Adaptation of autoencoder for sparsity reduction from clinical notes representation learning
When dealing with clinical text classification on a small dataset, recent studies have
confirmed that a well-tuned multilayer perceptron outperforms other generative classifiers …
confirmed that a well-tuned multilayer perceptron outperforms other generative classifiers …
A Model for Enhancing Pattern Recognition in Clinical Narrative Datasets through Text-Based Feature Selection and SHAP Technique
SM Dalhatu, MAA Murad - JOIV: International Journal on Informatics …, 2024 - joiv.org
Clinical narratives contain crucial patient information for predicting cardiac failure. Accurate
and timely cardiac failure recognition (CFR) significantly impacts patient outcomes but faces …
and timely cardiac failure recognition (CFR) significantly impacts patient outcomes but faces …
Development of machine-learning-based natural language processing to detect concept labels in clinical narratives
TD Le - 2023 - espace.etsmtl.ca
Currently, an abundance of data and information are available in the clinical domain.
Gras** this opportunity, clinicians have been successfully combining the informative and …
Gras** this opportunity, clinicians have been successfully combining the informative and …
Implementasi Metode Naïve Bayes Classifier Dalam Analisis Sentimen Opini Publik Twitter Tentang G20 Indonesia
V Agustina, S Saraswati - MITITA JURNAL PENELITIAN, 2023 - jurnalmitita.univpasifik.ac.id
Pada satu tahun terakhir ini, Indonesia menjadi tuan rumah dalam penggelaran hajatan
penting yang disebut Presidensi G20. Presidensi Presidensi G20 adalah kongres …
penting yang disebut Presidensi G20. Presidensi Presidensi G20 adalah kongres …
[ЦИТИРОВАНИЕ][C] Adaptation of Autoencoder for Sparsity Reduction From Clinical Notes Representation Learning
MD Jerome Rambaud, MD Guillaume Sans…