Background Sepsis is the leading cause of death in intensive care units (ICUs), and its
timely detection and treatment improve clinical outcome and survival. Systemic inflammatory …

Precision medicine has emerged as a transformative approach aimed at tailoring treatment
to individual patients, moving away from the traditional one-size-fits-all model. However …

In time-to-event prediction problems, a standard approach to estimating an interpretable
model is to use Cox proportional hazards, where features are selected based on lasso …

this paper aimed to present the unique data engineering work for dealing with fragmented
and infrequent data collection and to integrate data from Intensive Care (ICU) with other …

Checklists have been widely recognized as effective tools for completing complex tasks in a
systematic manner. Although originally intended for use in procedural tasks, their …

This study has introduced a new approach to clinical data processing. Clinical data is
unstructured, heterogeneous, and comes from various resources. Although, the challenges …

This doctoral thesis embarks on a comprehensive exploration into the integration of
Intelligent Decision Support Systems (IDSS) within the evolving landscape of Precision …

We present a neural network framework for learning a survival model to predict a time-to-
event outcome while simultaneously learning a topic model that reveals feature …