Development of Human Face Literature Database Using Text Mining Approach: Phase I

被引:4
|
作者
Kaur, Paramjit [1 ]
Krishan, Kewal [2 ]
Sharma, Suresh K. [1 ]
机构
[1] Panjab Univ, Ctr Syst Biol & Bioinformat, Chandigarh, India
[2] Panjab Univ, Dept Anthropol, Sect 14, Chandigarh 160014, India
关键词
Artificial intelligence; bioinformatics; CSS; human face database; MySQL; PHP; RDBMS; XAMPP; TOOL; RECOGNITION;
D O I
10.1097/SCS.0000000000004583
中图分类号
R61 [外科手术学];
学科分类号
摘要
The face is an important part of the human body by which an individual communicates in the society. Its importance can be highlighted by the fact that a person deprived of face cannot sustain in the living world. The amount of experiments being performed and the number of research papers being published under the domain of human face have surged in the past few decades. Several scientific disciplines, which are conducting research on human face include: Medical Science, Anthropology, Information Technology (Biometrics, Robotics, and Artificial Intelligence, etc.), Psychology, Forensic Science, Neuroscience, etc. This alarms the need of collecting and managing the data concerning human face so that the public and free access of it can be provided to the scientific community. This can be attained by developing databases and tools on human face using bioinformatics approach. The current research emphasizes on creating a database concerning literature data of human face. The database can be accessed on the basis of specific keywords, journal name, date of publication, author's name, etc. The collected research papers will be stored in the form of a database. Hence, the database will be beneficial to the research community as the comprehensive information dedicated to the human face could be found at one place. The information related to facial morphologic features, facial disorders, facial asymmetry, facial abnormalities, and many other parameters can be extracted from this database. The front end has been developed using Hyper Text Mark-up Language and Cascading Style Sheets. The back end has been developed using hypertext preprocessor (PHP). The JAVA Script has used as scripting language. MySQL (Structured Query Language) is used for database development as it is most widely used Relational Database Management System. XAMPP (X (cross platform), Apache, MySQL, PHP, Perl) open source web application software has been used as the server. The database is still under the developmental phase and discusses the initial steps of its creation. The current paper throws light on the work done till date.
引用
收藏
页码:966 / 969
页数:4
相关论文
共 50 条
  • [41] Global scientific literature on human resource development: a bibliometric analysis using Scopus database
    Pham-Duc, Binh
    Tran, Trung
    Huu Hoang, Dung
    Bao Do, Chau
    EUROPEAN JOURNAL OF TRAINING AND DEVELOPMENT, 2023, 47 (7/8) : 846 - 861
  • [42] EXPLORATION OF TEXT MINING AND LEXICAL ANALYSIS USING A NOVEL APPROACH
    Luthra, Snigdha
    Goel, Vinay
    Kumar, Raj
    PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICCS), 2019, : 187 - 192
  • [43] Probiotic Formulations: A Patent Landscaping Using the Text Mining Approach
    Swayamprakash Patel
    Mruduka S. Patel
    Ashish D. Patel
    Umang H. Shah
    Mehul M. Patel
    Nilay D. Solanki
    Meet J. Patel
    Current Microbiology, 2022, 79
  • [44] Building a glaucoma interaction network using a text mining approach
    Maha Soliman
    Olfa Nasraoui
    Nigel G. F. Cooper
    BioData Mining, 9
  • [45] Using personal writings to detect dementia: A text mining approach
    Asllani, Beni
    Mullen, Deborah M.
    HEALTH INFORMATICS JOURNAL, 2023, 29 (04)
  • [46] Probiotic Formulations: A Patent Landscaping Using the Text Mining Approach
    Patel, Swayamprakash
    Patel, Mruduka S.
    Patel, Ashish D.
    Shah, Umang H.
    Patel, Mehul M.
    Solanki, Nilay D.
    Patel, Meet J.
    CURRENT MICROBIOLOGY, 2022, 79 (05)
  • [47] Building a glaucoma interaction network using a text mining approach
    Soliman, Maha
    Nasraoui, Olfa
    Cooper, Nigel G. F.
    BIODATA MINING, 2016, 9
  • [48] A TEXT MINING APPROACH TO CAPTURE USER EXPERIENCE FOR NEW PRODUCT DEVELOPMENT
    Lin, Kuo-Yi
    INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, 2018, 25 (01): : 108 - 121
  • [49] Scientific Literature Information Extraction Using Text Mining Techniques for Human Health Risk Assessment of Electromagnetic Fields
    Lee, Sang-Woo
    Kwon, Jung-Hyok
    Lee, Ben
    Kim, Eui-Jik
    SENSORS AND MATERIALS, 2020, 32 (01) : 149 - 157
  • [50] Construction of an integrated human osteosarcoma database, HOsDb, based on literature mining, microarray analysis, and database retrieval
    Sun, Yifu
    Wang, Lishan
    Li, Changkuan
    Gu, Rui
    Zang, Weidong
    Song, Wei
    Xia, Peng
    BMC CANCER, 2020, 20 (01)