%0 Conference Proceedings
%T Clustering Diagnostic Profiles of Patients
%+ Department of Computer Science [Aalto]
%+ Department of Computer and Systems Science [Stockholm]
%A Hollmén, Jaakko
%A Papapetrou, Panagiotis
%Z Part 4: Biomedical AI
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 15th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)
%C Hersonissos, Greece
%Y John MacIntyre
%Y Ilias Maglogiannis
%Y Lazaros Iliadis
%Y Elias Pimenidis
%I Springer International Publishing
%3 Artificial Intelligence Applications and Innovations
%V AICT-559
%P 120-126
%8 2019-05-24
%D 2019
%R 10.1007/978-3-030-19823-7_9
%K Medical records
%K Binary representations
%K Clustering
%Z Computer Science [cs]Conference papers
%X Electronic Health Records provide a wealth of information about the care of patients and can be used for checking the conformity of planned care, computing statistics of disease prevalence, or predicting diagnoses based on observed symptoms, for instance. In this paper, we explore and analyze the recorded diagnoses of patients in a hospital database in retrospect, in order to derive profiles of diagnoses in the patient database. We develop a data representation compatible with a clustering approach and present our clustering approach to perform the exploration. We use a k-means clustering model for identifying groups in our binary vector representation of diagnoses and present appropriate model selection techniques to select the number of clusters. Furthermore, we discuss possibilities for interpretation in terms of diagnosis probabilities, in the light of external variables and with the common diagnoses occurring together.
%G English
%Z TC 12
%Z WG 12.5
%2 https://inria.hal.science/hal-02331292/document
%2 https://inria.hal.science/hal-02331292/file/483292_1_En_9_Chapter.pdf
%L hal-02331292
%U https://inria.hal.science/hal-02331292
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC12
%~ IFIP-AIAI
%~ IFIP-WG12-5
%~ IFIP-AICT-559