112,580 Hits in 2.8 sec

Neural Computation in Medicine: Perspectives and Prospects [chapter]

Richard Dybowski
2000 Artificial Neural Networks in Medicine and Biology  
In 1998, over 400 papers on artificial neural networks (ANNs) were published in the context of medicine, but why is there this interest in ANNs?  ...  Finally, we briefly look at two directions in which ANNs are likely to develop, namely the use of Bayesian statistics and knowledgedata fusion.  ...  in medicine has raised a number of issues.  ... 
doi:10.1007/978-1-4471-0513-8_4 dblp:conf/annimab/Dybowski00 fatcat:lrtzpnhjmzf4fequfmqd4sswqi

Anaerobic threshold measurement using dynamic neural network models

J.V Ringwood
1999 Computers in Biology and Medicine  
This paper deals with the subject of anaerobic threshold measurements for athletes involved in aerobic or aerobic/anaerobic sports.  ...  This paper demonstrates how dynamical data can be used to accurately determine the steady-state heart-rate/work-rate curve (SSHW curve) using neural network dynamic models. #  ...  Acknowledgements The author would like to acknowledge the assistance in this research from Martin Docherty and Pat Bohan, who were ®nal year EE students at DCU in 1995 and 1996, respectively.  ... 
doi:10.1016/s0010-4825(99)00008-6 pmid:10439895 fatcat:bvj5rob7cra5zbho3vmg5zid34

Combining neural network predictions for medical diagnosis

Yoichi Hayashi, Rudy Setiono
2002 Computers in Biology and Medicine  
The second level networks achieve an accuracy that is higher than that of the individual networks in the ÿrst level.  ...  We present our results from combining the predictions of an ensemble of neural networks for the diagnosis of hepatobiliary disorders.  ...  The three methods differ in their computation of the ensemble weights given to the component networks in the ensemble.  ... 
doi:10.1016/s0010-4825(02)00006-9 pmid:11931862 fatcat:mru5s4nrdbhmdg6go26z22rwte

Phase Synchronization Dynamics of Neural Network during Seizures

Hao Liu, Puming Zhang
2018 Computational and Mathematical Methods in Medicine  
In this study, the brain networks were established by calculating phase synchronization based on electrocorticogram (ECoG) signals from eleven refractory epilepsy patients.  ...  Those results indicated that synchronization might participate in termination of seizures, and the network states transitions might not dominate the seizure evolution.  ...  Computational and Mathematical Methods in Medicine  ... 
doi:10.1155/2018/1354915 pmid:30410569 pmcid:PMC6205102 fatcat:b3x36c2g3nahdiuwp267rjkgu4

Diagnosing Parkinson's Diseases Using Fuzzy Neural System

Rahib H. Abiyev, Sanan Abizade
2016 Computational and Mathematical Methods in Medicine  
The approach described in this paper allows enhancing the capability of the designed system and efficiently distinguishing healthy individuals.  ...  A diagnosing of Parkinson's diseases is performed using fusion of the fuzzy system and neural networks. The structure and learning algorithms of the proposed fuzzy neural system (FNS) are presented.  ...  Table 3 describes training and testing results of FNS model obtained using different number of Computational and Mathematical Methods in Medicine (16) 8 Table 3 : 3 Simulation results of FNS.  ... 
doi:10.1155/2016/1267919 pmid:26881009 pmcid:PMC4736962 fatcat:jtrgpyytevdg3j2kfnfprnuuau

The Prediction in Computer Color Matching of Dentistry Based on GA+BP Neural Network

Haisheng Li, Long Lai, Li Chen, Cheng Lu, Qiang Cai
2015 Computational and Mathematical Methods in Medicine  
Back propagation neural network (BPNN) has already been introduced into the computer color matching in dentistry, but it has disadvantages such as unstable and low accuracy.  ...  To our knowledge, we firstly combine the BPNN with GA in computer color matching in dentistry.  ...  In order Computational and Mathematical Methods in Medicine 3 to make the output away from the saturated zone, neuron net input should be compressed.  ... 
doi:10.1155/2015/816719 pmid:25873990 pmcid:PMC4385598 fatcat:2mli7m4kfvhn7nv4qwyt2atfea

Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images

Wei Li, Peng Cao, Dazhe Zhao, Junbo Wang
2016 Computational and Mathematical Methods in Medicine  
Computer aided detection (CAD) systems can assist radiologists by offering a second opinion on early diagnosis of lung cancer.  ...  Classification and feature representation play critical roles in false-positive reduction (FPR) in lung nodule CAD.  ...  Computational and Mathematical Methods in Medicine 5 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1 2 3 4 5 6 7 8 9 10 Error or accuracy Test sequence CF-test T1-error  ... 
doi:10.1155/2016/6215085 pmid:28070212 pmcid:PMC5192289 fatcat:vqrefowaqjchfallvdrbluor3u

Drug-Drug Interaction Extraction via Convolutional Neural Networks

Shengyu Liu, Buzhou Tang, Qingcai Chen, Xiaolong Wang
2016 Computational and Mathematical Methods in Medicine  
Drug-drug interaction (DDI) extraction as a typical relation extraction task in natural language processing (NLP) has always attracted great attention.  ...  Recently, convolutional neural networks (CNN), a robust machine learning method which almost does not need manually defined features, has exhibited great potential for many NLP tasks.  ...  DDIs without type information are labeled in the DDIExtraction 2011 corpus, while, in the DDIExtraction 2013 challenge, Computational and Mathematical Methods in Medicine Figure 1: Overall workflow of  ... 
doi:10.1155/2016/6918381 pmid:26941831 pmcid:PMC4752975 fatcat:om2ls5gubbe27jnmgz4ezkibqe

DBT Masses Automatic Segmentation Using U-Net Neural Networks

Xiaobo Lai, Weiji Yang, Ruipeng Li
2020 Computational and Mathematical Methods in Medicine  
The proposed method can effectively improve the performance in the automatic segmentation of the masses in DBT images.  ...  Secondly, an efficient U-Net neural network is built and image patches are extracted before data augmentation to establish the training dataset to train the U-Net model.  ...  Acknowledgments is work was funded in part by the National Science Foundation of China (Grant no. 61602419) and also supported by the Natural Science Foundation of Zhejiang Province of China (Grant nos  ... 
doi:10.1155/2020/7156165 pmid:32411285 pmcid:PMC7204342 fatcat:gncjacwclbgodbyvlv2lm3vnxu

Artificial Neural Networks in Mammography Interpretation and Diagnostic Decision Making

Turgay Ayer, Qiushi Chen, Elizabeth S. Burnside
2013 Computational and Mathematical Methods in Medicine  
The integration of computer models to help radiologists increase the accuracy of mammography examinations in diagnostic decision making has gained increasing attention in the last two decades.  ...  In this study, we provide an overview of one of the most commonly used models, artificial neural networks (ANNs), in mammography interpretation and diagnostic decision making and discuss important features  ...  The decrease of was significant ( < 0.01) even with only 10% missing data (0.84 ± 0.03) compared with 8 Computational and Mathematical Methods in Medicine the complete data (0.94 ± 0.01).  ... 
doi:10.1155/2013/832509 pmid:23781276 pmcid:PMC3677609 fatcat:aoas5oa57jgd5mitzbbtk3rofm

Coarse-grain parallel computing for very large scale neural simulations in the NEXUS simulation environment

Ko Sakai, Paul Sajda, Shih-Cheng Yen, Leif H. Finkel
1997 Computers in Biology and Medicine  
Coarse-grain parallel computing offers natural advantages in simulating functionally segregated neural processes.  ...  We describe a neural simulator designed for simulating very large scale models of cortical architectures.  ...  Acknowledgments This work was supported by grants from The Office of Naval Research (N00014-93-1-0681), The Whitaker Foundation, and The McDonnell-Pew Program in Cognitive Neuroscience.  ... 
doi:10.1016/s0010-4825(96)00029-7 pmid:9303264 fatcat:cmr5qqwqtrbxzdtjsjxkho5oku

Computational Models of Neuron-Astrocyte Interactions Lead to Improved Efficacy in the Performance of Neural Networks

Alberto Alvarellos-González, Alejandro Pazos, Ana B. Porto-Pazos
2012 Computational and Mathematical Methods in Medicine  
Since the actual impact of astrocytes in neural network function is unknown, we have investigated, using computational models, different astrocyte-neuron interactions for information processing; different  ...  The importance of astrocytes, one part of the glial system, for information processing in the brain has recently been demonstrated.  ...  processing in computers.  ... 
doi:10.1155/2012/476324 pmid:22649480 pmcid:PMC3357509 fatcat:ki75eysh4zfmlfalbinec6q4ui

Predictive Behavior of a Computational Foot/Ankle Model through Artificial Neural Networks

Ruchi D. Chande, Rosalyn Hobson Hargraves, Norma Ortiz-Robinson, Jennifer S. Wayne
2017 Computational and Mathematical Methods in Medicine  
We sought to improve the predictive capability of a computational foot/ankle model by optimizing its ligament stiffness inputs using feedforward and radial basis function neural networks.  ...  Computational models are useful tools to study the biomechanics of human joints. Their predictive performance is heavily dependent on bony anatomy and soft tissue properties.  ...  Once it learns the relationship between known input-output data, the ANN can then apply this knowledge to similar, never-before-seen data 2 Computational and Mathematical Methods in Medicine to predict  ... 
doi:10.1155/2017/3602928 pmid:28250804 pmcid:PMC5304311 fatcat:hn3wacde7jbtfle3ndsmzs2lgi

Research of Epidemic Big Data Based on Improved Deep Convolutional Neural Network

Wendong Wang
2020 Computational and Mathematical Methods in Medicine  
In view of this, an improved deep convolutional neural network ("CNN+" for short) algorithm was proposed to predict the changes of diabetes.  ...  In this way, the "CNN+" algorithm can take the advantages of both the deep CNN and the bagging algorithm.  ...  In Figure 2 , w and b are the parameters needed for 2 Computational and Mathematical Methods in Medicine network training.  ... 
doi:10.1155/2020/3641745 pmid:32774444 pmcid:PMC7396034 fatcat:ch7uhzo4uzehpda76cwa6272ce

Emergency Department Capacity Planning: A Recurrent Neural Network and Simulation Approach

Serkan Nas, Melik Koyuncu
2019 Computational and Mathematical Methods in Medicine  
Emergency departments (EDs) play a vital role in the whole healthcare system as they are the first point of care in hospitals for urgent and critically ill patients.  ...  Mean arrival rate is used as a feature in addition to climatic and temporal variables.  ...  Acknowledgments e authors would like to thank private Çınar Hospital's management team for the help in simulation design and data collection and for all their opinions. is research was funded by Çukurova  ... 
doi:10.1155/2019/4359719 pmid:31827585 pmcid:PMC6881773 fatcat:gmwnj3x7dzbgxe7nfez57fkcbq
« Previous Showing results 1 — 15 out of 112,580 results