AIMC Topic:
Databases, Factual
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Common Audiological Functional Parameters (CAFPAs) for single patient cases: deriving statistical models from an expert-labelled data set.
International journal of audiology
Feb 24, 2020
Statistical knowledge about many patients could be exploited using machine learning to provide supporting information to otolaryngologists and other hearing health care professionals, but needs to be made accessible. The Common Audiological Function...
Prediction of perioperative transfusions using an artificial neural network.
PloS one
Feb 24, 2020
BACKGROUND: Accurate prediction of operative transfusions is essential for resource allocation and identifying patients at risk of postoperative adverse events. This research examines the efficacy of using artificial neural networks (ANNs) to predict...
Development of an artificial neural network model to simulate the growth of microalga Chlorella vulgaris incorporating the effect of micronutrients.
Journal of biotechnology
Feb 22, 2020
Artificial neural network (ANN) models can be trained to simulate the dynamic behavior of biological systems. In the present study, an ANN model was developed upon multilayer perceptron neural network architecture with 23-20-1 configuration to predic...
Machine learning helps identifying volume-confounding effects in radiomics.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Feb 20, 2020
Highlighting the risk of biases in radiomics-based models will help improve their quality and increase usage as decision support systems in the clinic. In this study we use machine learning-based methods to identify the presence of volume-confounding...
Databases, Factual
Carcinoma, Non-Small-Cell Lung
Cluster Analysis
Retrospective Studies
Regression Analysis
Tomography, X-Ray Computed
Machine Learning
Laryngeal Neoplasms
Aged
Software
Principal Component Analysis
Decision Support Systems, Clinical
Oropharyngeal Neoplasms
Adult
Algorithms
Radiometry
Male
Aged, 80 and over
Female
Humans
Middle Aged
Carcinoma, Squamous Cell
Lung Neoplasms
Squamous Cell Carcinoma of Head and Neck
Computer Aided Diagnosis for atrial fibrillation based on new artificial adaptive systems.
Computer methods and programs in biomedicine
Feb 19, 2020
BACKGROUND AND OBJECTIVE: Atrial fibrillation (AF) is the most common cardiac arrhythmia in clinical practice, having been recognized as a true cardiovascular epidemic. In this paper, a new methodology for Computer Aided Diagnosis of AF based on a sp...
Dynamic time warping-based transfer learning for improving common spatial patterns in brain-computer interface.
Journal of neural engineering
Feb 18, 2020
OBJECTIVE: Common spatial patterns (CSP) is a prominent feature extraction algorithm in motor imagery (MI)-based brain-computer interfaces (BCIs). However, CSP is computed using sample-based covariance-matrix estimation. Hence, its performance deteri...
Pharmacometrics and Machine Learning Partner to Advance Clinical Data Analysis.
Clinical pharmacology and therapeutics
Feb 17, 2020
Clinical pharmacology is a multidisciplinary data sciences field that utilizes mathematical and statistical methods to generate maximal knowledge from data. Pharmacometrics (PMX) is a well-recognized tool to characterize disease progression, pharmaco...
Hard exudate detection based on deep model learned information and multi-feature joint representation for diabetic retinopathy screening.
Computer methods and programs in biomedicine
Feb 15, 2020
BACKGROUND AND OBJECTIVE: Diabetic retinopathy (DR), which is generally diagnosed by the presence of hemorrhages and hard exudates, is one of the most prevalent causes of visual impairment and blindness. Early detection of hard exudates (HEs) in colo...
A comparison between Artificial Neural Network and Hybrid Intelligent Genetic Algorithm in predicting the severity of fixed object crashes among elderly drivers.
Accident; analysis and prevention
Feb 14, 2020
Run-off-road (ROR) crashes have always been a major concern as this type of crash is usually associated with a considerable number of serious injury and fatal crashes. A substantial portion of ROR fatalities occur in collisions with fixed objects at ...
An End-to-End Multi-Task Deep Learning Framework for Skin Lesion Analysis.
IEEE journal of biomedical and health informatics
Feb 13, 2020
Automatic skin lesion analysis of dermoscopy images remains a challenging topic. In this paper, we propose an end-to-end multi-task deep learning framework for automatic skin lesion analysis. The proposed framework can perform skin lesion detection, ...
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