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The 18th International Conference on Data and Text Mining in Biomedical Informatics (DTMBIO)

December 16-19, 2024


DTMBIO organizers are pleased to announce that the 18th DTMBIO will be held. The main focus of DTMBIO is on biomedical and health informatics.

DTMBIO delegates will bring forth interesting applications of up-to-date informatics in the context of biomedical research.

This year, we are particularly interested in techniques and applications of Big Data Analytics to biomedical and clinical research problems.


Biological researchers face the current challenge of making effective use of the enormous amount of electronic biomedical data

in order to better understand and explain complex biological systems. The biomedical data repositories include data in a wide variety of forms,

including bibliographic information from electronic medical journals, gene expression data from microarray experiments, protein identification and

quantification data from proteomics experiments, genomic sequences gathered by massively parallel sequencing, and patient healthcare records.

The ability to automatically and effectively extract, integrate, understand and make use of information

embedded in such heterogeneous – structured and unstructured – data remains a challenging task.


We invite the submission of papers that propose ways to address the variety of aspects involved in meeting this challenge.

The relevant topics include the following (but not limited to):


  • Biomedical and clinical text mining applications
  • Big bio- or clinical-data analytics
  • Integration of structured and unstructured resources for biomedical applications
  • Information extraction from biomedical and clinical corpora (published literature, grey literature, EHRs, clinical trials, etc.)
  • Information retrieval from large biomedical data collections
  • Gene sequence annotation
  • Protein/RNA structure prediction
  • Medical ontologies and text mining
  • Entity or concept recognition in text with ontologies
  • Sequence and structural motifs
  • Modelling of biochemical pathways and biological networks
  • Image mining in medical and healthcare informatics
  • Data and text mining solutions in biomedical informatics, for applications such as drug development, system biology, biomedical working processes
  • Information integration for data and text mining
  • Mining multi-relational data
  • Proposal and assessment of novel text Mining (TM) evaluation strategies
  • Evaluation methods of biomedical applications, shared tasks

 

[Venue]

  • Queen Sirikit National Convention Center (QSNCC)
    (Address: 60 Ratchadaphisek Rd, Khlong Toei, Bangkok 10110, Thailand )
  • Website
    https://www.qsncc.com/en

[Access to the Venue]

 Located on New Rachadapisek Road in central Bangkok, Queen Sirikit National Convention Center is conveniently accessible by BTS Skytrain, MRT Subway, 

 taxi, bus and car.


 The metro is the most convenient, cost-effective, and low-carbon way of getting to QSNCC. The venue is linked to the MRT Blue Line at Queen Sirikit National   Convention Center station. (Exit 3) The station has a direct connection to the exhibition hall, providing visitors to QSNCC with seamless connectivity.


  • MRT: MRT Queen Sirikit National Convention Center station is right in front of the Center, reached by following Exit 3.
  • BTS: Take the BTS Skytrain to Asok interchange station, where you catch the subway to MRT Queen Sirikit National Convention Center station. Follow Exit 3 to the Center.
  • BUS: The public bus routes 136 and 185 stop right in front of QSNCC. The main entrance is within a short walk from the bus stop.
  • PARKING: QSNCC provides indoor parking for up to 3,000 vehicles from 5.00 to 24.00. (Parking validation is available from 07.00 -21.00 hrs. at any information counter.)

 For more information, please visit the following website: https://www.qsncc.com/en/visit/how-to-get-here

[Directions From Airports]

  • TAXI: Suvarnabhumi Airport and Don Mueang Airport are 45 minutes and 30 minutes drive, respectively, to QSNCC.
  • Suvarnabhumi International Airport
    The Airport Rail Link connects Suvarnabhumi Airport to the Makkasan Station - which adjoins Phetchaburi MRT Station. From here, QSNCC is about five minutes train ride.
  • Don Muang International Airport

    SRT Dark Red Line’s Don Muang Station connects Don Mueang International Airport to Bang Sue Grand Station. Visitors can take the MRT Blue Line from Bang Sue MRT Station to QSNCC.

[Accommodation]

The accommodations below are all located within 1.3km distance from QSNCC.

Click on a hotel website link to be connected with the hotel's website and contact the hotel directly for room availability and quotes.