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Found 4 papers, 1 papers with code
A quantitative fusion strategy of stock picking and timing based on Particle Swarm Optimized-Back Propagation Neural Network and Multivariate Gaussian-Hidden Markov Model
In recent years, machine learning (ML) has brought effective approaches and novel techniques to economic decision, investment forecasting, and risk management, etc., coping the variable and intricate nature of economic and financial environments.
An Integrative Paradigm for Enhanced Stroke Prediction: Synergizing XGBoost and xDeepFM Algorithms
Stroke prediction plays a crucial role in preventing and managing this debilitating condition.
MedLens: Improve Mortality Prediction Via Medical Signs Selecting and Regression
Monitoring the health status of patients and predicting mortality in advance is vital for providing patients with timely care and treatment.
FineEHR: Refine Clinical Note Representations to Improve Mortality Prediction
To address this issue, we propose FINEEHR, a system that utilizes two representation learning techniques, namely metric learning and fine-tuning, to refine clinical note embeddings, while leveraging the intrinsic correlations among different health statuses and note categories.
