AI Medical Compendium Journal:
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine

Showing 1 to 10 of 16 articles

Building Prediction Models for 30-Day Readmissions Among ICU Patients Using Both Structured and Unstructured Data in Electronic Health Records.

Proceedings. IEEE International Conference on Bioinformatics and Biomedicine
ICU readmissions are associated with poor outcomes for patients and poor performance of hospitals. Patients who are readmitted have an increased risk of in-hospital deaths; hospitals with a higher read-mission rate have a reduced profitability, due t...

ASD-GResTM: Deep Learning Framework for ASD classification using Gramian Angular Field.

Proceedings. IEEE International Conference on Bioinformatics and Biomedicine
Autism Spectrum Disorder (ASD) is a heterogeneous disorder in children, and the current clinical diagnosis is accomplished using behavioral, cognitive, developmental, and language metrics. These clinical metrics can be imperfect measures as they are ...

Harnessing Transfer Learning for Dementia Prediction: Leveraging Sex-Different Mild Cognitive Impairment Prognosis.

Proceedings. IEEE International Conference on Bioinformatics and Biomedicine
This paper presents a machine learning-based prediction for dementia, leveraging transfer learning to reuse the knowledge learned from prediction of mild cognitive impairment, a precursor of dementia. We also examine the impacts of temporal aspects o...

A generalizable physiological model for detection of Delayed Cerebral Ischemia using Federated Learning.

Proceedings. IEEE International Conference on Bioinformatics and Biomedicine
Delayed cerebral ischemia (DCI) is a complication seen in patients with subarachnoid hemorrhage stroke. It is a major predictor of poor outcomes and is detected late. Machine learning models are shown to be useful for early detection, however trainin...

Explanatory Analysis of a Machine Learning Model to Identify Hypertrophic Cardiomyopathy Patients from EHR Using Diagnostic Codes.

Proceedings. IEEE International Conference on Bioinformatics and Biomedicine
Hypertrophic cardiomyopathy (HCM) is a genetic heart disease that is the leading cause of sudden cardiac death (SCD) in young adults. Despite the well-known risk factors and existing clinical practice guidelines, HCM patients are underdiagnosed and s...

Deep Learning Prediction of Mild Cognitive Impairment using Electronic Health Records.

Proceedings. IEEE International Conference on Bioinformatics and Biomedicine
About 44.4 million people have been diagnosed with dementia worldwide, and it is estimated that this number will be almost tripled by 2050. Predicting mild cognitive impairment (MCI), an intermediate state between normal cognition and dementia and an...

Simultaneous multiple features tracking of beats: A representation learning approach to reduce false alarm rates in ICUs.

Proceedings. IEEE International Conference on Bioinformatics and Biomedicine
The high rate of false alarms is a key challenge related to patient care in intensive care units (ICUs) that can result in delayed responses of the medical staff. Several rule-based and machine learning-based techniques have been developed to address...

Continuous Pain Assessment Using Ensemble Feature Selection from Wearable Sensor Data.

Proceedings. IEEE International Conference on Bioinformatics and Biomedicine
Sickle cell disease (SCD) is a red blood cell disorder complicated by lifelong issues with pain. Management of SCD related pain is particularly challenging due to its subjective nature. Hence, the development of an objective automatic pain assessment...

A Translational Pipeline for Overall Survival Prediction of Breast Cancer Patients by Decision-Level Integration of Multi-Omics Data.

Proceedings. IEEE International Conference on Bioinformatics and Biomedicine
Breast cancer is the most prevalent and among the most deadly cancers in females. Patients with breast cancer have highly variable survival rates, indicating a need to identify prognostic biomarkers. By integrating multi-omics data (e.g., gene expres...

Automatic Methods to Extract New York Heart Association Classification from Clinical Notes.

Proceedings. IEEE International Conference on Bioinformatics and Biomedicine
Cardiac Resynchronization Therapy (CRT) is an established pacing therapy for heart failure patients. The New York Heart Association (NYHA) classification is often used as a measure of a patient's response to CRT. Identifying NYHA class for heart fail...