AIMC Topic:
ROC Curve
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Machine learning-based dynamic mortality prediction after traumatic brain injury.
Scientific reports
Nov 27, 2019
Our aim was to create simple and largely scalable machine learning-based algorithms that could predict mortality in a real-time fashion during intensive care after traumatic brain injury. We performed an observational multicenter study including adul...
Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration.
Acta ophthalmologica
Nov 26, 2019
PURPOSE: To validate the performance of a commercially available, CE-certified deep learning (DL) system, RetCAD v.1.3.0 (Thirona, Nijmegen, The Netherlands), for the joint automatic detection of diabetic retinopathy (DR) and age-related macular dege...
Radiomics based on F-FDG PET/CT could differentiate breast carcinoma from breast lymphoma using machine-learning approach: A preliminary study.
Cancer medicine
Nov 25, 2019
PURPOSE: Our study assessed the ability F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) radiomics to differentiate breast carcinoma from breast lymphoma using machine-learning approach.
Humans
Positron Emission Tomography Computed Tomography
Radiopharmaceuticals
Retrospective Studies
ROC Curve
Female
Machine Learning
Follow-Up Studies
Fluorodeoxyglucose F18
Aged, 80 and over
Image Processing, Computer-Assisted
Aged
Prognosis
Lymphoma
Adult
Diagnosis, Differential
Breast Neoplasms
Middle Aged
Prediction of lithium response using clinical data.
Acta psychiatrica Scandinavica
Nov 22, 2019
OBJECTIVE: Promptly establishing maintenance therapy could reduce morbidity and mortality in patients with bipolar disorder. Using a machine learning approach, we sought to evaluate whether lithium responsiveness (LR) is predictable using clinical ma...
Analyzing gene expression data for pediatric and adult cancer diagnosis using logic learning machine and standard supervised methods.
BMC bioinformatics
Nov 22, 2019
BACKGROUND: Logic Learning Machine (LLM) is an innovative method of supervised analysis capable of constructing models based on simple and intelligible rules. In this investigation the performance of LLM in classifying patients with cancer was evalua...
Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings.
European radiology
Nov 20, 2019
OBJECTIVE: To investigate the feasibility of a deep learning-based detection (DLD) system for multiclass lesions on chest radiograph, in comparison with observers.
Machine learning-based multiparametric MRI radiomics for predicting the aggressiveness of papillary thyroid carcinoma.
European journal of radiology
Nov 20, 2019
PURPOSE: To investigate the predictive capability of machine learning-based multiparametric magnetic resonance (MR) imaging radiomics for evaluating the aggressiveness of papillary thyroid carcinoma (PTC) preoperatively.
Implementing machine learning in bipolar diagnosis in China.
Translational psychiatry
Nov 18, 2019
Bipolar disorder (BPD) is often confused with major depression, and current diagnostic questionnaires are subjective and time intensive. The aim of this study was to develop a new Bipolar Diagnosis Checklist in Chinese (BDCC) by using machine learnin...
TAP: A static analysis model for PHP vulnerabilities based on token and deep learning technology.
PloS one
Nov 18, 2019
With the widespread usage of Web applications, the security issues of source code are increasing. The exposed vulnerabilities seriously endanger the interests of service providers and customers. There are some models for solving this problem. However...
AOCT-NET: a convolutional network automated classification of multiclass retinal diseases using spectral-domain optical coherence tomography images.
Medical & biological engineering & computing
Nov 14, 2019
Since introducing optical coherence tomography (OCT) technology for 2D eye imaging, it has become one of the most important and widely used imaging modalities for the noninvasive assessment of retinal eye diseases. Age-related macular degeneration (A...
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