检索结果-内蒙古大学图书馆

Transactions of Japanese Society for Medical and Biological Engineering 2011年第5期49卷 712-719页

作者： Arief, Zainal Sato, Tetsuo Okada, Tomohisa Kuhara, Shigehide Kanao, Shotaro Togashi, Kaori Minato, Kotaro Biomedical Imaging and Informatics Laboratory Graduate School of Information Science Nara Institute of Science and Technology Japan Kyoto University Graduate School of Medicine Japan Toshiba Medical System Corporation Japan

To suppress blurring due to cardiac movement, MRI data for the coronary arteries are generally acquired during the diastole rest period. In this research, a physician-specific model of cardiac rest period determination is proposed based on fuzzy classification system. The research aims to mimic and encapsulate the physician-specific decision in our model. From a test dataset, the cardiac rest period was determined based on normalized cross-correlation of consecutive frame images as well as normalized frame number as measured variables. The right coronary artery was used as a region of interest. The modeled physician's decision data determined the fuzzy set thresholds. The thresholds varied between subjects depending on the total number of frames following a linear function derived from the learning dataset. The distance difference of the results between the model and the modeled physician was analyzed, and shown to be significantly closer compared with the distance to other physicians with p

关键词： Fuzzy logic

来源：评论

学校读者我要写书评

暂无评论

Enhancing evidence-informed policymaking in medicine and healthcare: stakeholder involvement in the Commons Project for rare diseases in Japan

引用

Research Involvement and Engagement 2023年第1期9卷 1-21页

作者： Kogetsu, Atsushi Isono, Moeko Aikyo, Tatsuki Furuta, Junichi Goto, Dai Hamakawa, Nao Hide, Michihiro Hori, Risa Ikeda, Noriko Inoi, Keiko Kawagoe, Naomi Kubota, Tomoya Manabe, Shirou Matsumura, Yasushi Matsuyama, Koji Nakai, Tomoko Nakao, Ikuko Saito, Yuki Senoo, Midori Takahashi, Masanori P. Takeda, Toshihiro Takei, Megumi Tamai, Katsuto Tanaka, Akio Torashima, Yasuhiro Tsuchida, Yuya Yamasaki, Chisato Yamamoto, Beverley Anne Kato, Kazuto Department of Biomedical Ethics and Public Policy Graduate School of Medicine Osaka University Suita Japan School of Medicine Hiroshima University Hiroshima Japan Department of Medical Informatics and Management Institute of Medicine University of Tsukuba Ibaraki Tsukuba Japan Department of Stem Cell Therapy Science Graduate School of Medicine Osaka University Osaka Suita Japan Department of Dermatology Graduate School of Biomedical and Health Sciences Hiroshima University Hiroshima Japan Japanese Society of Tuberous Sclerosis Complex Family Net Committee Kanagawa Yokohama Japan Department of Dermatology Hiroshima Citizens Hospital Hiroshima Japan Commons Project Osaka University Osaka Suita Japan NPO Japan Marfan Association Mie Kuwana Japan MECP2 Duplication Syndrome Family Association Osaka Suita Japan Department of Clinical Laboratory and Biomedical Sciences Graduate School of Medicine Osaka University Osaka Suita Japan Department of Transformative System for Medical Information Graduate School of Medicine Osaka University Osaka Suita Japan Osaka National Hospital Osaka Japan Department of Medical Informatics Graduate School of Medicine Osaka University Osaka Suita Japan Japanese Huntington’s Disease Network (JHDN) Tokyo Japan Shirasagi-aiai-kai Hyogo Himeji Japan NPO Myotonic Dystrophy Patients’ Group of Japan (DM-Family) Tokyo Japan Department of Surgery Nagasaki University Graduate School of Biomedical Sciences Nagasaki Japan Center for Intractable Diseases and ImmunoGenomics (CiDIC) Health and Nutrition (NIBIOHN) National Institutes of Biomedical Innovation Osaka Ibaraki Japan HAEJ Non-Profit Patient Organization for Hereditary Angioedema in Japan Hyogo Kakogawa Japan HAEi Non-Profit International Patient Organization for Hereditary Angioedema Registered in the US Fairfax City VA United States Graduate School of Human Sciences Osaka University Osaka Suita Japan

Background: Although stakeholder involvement in policymaking is attracting attention in the fields of medicine and healthcare, a practical methodology has not yet been established. Rare-disease policy, specifically research priority setting for the allocation of limited research resources, is an area where evidence generation through stakeholder involvement is expected to be effective. We generated evidence for rare-disease policymaking through stakeholder involvement and explored effective collaboration among stakeholders. Methods: We constructed a space called ‘Evidence-generating Commons’, where patients, family members, researchers, and former policymakers can share their knowledge and experiences and engage in continual deliberations on evidence generation. Ten rare diseases were consequently represented. In the ‘Commons’, 25 consecutive workshops were held predominantly online, from 2019 to 2021. These workshops focused on (1) clarification of difficulties faced by rare-disease patients, (2) development and selection of criteria for priority setting, and (3) priority setting through the application of the criteria. For the first step, an on-site workshop using sticky notes was held. The data were analysed based on KJ method. For the second and third steps, workshops on specific themes were held to build consensus. The workshop agendas and methods were modified based on participants’ feedback. Results: The ‘Commons’ was established with 43 participants, resulting in positive effects such as capacity building, opportunities for interactions, mutual understanding, and empathy among the participants. The difficulties faced by patients with rare diseases were classified into 10 categories. Seven research topics were identified as priority issues to be addressed including ‘impediments to daily life’, ‘financial burden’, ‘anxiety’, and ‘burden of hospital visits’. This was performed by synthesising the results of the application of the two criteria that were particul

关键词： Evidence generation Evidence-based policymaking (EBPM) Evidence-informed policymaking (EIPM) Patient and public involvement (PPI) Patient involvement Priority setting Quality of life (QOL) Rare-disease policy Stakeholder involvement

来源：评论

学校读者我要写书评

暂无评论

Earlier Prediction of Influenza Epidemic by Hospital-based Data in Taiwan

Earlier Prediction of Influenza Epidemic by Hospital-based D...

引用

2017 2nd International Conference on Education, Management and Systems Engineering(EMSE 2017)

作者： Chia-liang FU Ray-jade CHEN Yu-sheng LO Graduate Institute of Biomedical Informatics College of Medical Science and TechnologyTaipei Medical University Department of Surgery School of Medicine College of Medicine Taipei Medical University

In Taiwan, a pandemic with human-transmissible influenza severely affected the allocation of acute care resources. Using hospitals' clinical data may offer a unique opportunity to predict of influenza epidemic. The aim of this study was to make a use of Taipei Medical University（TMU） clinical database, which can routinely collect clinical data from the three TMU affiliated hospitals, for early predicting of influenza epidemic. We first identified the influenza-related factors through literature validation. Then we extracted the outpatient medical records（2015.06 ~ 2016.10）, and through the Pearson correlation coefficient calculated the best combination of influenza detection factors. In addition, through the CUSUM control chart to establish influenza detection model. Finally, we compare the influenza surveillance model with the Taiwan Centers for Disease Control（TWCDC） to monitor the consistency of the model. During the study period, the optimal combination of influenza detection factors had the highest correlation with TWCDC ILI data and virologic surveillance data（r = 0.95086 and 0.87312, respectively;p, 0.0001）. The results showed that TMU EDMF and TWCDC epidemic information trends consistent. We automatically collect clinical data to ensure the timeliness of information and 1 to 2 weeks earlier than traditional monitoring methods.

关键词： Influenza ILI Clinical data Surveillance information system Electronic medical records

来源：评论

学校读者我要写书评

暂无评论

Conserved spatial subtypes and cellular neighborhoods of cancer-associated fibroblasts revealed by single-cell spatial multi-omics

引用

Cancer Cell 2025年第5期43卷 905-924.e6页

作者： Liu, Yunhe Sinjab, Ansam Min, Jimin Han, Guangchun Paradiso, Francesca Zhang, Yuanyuan Wang, Ruiping Pei, Guangsheng Dai, Yibo Liu, Yang Cho, Kyung Serk Dai, Enyu Basi, Akshay Burks, Jared K. Rajapakshe, Kimal I. Chu, Yanshuo Jiang, Jiahui Zhang, Daiwei Yan, Xinmiao Guerrero, Paola A. Serrano, Alejandra Li, Mingyao Hwang, Tae Hyun Futreal, Andrew Ajani, Jaffer A. Solis Soto, Luisa M. Jazaeri, Amir A. Kadara, Humam Maitra, Anirban Wang, Linghua Department of Genomic Medicine The University of Texas MD Anderson Cancer Center Houston 77030 TX United States Department of Translational Molecular Pathology The University of Texas MD Anderson Cancer Center Houston 77030 TX United States Sheikh Ahmed Center for Pancreatic Cancer Research The University of Texas MD Anderson Cancer Center Houston 77030 TX United States The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences (GSBS) Houston 77030 TX United States Department of Leukemia The University of Texas MD Anderson Cancer Center Houston 77030 TX United States Department of Biostatistics Epidemiology and Informatics Perelman School of Medicine University of Pennsylvania Philadelphia 19104 PA United States Department of Surgery Vanderbilt University Medical Center Nashville 37232 TN United States Department of Gastrointestinal Medical Oncology The University of Texas MD Anderson Cancer Center Houston 77030 TX United States Department of Gynecologic Oncology and Reproductive Medicine The University of Texas MD Anderson Cancer Center Houston 77030 TX United States The James P. Allison Institute The University of Texas MD Anderson Cancer Center Houston 77030 TX United States Institute for Data Science in Oncology The University of Texas MD Anderson Cancer Center Houston 77030 TX United States

Cancer-associated fibroblasts (CAFs) are a multifaceted cell population essential for shaping the tumor microenvironment (TME) and influencing therapy responses. Characterizing the spatial organization and interactions of CAFs within complex tissue environments provides critical insights into tumor biology and immunobiology. In this study, through integrative analyses of over 14 million cells from 10 cancer types across 7 spatial transcriptomics and proteomics platforms, we discover, validate, and characterize four distinct spatial CAF subtypes. These subtypes are conserved across cancer types and independent of spatial omics platforms. Notably, they exhibit distinct spatial organizational patterns, neighboring cell compositions, interaction networks, and transcriptomic profiles. Their abundance and composition vary across tissues, shaping TME characteristics, such as levels, distribution, and state composition of tumor-infiltrating immune cells, tumor immune phenotypes, and patient survival. This study enriches our understanding of CAF spatial heterogeneity in cancer and paves the way for novel approaches to target and modulate CAFs. © 2025 Elsevier Inc.

关键词： cancer-associated fibroblast cell-cell communication cellular neighborhood lymphoid aggregate pan-cancer spatial multi-omics spatial transcriptomics tertiary lymphoid structure tumor associated macrophage tumor microenvironment

来源：评论

学校读者我要写书评

暂无评论

Correction to: Droplet Hi-C enables scalable, single-cell profiling of chromatin architecture in heterogeneous tissues (Nature Biotechnology, (2024), 10.1038/s41587-024-02447-1)

引用

Nature Biotechnology 2025年

作者： Chang, Lei Xie, Yang Taylor, Brett Wang, Zhaoning Sun, Jiachen Armand, Ethan J. Mishra, Shreya Xu, Jie Tastemel, Melodi Lie, Audrey Gibbs, Zane A. Indralingam, Hannah S. Tan, Tuyet M. Bejar, Rafael Chen, Clark C. Furnari, Frank B. Hu, Ming Ren, Bing Department of Cellular and Molecular Medicine University of California San Diego La JollaCA United States Biomedical Sciences Graduate Program University of California San Diego La JollaCA United States Medical Scientist Training Program University of California San Diego La JollaCA United States Department of Quantitative Health Sciences Lerner Research Institute Cleveland Clinic Foundation ClevelandOH United States Systems Biology and Bioinformatics PhD Program Case Western Reserve University School of Medicine ClevelandOH United States Bioinformatics and Systems Biology Program University of California San Diego La JollaCA United States Moores Cancer Center UC San Diego La JollaCA United States Department of Neurosurgery University of Minnesota MinneapolisMN United States Department of Medicine University of California San Diego School of Medicine La JollaCA United States Center for Epigenomics Institute for Genomic Medicine School of Medicine University of California San Diego La JollaCA United States

Correction to: Nature Biotechnologyhttps://***/10.1038/s41587-024-02447-1, published online 18 October 2024. In the version of the article initially published, in the Methods section, both mentions of "MboII" should have read "MboI (NEB, R0147M)" and have now been corrected in the HTML and PDF versions of the article. © The Author(s) 2025.

关键词：

来源：评论

学校读者我要写书评

暂无评论

AS1411 aptamer-conjugated Gd2O3：Eu nanoparticles for target-specific computed tomography/magnetic resonance/fluorescence molecular imaging

引用

Nano Research 2014年第5期7卷 658-669页

作者： Tsungrong Kuo Weiyun Lai Chenghung Li Yanjhan Wun Huancheng Chang Jinnshiun Chen Panchyr Yang Chiachun Chen Department of Chemistry 'National Taiwan Normal University' Taipei 116 Taiwan China Institute of Atomic and Molecular Science 'Academia Sinica' Taipei 106 Taiwan China Molecular Medicine Program Taiwan International Graduate Program Institute of Biomedical Sciences 'Academia Sinica' Taipei 115 Taiwan China Institute of Biochemistry and Molecular Biology School of Life Sciences 'National Yang-Ming University' Taipei 112 Taiwan China Division of Colorectal Surgery Chang Gung Memorial Hospital Chang Gung University Taoyuan 333 Taiwan China College of Medicine 'National Taiwan University' Taipei 106 Taiwan China

Europium-doped gadolinium oxide （Gd2O3：Eu） nanoparticles have been synthesized, and then their surfaces have been conjugated with nucleolin- targeted AS1411 aptamer to form functionalized target-specific Gd2OB：EU nanoparticles （A-GdO：Eu nanoparticles）. The A-GdO：Eu nanoparticles present strong fluorescence in the visible range, high magnetic susceptibility, X-ray attenuation and good biocompatibility. The A-GdO：Eu nanoparticles have been applied to test molecular expression of nucleolin highly expressed CL1-5 lung cancer cells under a confocal microscope. Fluorescence imaging clearly reveals that the nanoparticles can be applied as fluorescent tags for cancer-targeting molecular imaging. Furthermore, taking together their excellent T1 contrast and strong computed tomography （CT） signal, the A-GdO：Eu nanoparticles demonstrate a great capability for use as a dual modality contrast agent for CT and magnetic resonance （MR） molecular imaging. Animal experiments also show that the A-GdO：Eu nanoparticles are able to contrast the tissues of BALB/c mice using CT modality. Moreover, the obvious red fluorescence of A-GdO：Eu nanoparticles can be visualized in a tumor by the naked eye. Overall, our results demonstrate that the A-GdO：Eu nanoparticles can not only serve as new medical contrast agents but also as intraoperative fluorescence imaging probes for guided surgery in the near future.

关键词： aptamer contrast agent Gd2O3 nanoparticles molecular imaging nanoparticles synthesis

来源：评论

学校读者我要写书评

暂无评论

High-normal and abnormal alanine transaminase levels linked to increased risk of hepatoma following treatment for chronic hepatitis C

引用

Journal of the Formosan Medical Association 2025年

作者： Chen, Yen-Chun Tsai, Pei-Chien Huang, Chung-Feng Chen, Chi-Yi Hung, Chao-Hung Chen, Chien-Hung Tai, Chi-Ming Cheng, Pin-Nan Kuo, Hsing Tao Mo, Lein-Ray Lo, Ching Chu Huang, Yi-Hsiang Lin, Han-Chieh Lee, Pei-Lun Bair, Ming-Jong Chang, Te-Sheng Lin, Chun-Yen Wang, Szu-Jen Hsieh, Tsai-Yuan Yang, Tzeng-Hue Peng, Cheng-Yuan Yang, Chi-Chieh Chong, Lee-Won Huang, Chien-Wei Lin, Chih-Wen Chu, Cheng-Hsin Tsai, Ming-Chang Kao, Jia-Horng Liu, Chun-Jen Chuang, Wan-Long Tseng, Kuo-Chih Yu, Ming-Lung Department of Internal Medicine Dalin Tzu Chi Hospital Buddhist Tzu Chi Medical Foundation Chiayi Taiwan School of Medicine Tzuchi University Hualien Taiwan Hepatobiliary Division Department of Internal Medicine and Hepatitis Center Kaohsiung Medical University Hospital Kaohsiung Medical University Kaohsiung Taiwan Division of Gastroenterology and Hepatology Department of Medicine Ditmanson Medical Foundation Chiayi Christian Hospital Taiwan Division of Hepatogastroenterology Department of Internal Medicine Chiayi Chang Gung Memorial Hospital and College of Medicine Chang Gung University Taoyuan Taiwan Division of Hepatogastroenterology Department of Internal Medicine Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine Taiwan Division of Gastroenterology and Hepatology Department of Internal Medicine E-Da Hospital I-Shou University Kaohsiung Taiwan School of Medicine for International Students College of Medicine I-Shou University Kaohsiung Taiwan Division of Gastroenterology and Hepatology Department of Internal Medicine National Cheng Kung University Hospital College of Medicine National Cheng Kung University Tainan Taiwan Division of Gastroenterology and Hepatology Department of Internal Medicine Chi Mei Medical Center Yongkang District Tainan 710 Taiwan Tainan Municipal Hospital Tainan Taiwan Division of Gastroenterology Department of Internal Medicine St. Martin De Porres Hospital Chiayi Taiwan Healthcare and Service Center Taipei Veterans General Hospital Division of Gastroenterology and Hepatology Department of Medicine Institute of Clinical Medicine College of Medicine National Yang Ming Chiao Tung University Taipei Taiwan Division of Gastroenterology and Hepatology Department of Medicine Taipei Veterans General Hospital Institute of Clinical Medicine School of Medicine National Yang Ming Chiao Tung University Taipei Taiwan Liouying Division of Gastroenterology and Hepatology Department of Internal Medicine

Background/purpose: The risk of hepatocellular carcinoma (HCC) is increased in patients with chronic hepatitis C (CHC) and elevated alanine transaminase (ALT) levels. The association between HCC and ALT levels after interferon (IFN) or direct-acting antivirals (DAA) therapy is unclear. Methods: Patients with CHC receiving antiviral therapy were included in two large-scale cohorts in Taiwan (T-COACH and TACR). Posttreatment ALT levels were assessed at 24-weeks/12-weeks after the end-of-treatment with IFN/DAA. HCC risk after antiviral therapy were identified for evaluation. Results: Of 29,926 CHC patients enrolled in the study, 64%, 22.5%, and 13.5% had posttreatment healthy-normal (female, ≤19 U/L;male ≤30 U/L), high-normal (female, 19–40 U/L;male, 30–40 U/L), and abnormal (>40 U/L) ALT levels, respectively. During a median follow-up of 2.4 years, 1245 patients developed HCC. The 5-year cumulative HCC incidence was 11.2% and 5.2% in the abnormal and high-normal ALT groups, respectively, compared to 2.7% in the healthy ALT group. In Cox regression analysis, factors associated with a higher HCC risk were advanced fibrosis, abnormal and high-normal posttreatment ALT levels, cirrhosis, and old age;whereas a sustained virological response (SVR) was associated with a lower HCC risk. The aforementioned impacts of abnormal and high-normal posttreatment ALT levels were observed across the SVR, non-SVR, and non-cirrhotic subgroups. Conclusion: Patients with CHC with high-normal and abnormal posttreatment ALT levels have an increased risk of HCC;thus, HCC surveillance is still necessary in this population. © 2025 Formosan Medical Association

关键词： Chronic hepatitis C Direct-acting antivirals Hepatocellular carcinoma Interferon

来源：评论

学校读者我要写书评

暂无评论

Lesion-symptom mapping with NIHSS sub-scores in ischemic stroke patients

引用

Stroke & Vascular Neurology 2022年第2期7卷 124-131页

作者： Deepthi Rajashekar Matthias Wilms M Ethan MacDonald Serena Schimert Michael D Hill Andrew Demchuk Mayank Goyal Sean P Dukelow Nils Daniel Forkert Biomedical Engineering Graduate Program Hotchkiss Brain InstituteUniversity of CalgaryCalgaryAlbertaCanada Department of Radiology Cumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada Hotchkiss Brain Institute University of CalgaryCalgaryAlbertaCanada Department of Clinical Neurosciences University of CalgaryCalgaryAlbertaCanada Department of Electrical and Computer Engineering University of CalgaryCalgaryAlbertaCanada Department of Community Health Sciences Cumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada Department of Medicine Cumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada Alberta Children's Hospital Research Institute University of CalgaryCalgaryABCanada

Background Lesion-symptom mapping(LSM)is a statistical technique to investigate the population-specific relationship between structural integrity and post-stroke clinical *** clinical practice,patients are commonly evaluated using the National institutes of Health Stroke Scale(NIHSS),an 11-domain clinical score to quantitate neurological deficits due to *** far,LSM studies have mostly used the total NIHSS score for analysis,which might not uncover subtle structure–function relationships associated with the specific sub-domains of the NIHSS ***,the aim of this work was to investigate the feasibility to perform LSM analyses with sub-score information to reveal category-specific structure–function relationships that a total score may not *** Employing a multivariate technique,LSM analyses were conducted using a sample of 180 patients with NIHSS assessment at 48-hour post-stroke from the ESCAPE *** NIHSS domains were grouped into six categories using two *** was conducted for each category of the two groupings and the total NIHSS *** Sub-score LSMs not only identify most of the brain regions that are identified as critical by the total NIHSS score but also reveal additional brain regions critical to each function category of the NIHSS assessment without requiring extensive,specialised *** These findings show that widely available sub-scores of clinical outcome assessments can be used to investigate more specific structure–function relationships,which may improve predictive modelling of stroke outcomes in the context of modern clinical stroke assessments and neuroimaging.

关键词： patients score category

来源：评论

学校读者我要写书评

暂无评论

TET proteins safeguard bivalent promoters from de novo methylation in human embryonic stem cells (vol 50, pg 83, 2017)

引用

NATURE GENETICS 2018年第5期50卷 764-764页

作者： Verma, Nipun Pan, Heng Dore, Louis C. Shukla, Abhijit Li, Qing V. Pelham-Webb, Bobbie Teijeiro, Virginia Gonzalez, Federico Krivtsov, Andrei Chang, Chan-Jung Papapetrou, Eirini P. He, Chuan Elemento, Olivier Huangfu, Danwei Developmental Biology Program Sloan Kettering Institute New York NY USA. Weill Graduate School of Medical Sciences at Cornell University/The Rockefeller University/Sloan Kettering Institute Tri-Institutional MD-PhD Program New York NY USA. Department of Physiology and Biophysics Englander Institute for Precision Medicine Institute for Computational Biomedicine Weill Cornell Medical College New York NY USA. Weill Cornell Graduate School of Medical Sciences Weill Cornell Medical College New York NY USA. Department of Chemistry Department of Biochemistry and Molecular Biology Institute for Biophysical Dynamics Howard Hughes Medical Institute University of Chicago Chicago IL USA. Louis V. Gerstner Jr. Graduate School of Biomedical Sciences Memorial Sloan Kettering Cancer Center New York NY USA. Institute for Bioengineering of Catalonia (IBEC) Barcelona Spain. Cancer Biology and Genetics Program Sloan Kettering Institute New York NY USA. Department of Oncological Sciences and Black Family Stem Cell Institute Icahn School of Medicine at Mount Sinai New York NY USA. Department of Physiology and Biophysics Englander Institute for Precision Medicine Institute for Computational Biomedicine Weill Cornell Medical College New York NY USA. ole2001@med.cornell.edu. Developmental Biology Program Sloan Kettering Institute New York NY USA. huangfud@***.

TET enzymes oxidize 5-methylcytosine (5mC) to 5-hydroxymethylcytosine (5hmC), which can lead to DNA demethylation. However, direct connections between TET-mediated DNA demethylation and transcriptional output are difficult to establish owing to challenges in distinguishing global versus locus-specific effects. Here we show that TET1, TET2 and TET3 triple-knockout (TKO) human embryonic stem cells (hESCs) exhibit prominent bivalent promoter hypermethylation without an overall corresponding decrease in gene expression in the undifferentiated state. Focusing on the bivalent PAX6 locus, we find that increased DNMT3B binding is associated with promoter hypermethylation, which precipitates a neural differentiation defect and failure of PAX6 induction during differentiation. dCas9-mediated locus-specific demethylation and global inactivation of DNMT3B in TKO hESCs partially reverses the hypermethylation at the PAX6 promoter and improves differentiation to neuroectoderm. Taking these findings together with further genome-wide methylation and TET1 and DNMT3B ChIP-seq analyses, we conclude that TET proteins safeguard bivalent promoters from de novo methylation to ensure robust lineage-specific transcription upon differentiation.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Using time-frequency features to recognize abnormal heart sounds

Using time-frequency features to recognize abnormal heart so...

引用

Computers in Cardiology (CinC)

作者： Hsuan-lin Her Hung-Wen Chiu School of Medicine Taipei Medical University Taipei Taiwan Graduate Institute of Biomedical Informatics Taipei Medical University Taipei Taiwan Taipei Taiwan

ISBN: (纸本)9781509008964

Disease of the heart accounts for 6% of all death. Heart sound is a routine in physical examination clinically, and is sensitive in detecting a subset of heart diseases. In the current study, we build up a model to classify heart sounds for preclinical screening. Heart sounds are recorded under uncontrolled environment, and each sample can range from 5 to 120 seconds. This is a work raised by annual PhysioNet/CinC Challenge. Because of timing and tonic natures of heart events, we used time-frequency features to classify heart sounds in this study. Firstly, each heard sound recording was segmented into cycles using Springer's improved version of Schmidt's method. Each cardiac cycle was cut into 10 partitions and data points were obtained by zero-padding in each partition. Spectral features were extracted from each partition using fast-Fourier Transform (FFT) thus a 3,500 feature matrix was created. Using filter method, 40 features were selected for the final classifier. The average feature matrix of each cycle was then applied to a classification system using 2-means clustering and artificial neural network (ANN). By clustering the unsure class was recognized. The discrimination of normal and abnormal heart sound were performed by a well-trained ANN model. The results showed that our proposed method got a performance with an accuracy 86.5%, a sensitivity 84.4%, a specificity 86.9%. Here we show that classifying abnormal heart sound is a really difficult task due to the heterogeneity of “abnormal events” and intra-sample deviation.

关键词： Heart Diseases Time-frequency analysis Hidden Markov models Artificial neural networks Feature extraction Sensitivity

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：