Care of terminally ill / Palliative care

End-to-end Chinese clinical event extraction based on large language model.

Clinical event extraction is crucial for structuring medical data, supporting clinical decision-maki...

AI and Case Management: From Artificial Intelligence to Generative Intelligence.

Conversations about artificial intelligence (AI) are impossible to escape since the inception of Cha...

User-Centered Methods in Explainable AI Development for Hospital Clinical Decision Support: A Scoping Review.

Explainable Artificial Intelligence (XAI) offers promising advancements in enhancing transparency an...

Assessing the impact of the TB response in Taiwan - the journey towards ending TB.

The incidence of TB in Taiwan declined by 62% from 2005 to 2023 (i.e., from 73/100,000 to 28/100,000...

In Silico Research Is Rewriting the Rules of Drug Development: Is It the End of Human Trials?

Recent advances in computational biology, artificial intelligence (AI), and regulatory science are r...

Predicting dry matter intake in cattle at scale using gradient boosting regression techniques and Gaussian process boosting regression with Shapley additive explanation explainable artificial intelligence, MLflow, and its containerization.

Dry matter intake (DMI) is a measure critical to managing and evaluating livestock. Methods exist fo...

A machine learning based authentication and intrusion detection scheme for IoT users anonymity preservation in fog environment.

Authentication is a critical challenge in fog computing security, especially as fog servers provide ...

OS-DETR: End-to-end brain tumor detection framework based on orthogonal channel shuffle networks.

OrthoNets use the Gram-Schmidt process to achieve orthogonality among filters but do not impose cons...

Ensemble learning guided survival prediction and chemotherapy benefit analysis in high-grade chondrosarcoma: A study based on the surveillance, epidemiology, and end results (SEER) database.

The chemotherapy benefit for high-grade chondrosarcoma remains controversial. Ensemble learning has...

Tiberius: end-to-end deep learning with an HMM for gene prediction.

MOTIVATION: For more than 25 years, learning-based eukaryotic gene predictors were driven by hidden ...

Influence of vitamin D and calcium-sensing receptor gene variants on calcium metabolism in end-stage renal disease: insights from machine learning analysis.

OBJECTIVE: End-stage renal disease (ESRD) commonly manifests with disrupted calcium balance, leading...

Time-Lapse Imaging and Artificial Intelligence: It is Just the End of the Beginning!

Evaluation of End-User Participation in Artificial Intelligence Nursing Projects.

Artificial Intelligence (AI) projects in healthcare, particularly in nursing, currently gain relevan...

Machine Learning-Based Prediction Models of Mortality for Intensive Care Unit Patients Using Nursing Records.

This study aimed to develop ICU mortality prediction models using a conceptual framework, focusing o...

Towards discovery: an end-to-end system for uncovering novel biomedical relations.

Biomedical relation extraction is an ongoing challenge within the natural language processing commun...

Estimating Upper-extremity Function with Raw Kinematic Trajectory Data after Stroke using End-to-end Machine Learning Approach.

Although there are some studies on the automatic evaluation of impairment levels after stroke using ...

Deep STI: Deep Stochastic Time-series Imputation on Electronic Health Records.

Electronic Health Records (EHRs) are a cornerstone of modern healthcare analytics, offering rich dat...

Arrhythmic Mitral Valve Prolapse Phenotype: An Unsupervised Machine Learning Analysis Using a Multicenter Cardiac MRI Registry.

Purpose To use unsupervised machine learning to identify phenotypic clusters with increased risk of ...

AmyloidPETNet: Classification of Amyloid Positivity in Brain PET Imaging Using End-to-End Deep Learning.

Background Visual assessment of amyloid PET scans relies on the availability of radiologist expertis...

sincFold: end-to-end learning of short- and long-range interactions in RNA secondary structure.

MOTIVATION: Coding and noncoding RNA molecules participate in many important biological processes. N...

AACFlow: an end-to-end model based on attention augmented convolutional neural network and flow-attention mechanism for identification of anticancer peptides.

MOTIVATION: Anticancer peptides (ACPs) have natural cationic properties and can act on the anionic c...