KDH 2020 : International Workshop on Knowledge Discovery in Healthcare Data
KDH 2020 : International Workshop on Knowledge Discovery in Healthcare Data

KDH 2020 : International Workshop on Knowledge Discovery in Healthcare Data

Santiago de Compostela (Spain)
Event Date: June 09, 2020 - June 09, 2020
Submission Deadline: March 13, 2020
Notification of Acceptance: April 15, 2020
Camera Ready Version Due: May 15, 2020


The Knowledge Discovery in Healthcare Data (KDH) workshop series was established in 2016 to present AI research efforts to solve pressing problems in healthcare. The workshop series aims to bring together clinical and AI researchers to foster collaboration. This year, the workshop will be held in conjunction with ECAI 2020, in Santiago de Compostela, Spain.

The focus of the workshop is on learning healthcare systems. The notion of the learning healthcare system has been put forward to denote the translation of routinely collected data into knowledge that drives the continual improvement of medical care. This notion has been described in many forms, but each follows a similar cycle of assembling, analyzing and interpreting data from multiple sources (clinical records, guidelines, patient-provided data, sensor data, omics data), followed by feeding the acquired knowledge back into clinical practice. This framework aims to provide personalised recommendations and decision support tools to aid both patients and care providers, to improve outcomes and personalise care. Learning healthcare systems also help to extend the range of actions possible in response to patient monitoring data, for example, alerting patients or automatically adjusting insulin doses when blood glucose levels are predicted to go out of range.

A highlight of KDH 2020 will be the second Blood Glucose Level Prediction (BGLP) Challenge. The first BGLP Challenge was held as part of KDH 2018 at IJCAI-ECAI in Stockholm, Sweden. Blood glucose level prediction is a challenging task for AI researchers with the potential to improve the health and wellbeing of people with diabetes. In the BGLP Challenge, researchers will come together to compare the efficacy of different prediction approaches on a standard set of real patient data.

Call for Papers

Contributions are welcome in areas including, but not limited to, the following:

  • Knowledge discovery and data analytics

    • Predictive and prescriptive analyses of healthcare data
    • Detecting and extracting hidden information from healthcare data
    • Extracting causal relationships from healthcare data
    • Artificial neural network models or deep learning approaches for healthcare data analytics
    • Active, transfer and reinforcement learning in healthcare
    • Applications of probabilistic analysis in medicine
    • Physiological data analysis
    • Mathematical model development in biology and medicine, modeling of disease interaction and progression
    • Development of novel diagnostic and prognostic tests utilizing quantitative data analysis
    • Handling uncertainty in large healthcare datasets: dealing with missing values and non-uniformly sampled data
    • Novel visualization techniques
  • Data extraction, organization and assembly

    • Knowledge-driven and data-driven approaches for information retrieval and data mining
    • Multilevel data integration in healthcare, e.g. behavioral data, diagnoses, vitals, radiology imaging, doctor's notes, phenotype, and different omics data, including multi-agent approaches
    • Integration and use of medical ontologies
    • Knowledge abstraction, classification, and summarization from literature or electronic health records
    • Biomedical data generation and curation
  • Personalisation and decision support

    • Patient empowerment through personalised patient-centered systems
    • Clinical decision support systems
    • Applications of IoT (wearables, sensors) in healthcare
  • Blood glucose level prediction

    • System description papers detailing results of the BGLP Challenge
    • Scientific papers presenting new research in machine learning for blood glucose level prediction

Best Deals


KDH 2020 : International Workshop on Knowledge Discovery in Healthcare Data will take place in Santiago de Compostela (Spain). It’s a 1 day event starting on Jun 09, 2020 (Tuesday) and will be winded up on Jun 09, 2020 (Tuesday).

KDH 2020 falls under the following areas: ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, EHEALTH, DIGITAL HEALTH, etc. Submissions for this Workshop can be made by Mar 13, 2020. Authors can expect the result of submission by Apr 15, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before May 15, 2020 to the official website of the Workshop.

Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines.

Other Details of the KDH 2020

  • Short Name: KDH 2020
  • Full Name: International Workshop on Knowledge Discovery in Healthcare Data
  • Timing: 09:00 AM-06:00 PM (expected)
  • Fees: Check the official website of KDH 2020
  • Event Type: Workshop
  • Website Link:
  • Location/Address: Santiago de Compostela (Spain)

Credits and Sources

[1] KDH 2020 : International Workshop on Knowledge Discovery in Healthcare Data

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