[HTML][HTML] DDPM: A dengue disease prediction and diagnosis model using sentiment analysis and machine learning algorithms
The aedes mosquito-borne dengue viruses cause dengue fever, an arboviral disease
(DENVs). In 2019, the World Health Organization forecasts a yearly occurrence of infections …
(DENVs). In 2019, the World Health Organization forecasts a yearly occurrence of infections …
Opportunities and challenges of machine learning models for prediction and diagnosis of spondylolisthesis: a systematic review
D Saravagi, S Agrawal… - International Journal of …, 2021 - inderscienceonline.com
Applications of machine learning algorithms in healthcare domain gained immense
popularity and attracted research communities in the last decade. Interdisciplinary …
popularity and attracted research communities in the last decade. Interdisciplinary …
Predictive models for the medical diagnosis of dengue: a case study in Paraguay
JD Mello-Román, JC Mello-Román… - … methods in medicine, 2019 - Wiley Online Library
Early diagnosis of dengue continues to be a concern for public health in countries with a
high incidence of this disease. In this work, we compared two machine learning techniques …
high incidence of this disease. In this work, we compared two machine learning techniques …
The Role of Machine Learning in Health Care Diagnosis
RK Shukla, M Rakhra, D Singh… - 2022 4th International …, 2022 - ieeexplore.ieee.org
During our daily lives, artificial intelligence is becoming more ubiquitous. The two artificial
intelligence (AI) descendants are machine learning and deep learning. The new frontier of …
intelligence (AI) descendants are machine learning and deep learning. The new frontier of …
融合知识图谱和深度学习方法的问诊推荐系统.
武家伟, 孙艳春 - Journal of Frontiers of Computer Science & …, 2021 - search.ebscohost.com
近年来, 随着互联网的普及和大数据分析等技术的发展, 人们对移动医疗服务的需求越来越迫切,
具体表现为根据症状确定自己患有的疾病以及根据疾病选择服务质量较好的医院及医生 …
具体表现为根据症状确定自己患有的疾病以及根据疾病选择服务质量较好的医院及医生 …
[PDF][PDF] Recent applications of machine learning: a survey
S Kamepalli, BS Rao - Int. J. Innovative Technol. Exploring Eng, 2019 - researchgate.net
Machine Learning is an interesting research area in computer science which changes the
thoughts of human to machines. It is mainly used for data analysis that plays a vital role in …
thoughts of human to machines. It is mainly used for data analysis that plays a vital role in …
[PDF][PDF] A Multi-Class Classification of Dengue Infection Cases with Feature Selection in Imbalanced Clinical Diagnosis Data.
Dengue infection is a dangerous infectious disease that threatens human health at every
age and can be deadly. The imbalance of the dengue infection disease dataset will interfere …
age and can be deadly. The imbalance of the dengue infection disease dataset will interfere …
Performance evaluation of classifiers for predicting infection cases of dengue virus based on clinical diagnosis criteria
Dengue fever caused by dengue virus infection is a severe health threat that can lead to
death. In the medical and health field, to classify data, data mining exploitation and …
death. In the medical and health field, to classify data, data mining exploitation and …
[HTML][HTML] Ictal-onset localization through effective connectivity analysis based on RNN-GC with intracranial EEG signals in patients with epilepsy
X Wang, Y Liu, C Yang - Brain Informatics, 2024 - Springer
Epilepsy is one of the most common clinical diseases of the nervous system. The occurrence
of epilepsy will bring many serious consequences, and some patients with epilepsy will …
of epilepsy will bring many serious consequences, and some patients with epilepsy will …
Disease diagnosis using machine learning: A comparative study
R Jain, A Chotani, G Anuradha - Data Analytics in Biomedical Engineering …, 2021 - Elsevier
With time new diseases are coming up, there are diseases where the symptoms are
considered to be harmless in 90% of the cases like cold, sneezing, and fever. People …
considered to be harmless in 90% of the cases like cold, sneezing, and fever. People …