Project

Multimodal physiological time-series analysis for outcome prediction in the intensive care unit (ICU)

Publisher

Supervisor

Location

Greater Copenhagen area

The most critically ill patients in our health care system are treated in the intensive care unit (ICU). Here, monitoring devises gather a wide range of physiological information every second, which together with clinical, administrative and laboratory information makes the ICU the most data intensive ward at any hospital.

This data serves to guide the ICU professionals in decision making, however the high volume of data makes it difficult to comprehend and transform into decisions that fully reflect the depth of information present.

Aim: The patient complexity and disease severity together with the massive amount of data represent an opportunity to use Machine Learning techniques to develop data-driven tools for disease prognosis and electronic decision support.

Method: The current project will focus on the application of advanced signal processing techniques for analyzing the multimodal physiological time-series from approximately 3500 patients admitted to the Capital Region ICU between 2009 and 2016. Based on the extracted features, a dynamic (neural network) model will be built for outcome prediction and the predictive potential of each feature will be evaluated.

The project will take place as a collaborative effort between the master student and the research environments at Novo Nordisk Center for Protein Research (KU) and the Department of Electrical Engineering (DTU).

Allowed no of students: 1-2

In collaboration with

Hans-Christian Thorsen-Meyer, KU, e-mail: Hans-christian.Thorsen-meyer.01@regionh.dk

Requirements

Knowledge in signal processing, programming skills and experience with MATLAB

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Contact

Company / Organization

DTU Sundhedsteknologi

Name

Sadasivan Puthusserypady

Position

Gruppeleder, Lektor

Mail

sapu@dtu.dk

Supervisor info

BSc in Electrical Engineering

Supervisor

Sadasivan Puthusserypady

Type

BSc project, MSc thesis

BSc in Biomedical Engineering

Supervisor

Sadasivan Puthusserypady

Type

BSc project, MSc thesis

MSc in Electrical Engineering

Supervisor

Sadasivan Puthusserypady

Type

BSc project, MSc thesis

MSc in Biomedical Engineering

Supervisor

Sadasivan Puthusserypady

Type

BSc project, MSc thesis

Technical University of Denmark

For almost two centuries DTU, Technical University of Denmark, has been dedicated to fulfilling the vision of H.C. Ørsted – the father of electromagnetism – who founded the university in 1829 to develop and create value using the natural sciences and the technical sciences to benefit society.


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