Titlebook: Information Technology in Bio- and Medical Informatics; 7th International Co M. Elena Renda,Miroslav Bursa,Sami Khuri Conference proceeding

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书目名称Information Technology in Bio- and Medical Informatics影响因子(影响力)




书目名称Information Technology in Bio- and Medical Informatics影响因子(影响力)学科排名




书目名称Information Technology in Bio- and Medical Informatics网络公开度




书目名称Information Technology in Bio- and Medical Informatics网络公开度学科排名




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书目名称Information Technology in Bio- and Medical Informatics被引频次学科排名




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书目名称Information Technology in Bio- and Medical Informatics年度引用学科排名




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书目名称Information Technology in Bio- and Medical Informatics读者反馈学科排名

滔滔不绝地讲

Ontology-Guided Principal Component Analysis: Reaching the Limits of the Doctor-in-the-Looptists who design and develop sophisticated methods and tools. Such methods and tools not only require preprocessing of the data, but most of all a meaningful input selection. Usually, data scientists do not have sufficient background knowledge about the origin of the data and the biomedical problems

Asperity

Ledger

Integrating Open Data on Cancer in Support to Tumor Growth Analysisds for abstractions to disclose an exclusive subset of information related to the disease. Our idea is to create a user interface for linking a simulation on cancer modeling to relevant additional publicly and freely available data. We are not only providing a categorized list of open datasets and q

仪式

Archipelago

Adaptive Segmentation Optimization for Sleep Spindle Detectorsliding windows is relatively simple, works quite good and can work online. It has however many tunable parameters whose proper values depend on the task and signal type. The paper proposes a method of defining optimal parameters for detection of sleep spindles in electroencephalogram. Segmentation

裂隙

Probabilistic Model of Neuronal Background Activity in Deep Brain Stimulation Trajectoriesmodel uses parametric representation of neuronal background activity, estimated using normalized root-mean-square of the signal. Contrary to existing solutions using Bayes classifiers or Hidden Markov Models, our model uses smooth state-transitions represented by sigmoid functions, which ensures fle

travail

Multidisciplinary Team Meetings - A Literature Based Process Analysis treatment and shows workflows in different settings, identifies organizational and technical problems in the MDTM and solutions thereof. It aims to answer the following research questions: (RQ1) .(RQ2) . (RQ3) . This is done by conducting a literature review entailing a forward search of 837 papers

DEAF

Deadpan