Article

Hospital Readmission and Length of Stay Prediction Using an Optimized Hybrid Deep Model

2023-07-05

Abstract excerpt

Hospital readmission and length of stay prediction provide info to manage hospitals’ bed capacity and the number of required staff, especially during pandemics. We present a hybrid deep model called Genetic Algorithm-Optimized Convolutional Neural Network (GAOCNN) with a unique preprocessing method to predict hospital readmission and the length of stay in patients having various conditions. GAOCNN uses one-dimensi...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 5f854a66-65ed-5732-9de3-c0f11d0a93c0
DOI: 10.20944/preprints202307.0320.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Hospital Readmission and Length of Stay Prediction Using an Optimized Hybrid Deep ModelDOI 10.20944/preprints202307.0320.v1Read

A Three-stage model for hospital length of Stay prediction using Machine and deep learning AlgorithmsSemantic proximity Read

Deep Neural Network Analysis of Clinical Variables Predicts Escalated Care in COVID-19 PatientsSemantic proximity Read

Development and validation of a dynamic prediction model for unplanned ICU admission and mortality in hospitalized patientsSemantic proximity Read

Predicting 30-Day Hospital Readmission in Medicare Patients: Insights from an LSTM Deep Learning ModelSemantic proximity Read

Explainable predictions of a machine learning model to forecast the postoperative length of stay for severe patients: Machine Learning Model Development and EvaluationSemantic proximity Read

Explainable predictions of a machine learning model to forecast the postoperative length of stay for severe patientsSemantic proximity Read

Hospital Discharge Prediction Using Machine LearningSemantic proximity Read

Predicting Severe COVID-19 Patients Based on Deep Learning: An Application of DeepFM ModelSemantic proximity Read

Towards Predicting Length of Stay and Identification of Cohort Risk Factors Using Self-Attention Based Transformers and Association Mining: Covid-19 as PhenotypeSemantic proximity Read

Predictive Analytics for Care and Management of Patients With Acute Diseases: Deep Learning-Based Method to Predict Crucial Complication Phenotypes.Semantic proximity Read

A Deep Learning Post-Discharge Mortality Prediction Method Considering Diagnosis Information for ICU PatientsSemantic proximity Read

Improving Hospital Length of Stay Prediction through Heterogeneous Data Integration from MIMIC-III RecordsSemantic proximity Read