標(biāo)題: Titlebook: Artificial Intelligence in Medicine; 13th Conference on A Mor Peleg,Nada Lavra?,Carlo Combi Conference proceedings 2011 Springer-Verlag Gmb [打印本頁] 作者: Forbidding 時間: 2025-3-21 16:40
書目名稱Artificial Intelligence in Medicine影響因子(影響力)
書目名稱Artificial Intelligence in Medicine影響因子(影響力)學(xué)科排名
書目名稱Artificial Intelligence in Medicine網(wǎng)絡(luò)公開度
書目名稱Artificial Intelligence in Medicine網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Intelligence in Medicine被引頻次
書目名稱Artificial Intelligence in Medicine被引頻次學(xué)科排名
書目名稱Artificial Intelligence in Medicine年度引用
書目名稱Artificial Intelligence in Medicine年度引用學(xué)科排名
書目名稱Artificial Intelligence in Medicine讀者反饋
書目名稱Artificial Intelligence in Medicine讀者反饋學(xué)科排名
作者: 嘴唇可修剪 時間: 2025-3-21 21:14 作者: 星球的光亮度 時間: 2025-3-22 01:52 作者: 弄臟 時間: 2025-3-22 07:19 作者: 震驚 時間: 2025-3-22 12:20 作者: 滑稽 時間: 2025-3-22 16:04
Architectures for Frequency Synthesizers,t against these maladies. (Genetic overlap of complex phenotypes has gained increasing experimental support and is no longer just an ungrounded scientific hypothesis.) Furthermore, as yet largely unknown shared environmental factors likely tend to trigger the manifestation of more than one phenotype作者: Pert敏捷 時間: 2025-3-22 18:35
Silver Soled State Energy Storage Devices, in turn, requires advanced IT support for healthcare processes covering both organizational procedures and knowledge-intensive, dynamic treatment processes. Nowadays, required agility is often hindered by a lack of flexibility in hospital information systems. To overcome this inflexibility a new g作者: Cumulus 時間: 2025-3-22 21:38 作者: 千篇一律 時間: 2025-3-23 03:16 作者: lanugo 時間: 2025-3-23 09:03
J. Lee,A. Lamperski,J. Schmitt,N. Cowanss of EIRA is the lack of mechanisms to describe to the clinicians, rationales behind the anomalous detections. In this paper, we extend EIRA by providing it with an argumentation-based justification system that formalizes and communicates to the clinicians the reasons why a patient response is anom作者: Genetics 時間: 2025-3-23 12:34 作者: 使服水土 時間: 2025-3-23 15:29 作者: Saline 時間: 2025-3-23 18:57 作者: AUGER 時間: 2025-3-24 01:59
,Mixed–Integer Real–Time Iterations,ction was carried out in free-living conditions and in three controlled gymnasium circuits, for a total amount of 179.80?h of data divided into: sedentary situations (65.5%), light-to-moderate activity (17.6%) and vigorous exercise (16.9%). The proposed machine learning algorithms comprise the follo作者: VALID 時間: 2025-3-24 03:09
,Mixed–Integer Real–Time Iterations,Standard gene set enrichment analysis (GSEA) is not appropriate in this context, due to the low specificity of the relation between miRNAs and their target genes. We developed alternative strategies to gain better insights in the differences in biological processes involved in different experimental作者: 含水層 時間: 2025-3-24 06:45 作者: 總 時間: 2025-3-24 10:55 作者: 摘要記錄 時間: 2025-3-24 17:06 作者: 不確定 時間: 2025-3-24 20:56 作者: Distribution 時間: 2025-3-25 01:59 作者: 甜瓜 時間: 2025-3-25 04:08 作者: Adenoma 時間: 2025-3-25 07:56 作者: Blanch 時間: 2025-3-25 14:35 作者: DEFER 時間: 2025-3-25 16:37
https://doi.org/10.1007/978-3-319-75011-8ss of building models promotes generation of ideas and describes three systems resulting from this process, i.e. for assessing pulmonary gas exchange, calculating arterial acid-base status; and optimizing mechanical ventilation. Each system is presented and its current status and impact reviewed.作者: 步兵 時間: 2025-3-25 23:42 作者: 我悲傷 時間: 2025-3-26 01:09 作者: 轉(zhuǎn)向 時間: 2025-3-26 06:04 作者: outset 時間: 2025-3-26 10:50 作者: debouch 時間: 2025-3-26 16:34 作者: Infelicity 時間: 2025-3-26 19:02 作者: Manifest 時間: 2025-3-26 22:46 作者: blight 時間: 2025-3-27 05:02
How to Use Symbolic Fusion to Support the Sleep Apnea Syndrome Diagnosising of many physiological parameters to be diagnosed. The analysis of these curves is a time consuming task made by sleep Physicians. First, they detect some physiological events on each curve and then, they point out links between respiratory events and their consequences. To support the diagnosis,作者: 親屬 時間: 2025-3-27 07:44
Ontology-Based Generation of Dynamic Feedback on Physical Activity feedback to help patients reach a healthy daily pattern. The system has shown positive effects in trials on patient groups including COPD and obese patients. We describe the design and implementation of a new feedback generation module which improves interaction with the patient by providing person作者: START 時間: 2025-3-27 10:05
A Case Study of Stacked Multi-view Learning in Dementia Research etc. Thus, dementia classification should lend itself to so-called .. Instead of simply combining several views, we use stacking to make the most of the information from the various views (PET scans, MMSE, CERAD and demographic variables). In the paper, we not only show the performance of stacked m作者: 鋸齒狀 時間: 2025-3-27 13:46 作者: Lobotomy 時間: 2025-3-27 21:43
A Data Mining Library for miRNA Annotation and AnalysisStandard gene set enrichment analysis (GSEA) is not appropriate in this context, due to the low specificity of the relation between miRNAs and their target genes. We developed alternative strategies to gain better insights in the differences in biological processes involved in different experimental作者: sigmoid-colon 時間: 2025-3-27 22:39 作者: 細(xì)微的差異 時間: 2025-3-28 02:12
Comparing Machine-Learning Classifiers in Keratoconus Diagnosis from ORA Examinationsnowledge improvement, corneal physical parameters were considered important to its evaluation. The Ocular Response Analyzer (ORA) provides some physical parameters using an applanation process to measure cornea biomechanical properties. This paper presents a study of machine learning classifiers in 作者: 哪有黃油 時間: 2025-3-28 08:26
HRVFrame: Java-Based Framework for Feature Extraction from Cardiac Rhythmovel Java-based computer framework for feature extraction from cardiac rhythms. The framework called HRVFrame implements more than 30 HRV linear time domain, frequency domain, time-frequency domain, and nonlinear features. Output of the framework in the form of .arff files enables easier medical kno作者: 極力證明 時間: 2025-3-28 10:32
Lessons Learned from Implementing and Evaluating Computerized Decision Support Systemsms (CDSS). CDSSs aim at providing meaningful feedback to professionals in order to positively influence their behavior. Intensive care medicine, with its heavy reliance on information and the advanced information infrastructure in intensive care units (ICUs), is an attractive specialty and environme作者: Carbon-Monoxide 時間: 2025-3-28 15:24
CARDSS: Development and Evaluation of a Guideline Based Decision Support System for Cardiac Rehabilimyocardial infarctions) and cardiac interventions (such as heart surgery). To stimulate implementation of the national guidelines, an electronic patient record system with computerised decision support functionalities called CARDSS (cardiac rehabilitation decision support system) was developed, and 作者: 織布機 時間: 2025-3-28 20:01 作者: BOOM 時間: 2025-3-29 00:21 作者: GIBE 時間: 2025-3-29 05:24 作者: 易發(fā)怒 時間: 2025-3-29 09:36 作者: 發(fā)生 時間: 2025-3-29 15:23 作者: 刀鋒 時間: 2025-3-29 17:23
How to Use Symbolic Fusion to Support the Sleep Apnea Syndrome Diagnosissician and then analyzed by our method. We compared the ratio of the AHI got by the automatic analysis and the AHI got by the sleep Physician. . Globally, we overvalued the count of apneas and hypopneas for the group of patients with .?≤?5, that are considered as healthy patients. In average, for th作者: 思考 時間: 2025-3-29 23:16 作者: GIBE 時間: 2025-3-30 03:57 作者: hidebound 時間: 2025-3-30 06:58 作者: Delude 時間: 2025-3-30 09:26
,Mixed–Integer Real–Time Iterations, Classification errors tended to be concentrated around transients, what constrains their practical impact. Hence, we consider our proposal to be suitable for 24?h-based monitoring of physical activity in ambulatory scenarios and a first step towards intensity-specific energy expenditure estimators.作者: negligence 時間: 2025-3-30 13:45
Conference proceedings 2011 papers are organized in topical sections on knowledge-based systems; data mining; special session on AI applications; probabilistic modeling and reasoning; terminologies and ontologies; temporal reasoning and temporal data mining; therapy planning, scheduling and guideline-based care; and natural language processing..作者: entice 時間: 2025-3-30 17:18 作者: prostatitis 時間: 2025-3-30 23:57 作者: 無意 時間: 2025-3-31 03:34
https://doi.org/10.1007/978-3-642-78774-4alised dynamic context-aware feedback. The system uses an ontology of messages to find appropriate feedback using context information to prune irrelevant paths. The system adapts using derived probabilities about user preferences for certain message types. We aim to improve patient compliance and user experience.作者: Asperity 時間: 2025-3-31 08:21 作者: tenuous 時間: 2025-3-31 13:00 作者: APNEA 時間: 2025-3-31 16:35
Ratan Kumar Roy,Ahana Choudhurykeratoconus diagnosis from ORA examinations. As a first use of machine learning approach with ORA parameters, this research work presents a performance comparison of the main machine learning algorithms. This approach improves ORA parameters’ analysis helping ophthalmologist’s efficiency in clinical diagnosis.作者: 怕失去錢 時間: 2025-3-31 18:25
Understanding Etiology of Complex Neurodevelopmental Disorders: Two Approaches. Although it may seem overly ambitious to target multiple phenotypes jointly, we believe we can obtain much more information from existing data and gain new insights into individual phenotypes by modeling phenotypes jointly. My talk sketches two distinct computational approaches to this problem.作者: 花束 時間: 2025-3-31 23:56 作者: 借喻 時間: 2025-4-1 02:07 作者: 遵循的規(guī)范 時間: 2025-4-1 08:26 作者: 個人長篇演說 時間: 2025-4-1 12:44
