AIMC Topic: Needs Assessment

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Identifying Distinct Subgroups of ICU Patients: A Machine Learning Approach.

Critical care medicine
OBJECTIVES: Identifying subgroups of ICU patients with similar clinical needs and trajectories may provide a framework for more efficient ICU care through the design of care platforms tailored around patients' shared needs. However, objective methods...

Assessing User Needs and Requirements for Assistive Robots at Home.

Studies in health technology and informatics
'Robots in healthcare' is a very trending topic. This paper gives an overview of currently and commonly used methods to gather user needs and requirements in research projects in the field of assistive robotics. Common strategies between authors are ...

Real-time Data Fusion Platforms: The Need of Multi-dimensional Data-driven Research in Biomedical Informatics.

Studies in health technology and informatics
Systems designed to expedite data preprocessing tasks such as data discovery, interpretation, and integration that are required before data analysis drastically impact the pace of biomedical informatics research. Current commercial interactive and re...

Classifying the Indication for Colonoscopy Procedures: A Comparison of NLP Approaches in a Diverse National Healthcare System.

Studies in health technology and informatics
In order to measure the level of utilization of colonoscopy procedures, identifying the primary indication for the procedure is required. Colonoscopies may be utilized not only for screening, but also for diagnostic or therapeutic purposes. To determ...

Assessing the Need of Discourse-Level Analysis in Identifying Evidence of Drug-Disease Relations in Scientific Literature.

Studies in health technology and informatics
Relation extraction typically involves the extraction of relations between two or more entities occurring within a single or multiple sentences. In this study, we investigated the significance of extracting information from multiple sentences specifi...

Improving Hospital-Wide Early Resource Allocation through Machine Learning.

Studies in health technology and informatics
The objective of this paper is to evaluate the extent to which early determination of diagnosis-related groups (DRGs) can be used for better allocation of scarce hospital resources. When elective patients seek admission, the true DRG, currently deter...