rGitcy / TCM-Data-Mining_papers

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Some recommended papers on TCM/DM

TCM:traditional Chinese medicine DM:data mining

Contributed by Ruijie Wu and Chunyang Ruan

Survey papers:

  1. Recent automatic text summarization techniques: a survey. Mahak Gambhir, Vishal Gupta.Paper
  2. A CULTURE IN THE BALANCE. Traditional Chinese medicine and Western science face almost irreconcilable differences. Can systems biology bring them together? Jane Qiu reports.
  3. Community challenges in biomedical text mining over 10 years: success, failure and the future. Chung-Chi Huang and Zhiyong Lu.Paper
  4. Global Healthcare: Advances and Challenges. METIN AKAY, TOSHIYO TAMURA.
  5. Text mining for traditional Chinese medical knowledge discovery: A survey. Xuezhong Zhou, Yonghong Peng, Baoyan Liu.Paper

Journal and Conference papers:

  1. HEMnet: Integration of Electronic Medical Records with Molecular Interaction Networks and Domain Knowledge for Survival. Edward W Huang, Sheng Wang, Bingxue Li, Ran Zhang, Baoyan Liu, Runshun Zhang, Jie Liu, Xuezhong Zhou, Hongsheng Lin, ChengXiang Zhai.Paper
  2. Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions. Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao.
  3. CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases. Xiang Ren, Zeqiu Wu, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Tarek F. Abdelzaher, Jiawei Han.
  4. CIDExtractor: a chemical-induced disease relation extraction system for biomedical literature. Zhiheng Li, Zhihao Yang, Hongfei Lin, Jian Wang, Yingyi Gui, Yin Zhang, Lei Wang.
  5. ThCLuster:Herb Supplements Categorization for Precision Traditional Chinese Medicine. Chuanyang Ruan, Ye Wang, Yuanchun Zhang, Jiangang Ma, Huijuan Chen, Uwe Aickelin,Shanfeng Zhu, Ting Zhang.Paper Data
  6. A Conditional Probabilistic Model for Joint Analysis of Symptoms, Diseases, and Herbs in Traditional Chinese Medicine Patient Records. Sheng Wang, Edward W Huang, Runshun Zhang, Xiaoping Zhang, Baoyan Liu, Xuezhong Zhou, and ChengXiang Zhai.
  7. A Hierarchical Symptom-Herb Topic Model for Analyzing Traditional Chinese Medicine Clinical Diabetic Data. Xiaoping Zhang, Xuezhong Zhou, Houkuan Huang, Shibo Chen, Baoyan Liu.
  8. A Hybrid Approach to Functional Dependency Discovery. Thorsten Papenbrock, Felix Naumann.Paper
  9. A Novel Approach for Classification of Chinese Herbal Medicines Using Diffusion Maps. Dehan Luo, Huiqin Chen, Hao Yu and Yunlong Sun.Paper
  10. Interactions between traditional Chinese medicine and western drugs in Taiwan: A population-based study. Kuan Chen Chen, Richard Lu, Usman Iqbal, Ko-Ching Hsu, Bi-Li Chen, Phung-Anh Nguyen, Hsuan-Chia Yang, Chih-Wei Huang, Yu-Chuan (Jack) Li, Wen-Shan Jiana, Shin-Han Tsai.Paper
  11. A Question-Answering System over Traditional Chinese Medicine. Xiangzhou Huang, Yin Zhang, Baogang Wei, Liang Yao.
  12. A Topic Modeling Approach for Traditional Chinese Medicine Prescriptions. Liang Yao, Yin Zhang, Baogang Wei, Wenjin Zhang, and Zhe Jin.
  13. Numerical Relation Extraction with Minimal Supervision. Aman Madaan, Ashish Mittal, Mausam, Ganesh Ramakrishnan, Sunita Sarawagi.Paper Code
  14. An Automated Technique to Construct a Knowledge Base of Traditional Chinese Herbal Medicine for Cancers: An Exploratory Study for Breast Cancer. Phung Anh Nguyen, Hsuan-Chia Yang, Rong Xu and Yu-Chuan (Jack) Li.Paper
  15. Sortal anaphora resolution to enhance relation extraction from biomedical literature. Halil Kilicoglu, Graciela Rosemblat, Marcelo Fiszman and Thomas C. Rindflesch.
  16. A neural joint model for entity and relation extraction from biomedical text. Fei Li, Meishan Zhang, Guohong Fu and Donghong Ji.Paper
  17. Assessing Drug Target Association Using Semantic Linked Data. Bin Chen, Ying Ding, David J. Wild.Paper
  18. Biological Entity Relationship Extraction Method Based on Multiple Kernel Learning. Dongliang Xu, lingchang Pan, Bailing Wang, Xinyi Zou.
  19. Biomedical Data Mining with Matrix Models. Fei Wang, Ping Zhang, Joel Dudley.Paper
  20. Causal Discovery Based on Healthcare Information. Jing Yang, Ning An, Gil Alterovitz , Lian Li, Aiguo Wang.
  21. China Brain Project: Basic Neuroscience, Brain Diseases, and Brain-Inspired Computing. Mu-ming Poo, Jiu-lin Du, Nancy Y. Ip, Zhi-Qi Xiong, Bo Xu, and Tieniu Tan.Paper
  22. Combining Chemical Profiling and Network Analysis to Investigate the Pharmacology of Complex Prescriptions in Traditional Chinese Medicine. Tongchuan Suo, Jinping Liu, Xi Chen, Hua Yu, Tenglong Wang, Congcong Li,Yuefei Wang, Chunhua Wang & Zheng Li.Paper
  23. Development of traditional Chinese medicine clinical data warehouse for medical knowledge discovery and decision support. Xuezhong Zhou, Shibo Chen, Baoyan Liu, Runsun Zhang, Yinghui Wang, Ping Li, Yufeng Guo, Hua Zhang, Zhuye Gao, Xiufeng Yan.Paper
  24. Drug–drug interaction extraction via hierarchical RNNs on sequence and shortest dependency paths. Yijia Zhang, Wei Zheng, Hongfei Lin, Jian Wang, Zhihao Yang and Michel Dumontier.Paper
  25. Discovery of Treatments from Text Corpora. Christian Fong, Justin Grimmer.
  26. Distributed Representation for Traditional Chinese Medicine Herb via Deep Learning Models. Wei Li, Zheng Yang.
  27. Drug discovery from Chinese medicine against neurodegeneration in Alzheimer’s and vascular dementia. Yuen-Shan Ho, Kwok-Fai So and Raymond Chuen-Chung Chang.Paper
  28. End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures. Makoto Miwa, Mohit Bansal.
  29. Enhancement of domain ontology construction using a crystallizing approach. Cho-Wei Shih, Ming-Yen Chen, Hui-Chuan Chu, Yuh-Min Chen.Paper
  30. Exploration on Generating Traditional Chinese Medicine Prescription from Symptoms with an End-to-End method. Wei Li, Zheng Yang, Xu Sun.Paper
  31. Exploring Traditional Chinese Medicine by A Novel Therapeutic Concept of Network Target. LI Shao.
  32. Extracting relations from traditional Chinese medicine literature via heterogeneous entity networks. Huaiyu Wan, Marie-Francine Moens, Walter Luyten, Xuezhong Zhou, Qiaozhu Mei, Lu Liu, Jie Tang.
  33. Hierarchical Latent Class Models and Statistical Foundation for Traditional Chinese Medicine. Nevin L. Zhang, Shihong Yuan, Tao Chen, and Yi Wang.
  34. How to Use TCM Informatics to Study Traditional Chinese Medicine in Big Data Age. Shi Cheng, Gong Qing-yue, Zhou Jinhai.
  35. Identification and classification of TCM syndrome types among patients with vascular mild cognitive impairment using latent tree analysis. Chen Fu, Nevin Lianwen Zhang, Bao Xin Chen, Zhou Rong Chen, Xiang Lan JIn, Rong Juan Guo, Zhi Gang Chen, Yun Ling Zhang.
  36. Latent semantic diagnosis in traditional chinese medicine. Wendi Ji, Ying Zhang, Xiaoling Wang, Yiping Zhou.Paper
  37. Latent semantic diagnosis in traditional chinese medicine. Wendi Ji, Ying Zhang, Xiaoling Wang, Yiping Zhou.Paper
  38. Lip Analysis in Traditional Chinese Medicine. Zhou Xiaofang, Li Xue, Hu Yangyang, Zhang Wenqiang, Li fufeng.
  39. PREDICTING MEDICATIONS FROM DIAGNOSTIC CODES WITH RECURRENT NEURAL NETWORKS. Jacek M. Bajor, Thomas A. Lasko.
  40. Modern bioinformatics meets traditional Chinese medicine. Peiqin Gu and Huajun Chen
  41. Multistage analysis method for detection of effective herb prescription from clinical data. Kuo Yang, Runshun Zhang, Liyun He, Yubing Li, Wenwen Liu1, Changhe Yu, Yanhong Zhang, Xinlong Li,Yan Liu, Weiming Xu, Xuezhong Zhou, Baoyan Liu.Paper
  42. NeMa: Fast Graph Search with Label Similarity. Arijit Khan, Yinghui Wu, Charu C. Aggarwal, Xifeng Yan.
  43. Neural Relation Extraction with Selective Attention over Instances. Yankai Lin, Shiqi Shen, Zhiyuan Liu, Huanbo Luan, Maosong Sun.
  44. Text mining for precision medicine:automating disease-mutation relationship extraction from biomedical literature. Ayush Singhal, Michael Simmons, Zhiyong Lu.
  45. Ontological Pathfinding: Mining First-Order Knowledge from Large Knowledge Bases. Yang Chen, Sean Goldberg, Daisy Zhe Wang, Soumitra Siddharth Johri.Paper
  46. Ontology Extraction for Knowledge Reuse:The e-Learning Perspective. Matteo Gaeta, Member, IEEE, Francesco Orciuoli, Stefano Paolozzi, and Saverio Salerno.Paper
  47. Optimal control of anti-HBV treatment based on combination of Traditional Chinese Medicine and Western Medicine. Yongmei Su, Deshun Sun.Paper
  48. A Machine learning Filter for Relation Extraction. Kevin Lange Di Cesare, Michel Gagnon, Amal Zouaq, Ludovic Jean-Louis.Paper
  49. PaReCat: Patient Record Subcategorization for Precision Traditional Chinese Medicine. Edward W Huang, Sheng Wang, Runshun Zhang, Baoyan Liu, Xuezhong Zhou, ChengXiang Zhai.Paper
  50. Potential and Pitfalls of Domain-Specific Information Extraction at Web Scale. Astrid Rheinländer, Mario Lehmann, Anja Kunkel, Jörg Meier, and Ulf Leser.Paper
  51. Random Walks on Adjacency Graphs for Mining Lexical Relations from Big Text Data. Shan Jiang, ChengXiang Zhai.
  52. Relation Classification via Convolutional Deep Neural Network. Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou and Jun Zhao.
  53. Relation Extraction from Traditional Chinese Medicine Journal Publication. Jingcheng Wang, Josiah Poon.
  54. NEW DRUG R&D OF TRADITIONAL CHINESE MEDICINE: ROLE OF DATA MINING APPROACHES. HONGJUN YANG, JIANXIN CHEN, SHIHUAN TANG, ZHENKUN LI, YISONG ZHEN, LUQI HUANG, and JIANQIANG YI.
  55. Schemaless and Structureless Graph Querying. Shengqi Yang, Yinghui Wu, Huan Sun, Xifeng Yan.
  56. Semantic Web for data harmonization in Chinese medicine. Kei-Hoi Cheung, Huajun Chen.Paper
  57. Shallow Information Extraction from Medical Forum Data . Parikshit Sondhi and Manish Gupta and ChengXiang Zhai and Julia Hockenmaier.
  58. SLQ: A User-friendly Graph Querying System. Shengqi Yang, Yanan Xie, Yinghui Wu, Tianyu Wu, Huan Sun, Jian Wu, Xifeng Yan.Paper
  59. Summarizing Answer Graphs Induced by Keyword Queries. Yinghui Wu, Shengqi Yang, Mudhakar Srivatsa, Arun Iyengar, Xifeng Yan.
  60. SympGraph: A Framework for Mining Clinical Notes through Symptom Relation Graphs. Parikshit Sondhi, Jimeng Sun, Hanghang Tong, ChengXiang Zhai.
  61. The center for causal discovery of biomedical knowledge from big data. Gregory F Cooper, Ivet Bahar, Michael J Becich, Panayiotis V Benos,Jeremy Berg, Jeremy U Espino, Clark Glymour, Rebecca Crowley Jacobson,Michelle Kienholz, Adrian V Lee, Xinghua Lu, Richard Scheines, and the Center for Causal Discovery team.
  62. The Syndromes of Lung Cancer and Compatibility of Medicine in Traditional Chinese Medicine Science Treatment Based on Clustering Algorithm. Miao Wang, MengyingWang, DongyiWang, ShiyuDuan, YishengWang, YanjunHuang, HuiliangShang.
  63. Topic Model for Chinese Medicine Diagnosis and Prescription Regularities Analysis: Case on Diabetes. ZHANG Xiao-ping, ZHOU Xue-zhong, HUANG Hou-kuan, FENG Qi. GHEN Shi-bo, and LIU Bao-yan.Paper
  64. Towards Extracting Drug-Effect Relation From Twitter: A Supervised Learning Approach. Fan Yu, Melody Moh, Teng-Sheng Moh.Paper
  65. Traditional Chinese Medicine Formula Evaluation Using Multi-instance Multi-label Framework . Yongchun LI, Hong LI, Qian WANG, Chongjun WANG and Xinsheng FAN.
  66. Unsupervised Person Slot Filling based on Graph Mining. Dian Yu, Heng Ji.
  67. Drug-Induced Liver Injury. Gebran Abboud, Neil Kaplowitz.Paper
  68. A specialized flavone biosynthetic pathway has evolved in the medicinal plant, Scutellaria baicalensis. Qing Zhao, Yang Zhang, Gang Wang, Lionel Hill, Jing-Ke Weng, Xiao-Ya Chen, Hongwei Xue, Cathie Martin.Paper
  69. The Creation and Interpretation of an Elemental Database for Chinese Traditional Herbal Remedies. Hongli Wu.
  70. Relationship Between Daily Dose of Oral Medications and Idiosyncratic Drug-Induced Liver Injury: Search for Signals. Craig Lammert, Stefan Einarsson, Chandan Saha, Anna Niklasson, Einar Bjornsson, and Naga Chalasani
  71. Content to Node: Self-Translation Network Embedding.Jie Liu, Zhicheng He, Lai Wei, Yalou Huang Paper
  72. Data processing and analysis in real-world traditional Chinese medicine clinical data: Challenges and approaches.Baoyan Liu, Xuezhong Zhou, Yinhui Wang, Jingqing Hu, Liyun He, Runshun Zhang, Shibo Chen and Yufeng Guo Paper
  73. A guide to deep learning in healthcare.Andre Esteva, Alexandre Robicquet, Bharath Ramsundar, Volodymyr Kuleshov, Mark DePristo, Katherine Chou, Claire Cui, Greg Corrado, Sebastian Thrun and Jeff Dean

About

License:GNU General Public License v3.0