Gated recurrent unit with decay has real-time capability for postoperative ileus surveillance and offers cross-hospital transferability.

ABSTRACT:

Background

Ileus, a postoperative complication after colorectal surgery, increases morbidity, costs, and hospital stays. Assessing risk of ileus is crucial, especially with the trend towards early discharge. Prior studies assessed risk of ileus with regression models, the role of deep learning remains unexplored.

Methods

We evaluated the Gated Recurrent Unit with Decay (GRU-D) for real-time ileus risk assessment in 7349 colorectal surgeries across three Mayo Clinic sites with two Electronic Health Record (EHR) systems. The results were compared with atemporal models on a panel of benchmark metrics.

Results

Here we show that despite extreme data sparsity (e.g., 72.2% of labs, 26.9% of vitals lack measurements within 24 h post-surgery), GRU-D demonstrates improved perfo

SUBMITTER: Ruan X 

PROVIDER: S-EPMC12322181 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature