標(biāo)題: Titlebook: Machine Learning for Health Informatics; State-of-the-Art and Andreas Holzinger Book 2016 Springer International Publishing AG 2016 algorit [打印本頁] 作者: 鳴叫大步走 時(shí)間: 2025-3-21 16:05
書目名稱Machine Learning for Health Informatics影響因子(影響力)
書目名稱Machine Learning for Health Informatics影響因子(影響力)學(xué)科排名
書目名稱Machine Learning for Health Informatics網(wǎng)絡(luò)公開度
書目名稱Machine Learning for Health Informatics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Machine Learning for Health Informatics被引頻次
書目名稱Machine Learning for Health Informatics被引頻次學(xué)科排名
書目名稱Machine Learning for Health Informatics年度引用
書目名稱Machine Learning for Health Informatics年度引用學(xué)科排名
書目名稱Machine Learning for Health Informatics讀者反饋
書目名稱Machine Learning for Health Informatics讀者反饋學(xué)科排名
作者: Inelasticity 時(shí)間: 2025-3-21 22:19 作者: cajole 時(shí)間: 2025-3-22 01:46
https://doi.org/10.1007/978-3-319-50478-0algorithms; artificial intelligence; big data; classification; data mining; data science; decision support作者: 容易懂得 時(shí)間: 2025-3-22 04:40
Andreas HolzingerHot topics in machine learning for health informatics.State-of-the-art survey and output of the international HCI-KDD expert network.Discusses open problems and future challenges in order to stimulate作者: arrogant 時(shí)間: 2025-3-22 11:17 作者: 平息 時(shí)間: 2025-3-22 14:32
0302-9743 es open problems and future challenges in order to stimulate.Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutic作者: 分貝 時(shí)間: 2025-3-22 17:10
Book 2016roviding future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization.. Tackling complex chal作者: 內(nèi)向者 時(shí)間: 2025-3-22 22:56
Grammars for Discrete Dynamics,ntinuous methods cannot be applied or are computationally prohibitive. Moreover, the computational universality of MP grammars of a very simple type is shown, and one of the most relevant cases of MP biological models is shortly presented.作者: 男學(xué)院 時(shí)間: 2025-3-23 03:18 作者: 粉筆 時(shí)間: 2025-3-23 07:31 作者: Presbycusis 時(shí)間: 2025-3-24 05:29 作者: AND 時(shí)間: 2025-3-24 08:27 作者: IDEAS 時(shí)間: 2025-3-24 13:20
Vincenzo Mancaahrtspezifische Themenbereiche wie Luftfahrtgeschichte oder Letter-Codes für Flugh?fen...Zur vertiefenden Recherche sind Verweise auf das Internet sowie empfehlenswerte Literatur angegeben. Ebenso wurden englischsprachige Begriffe aufgenommen..978-3-540-49096-8作者: 沒有貧窮 時(shí)間: 2025-3-24 14:55
Machine Learning for Health Informatics,ed effort of four areas: (1)?data science, (2)?algorithms (with focus on networks and topology (structure), and entropy (time), (3)?data visualization, and last but not least (4)?privacy, data protection, safety & security.作者: 沒有希望 時(shí)間: 2025-3-24 20:46
Bagging Soft Decision Trees,ession data sets, we show that the bagged soft trees generalize better than single soft trees and bagged hard trees. This contribution falls in the scope of research track 2 listed in the editorial, namely, machine learning algorithms.作者: chuckle 時(shí)間: 2025-3-25 00:54
Empowering Bridging Term Discovery for Cross-Domain Literature Mining in the TextFlows Platform,f exploring new cross-context bridging terms. We have extended the TextFlows platform with several components, which—together with document exploration and visualization features of the CrossBee human-computer interface—make it a powerful, user-friendly text analysis tool for exploratory cross-domai作者: 油氈 時(shí)間: 2025-3-25 06:53
Visualisation of Integrated Patient-Centric Data as Pathways: Enhancing Electronic Medical Records tarts by presenting the state-of-the-art in visualisation of clinical and other health related data. Then, it describes an example clinical problem and discusses the visualisation tools and techniques created for the utilisation of these data by clinicians and researchers. Finally, we look at the op作者: FADE 時(shí)間: 2025-3-25 10:18
Deep Learning Trends for Focal Brain Pathology Segmentation in MRI,is chapter, we provide a survey of CNN methods applied to medical imaging with a focus on brain pathology segmentation. In particular, we discuss their characteristic peculiarities and their specific configuration and adjustments that are best suited to segment medical images. We also underline the 作者: Insul島 時(shí)間: 2025-3-25 13:16 作者: Conduit 時(shí)間: 2025-3-25 17:41 作者: CHOKE 時(shí)間: 2025-3-25 20:04 作者: 致敬 時(shí)間: 2025-3-26 02:24 作者: Heterodoxy 時(shí)間: 2025-3-26 07:42 作者: Latency 時(shí)間: 2025-3-26 11:37 作者: Osteons 時(shí)間: 2025-3-26 12:55
Knowledge Discovery in Clinical Data,g terms where the interactions were captured by their co-occurrences in the documents. A greedy algorithm was used to find communities with high modularity. Finally, we compared our method with probabilistic topic modeling algorithms and evaluated the efficacy of our method by using recall and preci作者: prediabetes 時(shí)間: 2025-3-26 18:29
,Convolutional Neural Networks Applied for Parkinson’s Disease Identification, In this work, we are interested into aiding physicians in such task by means of machine learning techniques, which can learn proper information from digitized versions of the exams, and them recommending a probability of a given individual being affected by PD depending on its handwritten skills. P作者: 品嘗你的人 時(shí)間: 2025-3-26 21:12 作者: wangle 時(shí)間: 2025-3-27 01:39
0302-9743 hot topics in machine learning for health informatics; they discuss open problems and future challenges in order to stimulate further research and international progress in this field..978-3-319-50477-3978-3-319-50478-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 嬉耍 時(shí)間: 2025-3-27 06:33
Matic Perov?ek,Matja? Jur?i?,Bojan Cestnik,Nada Lavra?作者: 放逐某人 時(shí)間: 2025-3-27 10:06
Joao H. Bettencourt-Silva,Gurdeep S. Mannu,Beatriz de la Iglesia作者: 怕失去錢 時(shí)間: 2025-3-27 14:15 作者: 無可爭(zhēng)辯 時(shí)間: 2025-3-27 20:37
Dragana Miljkovic,Darko Aleksovski,Vid Podpe?an,Nada Lavra?,Bernd Malle,Andreas Holzinger作者: RACE 時(shí)間: 2025-3-27 22:24 作者: 鞭打 時(shí)間: 2025-3-28 04:56 作者: Abjure 時(shí)間: 2025-3-28 09:02
Sebastian Robert,Sebastian Büttner,Carsten R?cker,Andreas Holzinger作者: glacial 時(shí)間: 2025-3-28 14:12
Clayton R. Pereira,Danillo R. Pereira,Joao P. Papa,Gustavo H. Rosa,Xin-She Yang作者: 不可比擬 時(shí)間: 2025-3-28 15:13 作者: 使絕緣 時(shí)間: 2025-3-28 21:12 作者: stroke 時(shí)間: 2025-3-29 00:05
Olcay Taner Y?ld?z,Ozan ?rsoy,Ethem Alpayd?nleitbuch für Studium oder Ausbildung.Includes supplementary .Das vorliegende Buch ist ein zuverl?ssiges Kompendium für alle, die sich mit dem Flugzeugbau, der Fliegerei und den angrenzenden Bereichen der Luftfahrt aus technischer, organisatorischer, kommerzieller oder historischer Sicht besch?ftigen作者: 鐵塔等 時(shí)間: 2025-3-29 03:54
Vincenzo Mancaleitbuch für Studium oder Ausbildung.Includes supplementary .Das vorliegende Buch ist ein zuverl?ssiges Kompendium für alle, die sich mit dem Flugzeugbau, der Fliegerei und den angrenzenden Bereichen der Luftfahrt aus technischer, organisatorischer, kommerzieller oder historischer Sicht besch?ftigen作者: labile 時(shí)間: 2025-3-29 08:05 作者: HAVOC 時(shí)間: 2025-3-29 14:48
Bagging Soft Decision Trees,s model, internal binary nodes take soft decisions and choose both children with probabilities given by a sigmoid gating function. Hence for an input, all the paths to all the leaves are traversed and all those leaves contribute to the final decision but with different probabilities, as given by the作者: 憤世嫉俗者 時(shí)間: 2025-3-29 16:16 作者: infatuation 時(shí)間: 2025-3-29 22:21 作者: CIS 時(shí)間: 2025-3-30 03:56 作者: scrape 時(shí)間: 2025-3-30 04:34 作者: Insatiable 時(shí)間: 2025-3-30 08:46 作者: frivolous 時(shí)間: 2025-3-30 15:00
Survey on Feature Extraction and Applications of Biosignals,aningful features from biosignals can help people understand the human functional state, so that upcoming harmful symptoms or diseases can be alleviated or avoided. There are two main approaches commonly used to derive useful features from biosignals, which are hand-engineering and deep learning. Th作者: Vulnerable 時(shí)間: 2025-3-30 18:14
Argumentation for Knowledge Representation, Conflict Resolution, Defeasible Inference and Its Integearn from data. Defeasible argumentation has emerged as sub-topic of artificial intelligence aimed at formalising common-sense qualitative reasoning. The former is an inductive approach for inference while the latter is deductive, each one having advantages and limitations. A great challenge for the作者: CLASH 時(shí)間: 2025-3-30 22:33 作者: inspired 時(shí)間: 2025-3-31 03:18 作者: 波動(dòng) 時(shí)間: 2025-3-31 08:06 作者: BARK 時(shí)間: 2025-3-31 12:38
A Master Pipeline for Discovery and Validation of Biomarkers, the individual and the population. Much of the difficulty is the poor reproducibility of existing approaches as well as the complexity of the problem. Machine learning tools with rigorous statistical inference properties have great potential to move this area forward. In this chapter, we review exi作者: 助記 時(shí)間: 2025-3-31 16:44 作者: Paleontology 時(shí)間: 2025-3-31 20:31 作者: COMA 時(shí)間: 2025-4-1 01:07 作者: 青春期 時(shí)間: 2025-4-1 02:44
Knowledge Discovery in Clinical Data,uding patient demographic data, diagnosis, therapeutic approach, and patient outcomes. It is important to analyze patterns within these records in order to more effectively treat individuals. In this paper, a method is presented for identifying these themes and patterns within patient data. This met作者: transient-pain 時(shí)間: 2025-4-1 07:56 作者: Audiometry 時(shí)間: 2025-4-1 11:18
,Convolutional Neural Networks Applied for Parkinson’s Disease Identification,ntify someone affected by PD when the illness shows itself (e.g. tremors, slowness of movement and freezing-of-gait), most works have focused on studying the working mechanism of the disease in its very early stages. In such cases, drugs can be administered in order to increase the quality of life o作者: 驚奇 時(shí)間: 2025-4-1 17:09 作者: 可互換 時(shí)間: 2025-4-1 18:44
A. Hussain,M. Chetouani,S. Squartini,A. Bastari,F. Piazzaof exciting, amusing, and sometimes personal stories from the history of cryptology, it will also interest general readers. Decrypted Secrets has become a standard book on cryptology. This 4th edition has again been revised and extended in many technical and biographical details...978-3-642-06383-1978-3-540-48121-8作者: 錯(cuò) 時(shí)間: 2025-4-2 02:41 作者: 廚房里面 時(shí)間: 2025-4-2 06:46 作者: Spinal-Tap 時(shí)間: 2025-4-2 07:32 作者: hair-bulb 時(shí)間: 2025-4-2 14:30 作者: FUSE 時(shí)間: 2025-4-2 16:26
