Fake news detection model on social media by leveraging sentiment analysis of news content and emotion analysis of users' comments
Nowadays, social media has become the main source of news around the world. The
spread of fake news on social networks has become a serious global issue, damaging many …
spread of fake news on social networks has become a serious global issue, damaging many …
Natural Language Processing Techniques for Text Classification of Biomedical Documents: A Systematic Review
The classification of biomedical literature is engaged in a number of critical issues that
physicians are expected to answer. In many cases, these issues are extremely difficult. This …
physicians are expected to answer. In many cases, these issues are extremely difficult. This …
Applying deep learning model to predict diagnosis code of medical records
The International Classification of Diseases (ICD) code is a diagnostic classification
standard that is frequently used as a referencing system in healthcare and insurance …
standard that is frequently used as a referencing system in healthcare and insurance …
Predicting icd-9 codes using self-report of patients
The International Classification of Diseases (ICD) is a globally recognized medical
classification system that aids in the identification of diseases and the regulation of health …
classification system that aids in the identification of diseases and the regulation of health …
PetBERT: automated ICD-11 syndromic disease coding for outbreak detection in first opinion veterinary electronic health records
Effective public health surveillance requires consistent monitoring of disease signals such
that researchers and decision-makers can react dynamically to changes in disease …
that researchers and decision-makers can react dynamically to changes in disease …
Forecasting the tuberculosis incidence using a novel ensemble empirical mode decomposition-based data-driven hybrid model in Tibet, China
J Li, Y Li, M Ye, S Yao, C Yu, L Wang… - Infection and Drug …, 2021 - Taylor & Francis
Objective The purpose of this study is to develop a novel data-driven hybrid model by fusing
ensemble empirical mode decomposition (EEMD), seasonal autoregressive integrated …
ensemble empirical mode decomposition (EEMD), seasonal autoregressive integrated …
MR-KPA: medication recommendation by combining knowledge-enhanced pre-training with a deep adversarial network
S Lin, M Wang, C Shi, Z Xu, L Chen, Q Gao, J Chen - BMC bioinformatics, 2022 - Springer
Background Medication recommendation based on electronic medical record (EMR) is a
research hot spot in smart healthcare. For developing computational medication …
research hot spot in smart healthcare. For developing computational medication …
International Classification of Diseases Prediction from MIMIIC-III Clinical Text Using Pre-Trained ClinicalBERT and NLP Deep Learning Models Achieving State of the …
I Aden, CHT Child, CC Reyes-Aldasoro - Big Data and Cognitive …, 2024 - mdpi.com
The International Classification of Diseases (ICD) serves as a widely employed framework
for assigning diagnosis codes to electronic health records of patients. These codes facilitate …
for assigning diagnosis codes to electronic health records of patients. These codes facilitate …
Red Flag/Blue Flag visualization of a common CNN for text classification
J Del Gaizo, JS Obeid, KR Catchpole… - JAMIA …, 2023 - academic.oup.com
A shallow convolutional neural network (CNN), TextCNN, has become nearly ubiquitous for
classification among clinical and medical text. This research presents a novel eXplainable …
classification among clinical and medical text. This research presents a novel eXplainable …
Examination of summarized medical records for ICD code classification via BERT
Abstract The International Classification of Diseases (ICD) is utilized by member countries of
the World Health Organization (WHO). It is a critical system to ensure worldwide …
the World Health Organization (WHO). It is a critical system to ensure worldwide …