[PDF][PDF] Automatic symptoms identification from a massive volume of unstructured medical consultations using deep neural and BERT models
Automatic symptom identification plays a crucial role in assisting doctors during the
diagnosis process in Telemedicine. In general, physicians spend considerable time on …
diagnosis process in Telemedicine. In general, physicians spend considerable time on …
Classification of Arabic healthcare questions based on word embeddings learned from massive consultations: a deep learning approach
Automated question classification is a fundamental component of automated question-
answering systems, which plays a critical role in promoting medical and healthcare services …
answering systems, which plays a critical role in promoting medical and healthcare services …
Automatic Diagnosis of medical conditions using Deep Learning with Symptom2Vec
M Kim, I Joe - IEEE Access, 2023 - ieeexplore.ieee.org
In this paper, a medical examination algorithm is proposed that can collect users' symptoms
and automatically issue a diagnosis. The proposed algorithm makes use of “Symptom2Vec” …
and automatically issue a diagnosis. The proposed algorithm makes use of “Symptom2Vec” …
[HTML][HTML] Predicting medical specialty from text based on a domain-specific pre-trained BERT
Background Owing to the prevalence of the coronavirus disease (COVID-19), coping with
clinical issues at the individual level has become important to the healthcare system …
clinical issues at the individual level has become important to the healthcare system …
[HTML][HTML] Automatic text classification of actionable radiology reports of tinnitus patients using bidirectional encoder representations from transformer (BERT) and in …
Background Given the increasing number of people suffering from tinnitus, the accurate
categorization of patients with actionable reports is attractive in assisting clinical decision …
categorization of patients with actionable reports is attractive in assisting clinical decision …
[HTML][HTML] BERT-Based Medical Chatbot: Enhancing Healthcare Communication through Natural Language Understanding
A Babu, SB Boddu - Exploratory Research in Clinical and Social Pharmacy, 2024 - Elsevier
The advent of modern technologies like Artificial Intelligence (AI), Internet of Things (IoT) and
Deep Learning (DL) has ushered in a transformative era in healthcare, offering innovative …
Deep Learning (DL) has ushered in a transformative era in healthcare, offering innovative …
[HTML][HTML] Optimizing classification of diseases through language model analysis of symptoms
This paper investigated the use of language models and deep learning techniques for
automating disease prediction from symptoms. Specifically, we explored the use of two …
automating disease prediction from symptoms. Specifically, we explored the use of two …
[HTML][HTML] Deep bidirectional LSTM for disease classification supporting hospital admission based on pre-diagnosis: a case study in Vietnam
Overcrowding in hospitals in Vietnam has caused many disadvantages in receiving and
treating patients. Especially at the stage of receiving and diagnosing procedures taking …
treating patients. Especially at the stage of receiving and diagnosing procedures taking …
[HTML][HTML] Text Classification of Patient Experience Comments in Saudi Dialect Using Deep Learning Techniques
NZ Alhazzani, IM Al-Turaiki, SA Alkhodair - Applied Sciences, 2023 - mdpi.com
Improving the quality of healthcare services is of the utmost importance in healthcare
systems. Patient experience is a key aspect that should be gauged and monitored …
systems. Patient experience is a key aspect that should be gauged and monitored …
[HTML][HTML] Cloud-based intelligent self-diagnosis and department recommendation service using Chinese medical BERT
J Wang, G Zhang, W Wang, K Zhang… - Journal of Cloud …, 2021 - Springer
With the rapid development of hospital informatization and Internet medical service in recent
years, most hospitals have launched online hospital appointment registration systems to …
years, most hospitals have launched online hospital appointment registration systems to …