The 6th international workshop on 

The Knowledge Discovery in Healthcare Data (KDH) workshop series was established in 2016 to present AI research efforts to solve pressing problems in healthcare. Since, the successful series continued in 2017, 2018, 2019 and 2020 to bring together clinical and AI researchers to foster collaboration. This year, the workshop will be held in Macao, in conjunction with IJCAI 2023.

In alignment with this year IJCAI's theme of AI for Good, the focus of the workshop is on robust, flexible, generlisable, explainable and ethical applications of AI in medicine. The aim is to translate routinely collected clinical data into knowledge that drives the continual improvement of medical care and trustable applications that can improve the efficiency and productivity of healthcare professionals. The grand aim requires 1) the extraction, organisation and assembly of large amounts structured and free-text data embedded with electronic patient records,  2) the design of knowledge discovery and decision support tools that capitalise on the abundance of medical knowledge and guidelines in addition to the the large, temporal and uncertainty-ridden healthcare data and 3) the design of trustworthy models that are robust, and capable of reasoning about data biases and existing guidelines and workflows. Such requirements will lead to the ability to provide personalised recommendations and decision support tools to aid both patients and care providers, to improve outcomes and provide personalise care. Our scope extends to the range of applications initiating response to patient monitoring, for example, the prediction of cardiac arrest from sparse hospital wards data, and alerting patients or automatically adjusting insulin doses when blood glucose levels are predicted to go out of range.

Proceedings

Proceedings will be published via CEUR onlie proceedings and indexed by DBLP. The committee is currently setting up dissemination routes for a journal special issue. Confirmation of a special issue will be determined by the number and quality of the workshop submissions. 

 Organisation