Classification Accuracy Using Logistic Model

Label attention meets deep learning: a novel model for ICD-11 automatic classification of Chinese EMRs

BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...

This new, dead simple prompt technique boosts accuracy on LLMs by up to 76% on non-reasoning tasks

Most modern LLMs are trained as "causal" language models. This means they process text strictly from left to right. When the ...

The American Journal of Managed Care

Insights Into Patient Portal Engagement Leveraging Observational Electronic Health Data

Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...

Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

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Label attention meets deep learning: a novel model for ICD-11 automatic classification of Chinese EMRs

This new, dead simple prompt technique boosts accuracy on LLMs by up to 76% on non-reasoning tasks

Insights Into Patient Portal Engagement Leveraging Observational Electronic Health Data

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

Rising Demand: Why Door-to-Door Shipping from China to Canada Has Become a Preferred Import Option

New RoboReward dataset and models automate robotic training and evaluation

The Silent Profit Killer in Transportation & Logistics