Adding HL7 version 3 data types to PostgreSQL

Autor: Havinga, Yeb, Dijkstra, Willem, de Keijzer, Ander

The HL7 standard is widely used to exchange medical information electronically. As a part of the standard, HL7 defines scalar communication data types like physical quantity, point in time and concept descriptor but also complex types such as interva

Externí odkaz: http://arxiv.org/abs/1003.3370

Using Transfer Learning to Train a Binary Classifier for Lorrca Ektacytometery Microscopic Images of Sickle Cells and Healthy Red Blood Cells.

Autor: Butt, Marya, de Keijzer, Ander

Publikováno v: Data (2306-5729); Sep2022, Vol. 7 Issue 9, pN.PAG-N.PAG, 21p

Evidence combination for incremental decision-making processes

Autor: Berrada, Ghita, van Keulen, Maurice, de Keijzer, Ander

The establishment of a medical diagnosis is an incremental process highly fraught with uncertainty. At each step of this painstaking process, it may be beneficial to be able to quantify the uncertainty linked to the diagnosis and steadily update the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::08bd2298d99e55a397e2f1133da471c1
https://research.utwente.nl/en/publications/745a853d-95d2-4bbb-961d-9116387c58a9

Preface

Autor: de Keijzer, Ander, van Keulen, Maurice

Publikováno v: The Fifth International VLDB Workshop on Management of Uncertain Data (MUD), v-v
STARTPAGE=v;ENDPAGE=v;TITLE=The Fifth International VLDB Workshop on Management of Uncertain Data (MUD)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::9c8450fd12842b1a5d67b371a7dbd7d6
https://research.utwente.nl/en/publications/preface(05986507-bbbd-4fa8-8eee-c80169b4dfe2).html

Storing and Querying Probabilistic XML Using a Probabilistic Relational DBMS

Autor: Hollander, E.S., van Keulen, Maurice, de Keijzer, Ander

Publikováno v: The Fourth International VLDB Workshop on Management of Uncertain Data, 35-49
STARTPAGE=35;ENDPAGE=49;TITLE=The Fourth International VLDB Workshop on Management of Uncertain Data

This work explores the feasibility of storing and querying probabilistic XML in a probabilistic relational database. Our approach is to adapt known techniques for mapping XML to relational data such that the possible worlds are preserved. We show tha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::52348a34d630ba40bf72202b8027cecf
https://research.utwente.nl/en/publications/51d26ef7-df33-4ab1-9e57-dd7c8958672d