthcare systems. The issue of how to differentiate urgent admissions from non-urgent or even elective admissions is crucial. We aim to develop a model f...
Early Diagnosis of Alzheimer's Disease Based on Resting-State Brain Networks and Deep Learning.
IEEE/ACM transactions on computational biology and bioinformatics
Nov 23, 2017
Computerized healthcare has undergone rapid development thanks to the advances in medical imaging and machine learning technologies. Especially, recent progress on deep learning opens a new era for multimedia based clinical decision support. In this ...
Prognostic value of postoperative high-sensitivity troponin T in patients with different stages of kidney disease undergoing noncardiac surgery.
British journal of anaesthesia
Nov 23, 2017
BACKGROUND: Emerging evidence suggests that postoperative troponin release is a strong and independent predictor of short-term mortality. However, evaluating elevated troponins in patients with chronic kidney disease (CKD) is still controversial and ...
Residual Convolutional Neural Network for the Determination of Status in Low- and High-Grade Gliomas from MR Imaging.
Clinical cancer research : an official journal of the American Association for Cancer Research
Nov 22, 2017
Isocitrate dehydrogenase () mutations in glioma patients confer longer survival and may guide treatment decision making. We aimed to predict the status of gliomas from MR imaging by applying a residual convolutional neural network to preoperative r...
Aged
Aged, 80 and over
Young Adult
Adult
Brain Neoplasms
Humans
Neural Networks, Computer
Brain
Retrospective Studies
Female
Preoperative Period
Isocitrate Dehydrogenase
Magnetic Resonance Imaging
Predictive Value of Tests
Male
Neoplasm Grading
Middle Aged
Mutation
Image Processing, Computer-Assisted
Datasets as Topic
Glioma
First Report of NRG Oncology/Radiation Therapy Oncology Group 0622: A Phase 2 Trial of Samarium-153 Followed by Salvage Prostatic Fossa Irradiation in High-Risk Clinically Nonmetastatic Prostate Cancer After Radical Prostatectomy.
International journal of radiation oncology, biology, physics
Nov 21, 2017
PURPOSE: To investigate the utility of Sm lexidronam (Quadramet) in the setting of men with prostate cancer status post radical prostatectomy who develop biochemical failure with no clinical evidence of osseous metastases.
A Diadochokinesis-based expert system considering articulatory features of plosive consonants for early detection of Parkinson's disease.
Computer methods and programs in biomedicine
Nov 16, 2017
BACKGROUND AND OBJECTIVE: A new expert system is proposed to discriminate healthy people from people with Parkinson's Disease (PD) in early stages by using Diadochokinesis tests.
Searching for prostate cancer by fully automated magnetic resonance imaging classification: deep learning versus non-deep learning.
Scientific reports
Nov 13, 2017
Prostate cancer (PCa) is a major cause of death since ancient time documented in Egyptian Ptolemaic mummy imaging. PCa detection is critical to personalized medicine and varies considerably under an MRI scan. 172 patients with 2,602 morphologic image...
Construction of mass spectra database and diagnosis algorithm for head and neck squamous cell carcinoma.
Oral oncology
Nov 10, 2017
OBJECTIVES: Intraoperative identification of tumor margins is essential to achieving complete tumor resection. However, the process of intraoperative pathological diagnosis involves cumbersome procedures, such as preparation of cryosections and micro...
Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms.
Physics in medicine and biology
Nov 10, 2017
Transfer learning in deep convolutional neural networks (DCNNs) is an important step in its application to medical imaging tasks. We propose a multi-task transfer learning DCNN with the aim of translating the 'knowledge' learned from non-medical imag...
Estimating a person's age from walking over a sensor floor.
Computers in biology and medicine
Nov 7, 2017
Ageing has an effect on many parameters of the physical condition, and one of them is the way a person walks. This property, the gait pattern, can unintrusively be observed by letting people walk over a sensor floor. The electric capacitance sensors ...
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