派博傳思國際中心

標題: Titlebook: Data Analytics for Traditional Chinese Medicine Research; Josiah Poon,Simon K. Poon Book 2014 Springer International Publishing Switzerlan [打印本頁]

作者: Johnson    時間: 2025-3-21 19:36
書目名稱Data Analytics for Traditional Chinese Medicine Research影響因子(影響力)




書目名稱Data Analytics for Traditional Chinese Medicine Research影響因子(影響力)學(xué)科排名




書目名稱Data Analytics for Traditional Chinese Medicine Research網(wǎng)絡(luò)公開度




書目名稱Data Analytics for Traditional Chinese Medicine Research網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Data Analytics for Traditional Chinese Medicine Research被引頻次




書目名稱Data Analytics for Traditional Chinese Medicine Research被引頻次學(xué)科排名




書目名稱Data Analytics for Traditional Chinese Medicine Research年度引用




書目名稱Data Analytics for Traditional Chinese Medicine Research年度引用學(xué)科排名




書目名稱Data Analytics for Traditional Chinese Medicine Research讀者反饋




書目名稱Data Analytics for Traditional Chinese Medicine Research讀者反饋學(xué)科排名





作者: GLUE    時間: 2025-3-21 23:14

作者: opalescence    時間: 2025-3-22 04:23

作者: 黃油沒有    時間: 2025-3-22 05:53

作者: MENT    時間: 2025-3-22 08:56
Artificial Neural Network Based Chinese Medicine Diagnosis in Decision Support Manner and Herbal Inanning, GuangXi, China and New York, United States of America. The ANN is able to learn the relationship between herbal ingredients and the set of information given (e.g. symptoms and illnesses). The ANN output is called the relevance index (RI), which conceptually associates two TCM entities.
作者: regale    時間: 2025-3-22 16:52

作者: regale    時間: 2025-3-22 17:23
An Innovative and Comprehensive Approach in Studying the Complex Synergistic Interactions Among Herhe effectiveness of the combined use of herbs, but of the variation of their relationship on each mode of action. We report one of the first applications of statistical interpretations of combination effects of herbs in complex herbal formulae and the feasibility of applying this methodology in combinatory study of herbs.
作者: 起草    時間: 2025-3-22 23:09
Book 2014Traditional Chinese Medicine (TCM) research. The book focuses on the study of clinical data and the analysis of herbal data. Challenges addressed include diagnosis, prescription analysis, ingredient discoveries, network based mechanism deciphering, pattern-activity relationships, and medical informa
作者: 落葉劑    時間: 2025-3-23 01:38
ers data mining researchers a new domain of study, an area wThis contributed volume explores how data mining, machine learning, and similar statistical techniques can analyze the types of problems arising from Traditional Chinese Medicine (TCM) research. The book focuses on the study of clinical dat
作者: 不愿    時間: 2025-3-23 07:16

作者: ANA    時間: 2025-3-23 13:44
Orthogonal Functions and Multipole Expansionulti-class, and multi-label techniques in machine learning field are proposed to meet the challenges. Here in this chapter, we will introduce our works on discriminative symptoms selection and multi-syndrome learning, which have improved the performance of state-of-arts works.
作者: 內(nèi)部    時間: 2025-3-23 14:42

作者: charisma    時間: 2025-3-23 18:43

作者: 下級    時間: 2025-3-24 00:32
https://doi.org/10.1007/978-3-658-06620-8cy. Using TCM formulae for treatment of female infertility as an example for IT contribution to data analysis, it is suggested that continuing feedback between practitioners in each field will help refining IT analysis of TCM informatics in general.
作者: 嫌惡    時間: 2025-3-24 04:25

作者: Cardiac    時間: 2025-3-24 07:54

作者: Munificent    時間: 2025-3-24 13:51

作者: Addictive    時間: 2025-3-24 15:25

作者: CRANK    時間: 2025-3-24 19:39

作者: FLAT    時間: 2025-3-25 01:48

作者: 紅腫    時間: 2025-3-25 06:22

作者: 打谷工具    時間: 2025-3-25 08:44
Statistical Validation of TCM Syndrome Postulates in the Context of Depressive Patients, YIN DEFICIENCY. A fundamental question is whether the syndrome factors have verifiable scientific contents in them or they are pure subjective notions. We investigate the issue in the context of depressive patients... In the past, researchers have tried to show that TCM syndrome factors correspond
作者: Postmenopause    時間: 2025-3-25 13:58
Artificial Neural Network Based Chinese Medicine Diagnosis in Decision Support Manner and Herbal Inted in parallel, and the ANN results are trustworthy, because they can be verified by TCM domain experts in real clinical environments in Hong Kong, Nanning, GuangXi, China and New York, United States of America. The ANN is able to learn the relationship between herbal ingredients and the set of inf
作者: 固執(zhí)點好    時間: 2025-3-25 16:33

作者: DNR215    時間: 2025-3-25 22:16
A New Methodology for Uncovering the Bioactive Fractions in Herbal Medicine Using the Approach of Qed synthetic mixture system. Two different types of data from the chromatographic fingerprint and related bioactivity capacities of the samples were correlated quantitatively. The method thus developed provided a model for predicting total bioactivity from the chromatographic fingerprints and featur
作者: 不吉祥的女人    時間: 2025-3-26 02:24

作者: 猛然一拉    時間: 2025-3-26 07:26

作者: blithe    時間: 2025-3-26 09:26
TCM Data Mining and Quality Evaluation with SAPHRONTM System,roblematic for how to make the best use of this treasure. A major concern of TCM modernization is the credibility of the information. A large number of these clinical records are scattered in various notes, books and research reports and there is absence of good tool to scientifically evaluate this
作者: gorgeous    時間: 2025-3-26 13:39

作者: HUMP    時間: 2025-3-26 19:51

作者: 讓步    時間: 2025-3-27 00:16

作者: BOON    時間: 2025-3-27 01:18
Orthogonal Functions and Multipole Expansionscriptions, lots of collected clinical symptoms, more than one syndrome attached to one clinical record and etc. Novel methods on feature selection, multi-class, and multi-label techniques in machine learning field are proposed to meet the challenges. Here in this chapter, we will introduce our work
作者: observatory    時間: 2025-3-27 06:31
Orthogonal Functions and Multipole Expansiontegy. The herbal ingredients, their corresponding protein targets, the biological processes its targets participate in, as well as the drug-target interactions and target-target interactions are necessary to understand the molecular mechanism of TCMs. Varieties of relevant databases have been set up
作者: 猛烈責罵    時間: 2025-3-27 13:18

作者: 暫時過來    時間: 2025-3-27 17:21
https://doi.org/10.1007/978-1-4612-0587-6 YIN DEFICIENCY. A fundamental question is whether the syndrome factors have verifiable scientific contents in them or they are pure subjective notions. We investigate the issue in the context of depressive patients... In the past, researchers have tried to show that TCM syndrome factors correspond
作者: Insubordinate    時間: 2025-3-27 19:15

作者: 懶鬼才會衰弱    時間: 2025-3-27 22:34
Radiation from an Infinite Wirehniques, especially by hyphenated chromatographies, to obtain chemical fingerprints which can represent appropriately the “chemical integrities” of the herbal medicines and therefore be used for authentication and identification of the herbal products. In order to extract useful information from fin
作者: Fecundity    時間: 2025-3-28 05:51
https://doi.org/10.1007/978-3-319-91809-9ed synthetic mixture system. Two different types of data from the chromatographic fingerprint and related bioactivity capacities of the samples were correlated quantitatively. The method thus developed provided a model for predicting total bioactivity from the chromatographic fingerprints and featur
作者: COMMA    時間: 2025-3-28 08:59

作者: mighty    時間: 2025-3-28 10:30
Giuseppe Cuzzucoli,Mario Garroned developed established theoretical knowledge and clinical solutions suitable for personalized treatment. Clinical phenotypes have been the most important features captured by TCM for diagnoses and treatment, which are diverse and dynamically changeable in real-world clinical settings. Together with
作者: Psychogenic    時間: 2025-3-28 15:02
?Hollywood“ ignorieren: Ein Selbstversuchroblematic for how to make the best use of this treasure. A major concern of TCM modernization is the credibility of the information. A large number of these clinical records are scattered in various notes, books and research reports and there is absence of good tool to scientifically evaluate this
作者: 假裝是我    時間: 2025-3-28 21:55
https://doi.org/10.1007/978-3-658-06620-8ighly advance of biomedicine, science-orientated development and information technology. It is emphasized that there is a need in using modified modalities that can focus on the inclusion of holistic TCM diagnosis and treatment outcomes of individual patients in randomized clinical trial for TCM pro
作者: 貧窮地活    時間: 2025-3-29 02:35

作者: 缺乏    時間: 2025-3-29 04:22
http://image.papertrans.cn/d/image/262709.jpg
作者: 時代    時間: 2025-3-29 07:35

作者: 大都市    時間: 2025-3-29 14:40
978-3-319-34629-8Springer International Publishing Switzerland 2014
作者: 名次后綴    時間: 2025-3-29 19:29
Causal Complexities of TCM Prescriptions: Understanding the Underlying Mechanisms of Herbal Formulaooked but can play a weak yet non-trivial role in enhancing the overall effectiveness of the TCM treatment. To achieve this goal, two computational solutions are proposed. An efficient set-theoretic approach is first proposed to study the effectiveness of herbal formulations, and followed by complex
作者: 擦試不掉    時間: 2025-3-29 20:14
Network Based Deciphering of the Mechanism of TCM,le, the value of the network-based integration of different data sources for TCM is exemplified by the study for clinically tested anti-AD herbs. Network-based integration of the various databases and ‘-omics’ data are discussed, which will not only facilitate the holistic understanding of the disea
作者: Boycott    時間: 2025-3-30 03:14
Statistical Validation of TCM Syndrome Postulates in the Context of Depressive Patients,nalysis in our investigation... TCM symptom data of 604 depressive patients were collected from nine hospitals from several regions of China in 2005–2006... Latent tree analysis of the data yielded a model with 29 latent variables. Many of them correspond to TCM syndrome factors... The results provi
作者: 壓倒    時間: 2025-3-30 07:14





歡迎光臨 派博傳思國際中心 (http://pjsxioz.cn/) Powered by Discuz! X3.5
乐陵市| 海南省| 青神县| 浦城县| 林芝县| 兴国县| 伊金霍洛旗| 当涂县| 鄂托克前旗| 南涧| 巍山| 三门县| 两当县| 贵州省| 咸丰县| 浮梁县| 华坪县| 醴陵市| 睢宁县| 华宁县| 海门市| 平度市| 新蔡县| 黔西| 利辛县| 得荣县| 温州市| 聂拉木县| 乐业县| 盐山县| 丰城市| 上思县| 平顺县| 孟津县| 申扎县| 桦川县| 泸溪县| 屯门区| 滦平县| 晋州市| 武清区|