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Open AccessPrediction of xerostomia in elderly based on clinical characteristics and salivary flow rate with machine learning
Xerostomia may be accompanied by changes in salivary flow rate and the incidence increases in elderly. We aimed to use machine learning algorithms, to identify significant predictors for the presence of xerost...
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Article
Open AccessHigh DKK3 expression related to immunosuppression was associated with poor prognosis in glioblastoma: machine learning approach
Glioblastoma multiforme (GBM) is an aggressive malignant primary brain tumor. Wnt/β-catenin is known to be related to GBM stemness. Cancer stem cells induce immunosuppressive and treatment resistance in GBM. W...
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Open AccessLearning to increase matching efficiency in identifying additional b-jets in the \(\text {t}\bar{\text {t}}\text {b}\bar{\text {b}}\) process
The \(\text {t}\bar{\text {t}}\text {H}(\text {b}\bar{\text {b}})\) t ...
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Open AccessAge group prediction with panoramic radiomorphometric parameters using machine learning algorithms
The aim of this study is to investigate the relationship of 18 radiomorphometric parameters of panoramic radiographs based on age, and to estimate the age group of people with permanent dentition in a non-inva...
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Article
Open AccessAdvantages of deep learning with convolutional neural network in detecting disc displacement of the temporomandibular joint in magnetic resonance imaging
This study investigated the usefulness of deep learning-based automatic detection of anterior disc displacement (ADD) from magnetic resonance imaging (MRI) of patients with temporomandibular joint disorder (TM...
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Open AccessAuthor Correction: Age-group determination of living individuals using first molar images based on artificial intelligence
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A Riemannian geometric framework for manifold learning of non-Euclidean data
A growing number of problems in data analysis and classification involve data that are non-Euclidean. For such problems, a naive application of vector space analysis algorithms will produce results that depen...
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Article
Open AccessCancer-associated fibroblasts are associated with poor prognosis in solid type of lung adenocarcinoma in a machine learning analysis
Cancer-associated fibroblasts (CAFs) participate in critical processes in the tumor microenvironment, such as extracellular matrix remodeling, reciprocal signaling interactions with cancer cells and crosstalk ...
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Article
Open AccessAge-group determination of living individuals using first molar images based on artificial intelligence
Dental age estimation of living individuals is difficult and challenging, and there is no consensus method in adults with permanent dentition. Thus, we aimed to provide an accurate and robust artificial intell...
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Article
A Machine Learning-Based Approach for the Prediction of Acute Coronary Syndrome Requiring Revascularization
The aim of this study is to predict acute coronary syndrome (ACS) requiring revascularization in those patients presenting early-stage angina-like symptom using machine learning algorithms. We obtained data fr...
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Foreword: special issue for the journal track of the 10th Asian Conference on Machine Learning (ACML 2018)
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Open AccessDecoding of top-down cognitive processing for SSVEP-controlled BMI
We present a fast and accurate non-invasive brain-machine interface (BMI) based on demodulating steady-state visual evoked potentials (SSVEPs) in electroencephalography (EEG). Our study reports an SSVEP-BMI th...
