AIMC Topic:
Bayes Theorem

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Constructing co-occurrence network embeddings to assist association extraction for COVID-19 and other coronavirus infectious diseases.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2020
OBJECTIVE: As coronavirus disease 2019 (COVID-19) started its rapid emergence and gradually transformed into an unprecedented pandemic, the need for having a knowledge repository for the disease became crucial. To address this issue, a new COVID-19 m...
Pneumonia, Viral Coronavirus Infections Datasets as Topic Algorithms Support Vector Machine ROC Curve Decision Trees Humans Logistic Models Software Bayes Theorem Pandemics Neural Networks, Computer COVID-19
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Prediction of all-cause mortality in haemodialysis patients using a Bayesian network.

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association Aug 1, 2020
BACKGROUND: All-cause mortality in haemodialysis (HD) is high, reaching 15.6% in the first year according to the European Renal Association.
Humans Artificial Intelligence Renal Dialysis ROC Curve Prospective Studies Bayes Theorem Prognosis Survival Rate
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Using Machine Learning to Estimate Unobserved COVID-19 Infections in North America.

The Journal of bone and joint surgery. American volume Jul 1, 2020
BACKGROUND: The detection of coronavirus disease 2019 (COVID-19) cases remains a huge challenge. As of April 22, 2020, the COVID-19 pandemic continues to take its toll, with >2.6 million confirmed infections and >183,000 deaths. Dire projections are ...
Computer Simulation SARS-CoV-2 Canada COVID-19 Forecasting North America Betacoronavirus Pneumonia, Viral United States Bayes Theorem Coronavirus Infections Humans Machine Learning Pandemics
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Generative and discriminative model-based approaches to microscopic image restoration and segmentation.

Microscopy (Oxford, England) Apr 8, 2020
Image processing is one of the most important applications of recent machine learning (ML) technologies. Convolutional neural networks (CNNs), a popular deep learning-based ML architecture, have been developed for image processing applications. Howev...
Image Processing, Computer-Assisted Bayes Theorem Microscopy, Electron Neural Networks, Computer Machine Learning
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Application of unsupervised learning and process simulation for energy optimization of a WWTP under various weather conditions.

Water science and technology : a journal of the International Association on Water Pollution Research Apr 1, 2020
This paper outlines a hybrid modeling approach to facilitate weather-based operation and energy optimization for the largest Italian wastewater treatment plant (WWTP). Two clustering methods, K-means algorithm and Gaussian mixture model (GMM) based o...
Normal Distribution Bayes Theorem Weather Wastewater Unsupervised Machine Learning
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External Validation of PATHFx Version 3.0 in Patients Treated Surgically and Nonsurgically for Symptomatic Skeletal Metastases.

Clinical orthopaedics and related research Apr 1, 2020
BACKGROUND: PATHFx is a clinical decision-support tool based on machine learning capable of estimating the likelihood of survival after surgery for patients with skeletal metastases. The applicability of any machine-learning tool depends not only on ...
Humans Machine Learning Decision Support Techniques Registries Male Prognosis Fractures, Spontaneous Survival Analysis Bone Neoplasms Orthopedic Procedures Female Radiotherapy Bayes Theorem
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A feedforward neural network for direction-of-arrival estimation.

The Journal of the Acoustical Society of America Mar 1, 2020
This paper examines the relationship between conventional beamforming and linear supervised learning, then develops a nonlinear deep feed-forward neural network (FNN) for direction-of-arrival (DOA) estimation. First, conventional beamforming is refor...
Neural Networks, Computer Bayes Theorem Acoustics
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A Bayesian classification model for discriminating common infectious diseases in Zhejiang province, China.

Medicine Feb 1, 2020
To develop a classification model for accurately discriminating common infectious diseases in Zhejiang province, China.Symptoms and signs, abnormal lab test results, epidemiological features, as well as the incidence rates were treated as predictors,...
Artificial Intelligence Humans Bayes Theorem Communicable Diseases Diagnosis, Computer-Assisted Reproducibility of Results China Incidence
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Automated Detection of Radiology Reports that Require Follow-up Imaging Using Natural Language Processing Feature Engineering and Machine Learning Classification.

Journal of digital imaging Feb 1, 2020
While radiologists regularly issue follow-up recommendations, our preliminary research has shown that anywhere from 35 to 50% of patients who receive follow-up recommendations for findings of possible cancer on abdominopelvic imaging do not return fo...
Natural Language Processing Radiology Bayes Theorem Machine Learning Follow-Up Studies Humans
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Multivariate Data Analysis and Machine Learning for Prediction of MCI-to-AD Conversion.

Advances in experimental medicine and biology Jan 1, 2020
There has always been a need for discovering efficient and dependable Alzheimer's disease (AD) diagnostic biomarkers. Like the majority of diseases, the earlier the diagnosis, the most effective the treatment. (Semi)-automated structural magnetic res...
Diagnostic Techniques, Neurological Cognitive Dysfunction Brain Support Vector Machine Humans Magnetic Resonance Imaging Case-Control Studies Machine Learning Bayes Theorem Diagnosis, Computer-Assisted Alzheimer Disease Multivariate Analysis
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