「Screening for Osteoporosis from Blood Test Data in Elderly Women Using a Machine Learning Approach」の関連論文
-
Machine Learning to Predict Three Types of Outcomes After Traumatic Brain Injury Using Data at Admission: A Multi-Center Study for Development and Validation
-
Machine Learning for Diagnosis of AD and Prediction of MCI Progression From Brain MRI Using Brain Anatomical Analysis Using Diffeomorphic Deformation.
-
Label Distribution Learning for Automatic Cancer Grading of Histopathological Images of Prostate Cancer
-
Utilization of Multispectral-UAV system for Rice Crop Management
-
Potential of machine learning to predict early ischemic events after carotid endarterectomy or stenting: a comparison with surgeon predictions
-
Detection of Elbow OCD in the Ultrasound Image by Artificial Intelligence Using YOLOv8
-
Evaluation of Deep Learning-Based Monitoring of Frog Reproductive Phenology
-
Utilizing machine learning for detecting patients with IgA nephropathy from computerized medical bill database
-
余事象モデルに基づく未学習クラス推定法と生体信号分類への応用
-
Medical checkup data analysis method based on LiNGAM and its application to nonalcoholic fatty liver disease.
-
Biomass estimation of World rice (Oryza sativa L.) core collection based on the convolutional neural network and digital images of canopy
-
Computer-aided diagnosis of chest X-ray for COVID-19 diagnosis in external validation study by radiologists with and without deep learning system
-
Study on Quick Prediction of Dose Volume Statistics in Proton Beam Therapy using Deep Learning
-
Combining Multiple Indices of Diffusion Tensor Imaging Can Better Differentiate Patients with Traumatic Brain Injury from Healthy Subjects
-
Automated sleep stage scoring employing a reasoning mechanism and evaluation of its explainability
-
Yield Forecasting and Damage Assessment of Paddy to Introduce Crop Insurance in Flash Flood Affected Regional Areas Using Satellite Remote Sensing and Econometric Approach
-
Evaluation of Kidney Histological Images Using Unsupervised Deep Learning
-
Predicting Mathematical Learning Difficulties Using Fundamental Calculative Ability Test (FCAT)
-
Quantitative Assessment of the Contribution of Meteorological Variables to the Prediction of the Number of Heat Stroke Patients for Tokyo
-
うつ病とその症状の生物学的背景を解明するための機械学習アルゴリズムの開発
-
A random heaping model of annual vehicle kilometres travelled considering heterogeneous approximation in reporting
-
Nondestructive spectroscopic research for fast growing hybrid wood
-
Potential of machine learning approaches for predicting mechanical properties of spruce wood in the transverse direction
-
Classification methodologies with high-dimensional data in heterogeneity of sample size and covariance matrices
-
Development of a Visualization Deep Learning Model for Classifying Origins of Ventricular Arrhythmias
-
A half-day stroke workshop based on the Kirkpatrick model to improve new clinical staff behavior
-
インドの複合気候の小学校教室における児童の温熱快適性に関する分析と予測
-
Identification of Predictor Genes of Feed Efficiency in Beef Cattle by Applying Machine Learning (ML) Methods to Multi-tissue Transcriptome Data
-
Machine learning-based evaluation of the damage using images on concrete infrastructure structures
-
R-R interval-based sleep apnea screening by a recurrent neural network in a large clinical polysomnography dataset.
-
住宅の空調利用における多様な居住者の行動の究明:統計分析と予測モデリング
-
スギ・ヒノキ人工林における林分構造が樹幹流に与える影響
-
Construction and Validation of an Image Discrimination Algorithm to Discriminate Necrosis from Wounds in Pressure Ulcers
-
Efficient Convolutional Neural Networks for Brain Machine Interface Systems : A transfer learning approach
-
Object Detection in Paddy Field for Robotic Combine Harvester Based on Semantic Segmentation
-
Anomaly Detection using Adversarial Generative Networks in Multivariate Time Series
-
Improving Compound–Protein Interaction Prediction by Self-Training with Augmenting Negative Samples
-
発達障がい児のための定量的な診断支援法
-
母集団薬物動態モデリング&シミュレーションによる抗微生物薬の個別化投与設計に関する研究
-
Deep Learning Based Intelligent Diagnosis Methods for Rotating Machinery Using Vibration Signal-Approach by Signal Preprocessed SAE and Improved CNN
-
Optimal Number of Systematic Biopsy Cores Used in Magnetic Resonance Imaging/Transrectal Ultrasound Fusion Targeted Prostate Biopsy
-
Deep learning enables instant and versatile estimation of rice yield using ground-based RGB images
-
Early Detection of Adverse Drug Reaction Signals by Association Rule Mining Using Large-Scale Administrative Claims Data
-
Pharmacoeconomic analysis of biologics and methotrexate for rheumatoid arthritis from the standpoint of the number needed to treat concept under the Japanese health insurance system
-
Image segmentation of the ventricular septum in fetal cardiac ultrasound videos based on deep learning using time-series information (本文)
-
健康測定会に参加した高齢者の認知機能低下と身体機能に関する決定木分析
-
Comparison between pystan and numpyro in Bayesian item response theory: evaluation of agreement of estimated latent parameters and sampling performance
-
Analysis of the nutritional status of children under age 5 years:a case study of Namibia
-
Bayesian method with horseshoe prior for incorporating multiple historical control data in randomized trials
-
A model for estimating the brainstem volume in normal healthy individuals and its application to diffuse axonal injury patients