Machine learning and deep learning techniques to support clinical diagnosis of arboviral diseases: A systematic review
SR da Silva Neto, T Tabosa Oliveira… - PLoS neglected …, 2022 - journals.plos.org
Background Neglected tropical diseases (NTDs) primarily affect the poorest populations,
often living in remote, rural areas, urban slums or conflict zones. Arboviruses are a …
often living in remote, rural areas, urban slums or conflict zones. Arboviruses are a …
A comparative study of machine learning techniques for multi-class classification of arboviral diseases
T Tabosa de Oliveira, SR da Silva Neto… - Frontiers in Tropical …, 2022 - frontiersin.org
Among the neglected tropical diseases (NTDs), arboviral diseases present a significant
number of cases worldwide. Their correct classification is a complex process due to the …
number of cases worldwide. Their correct classification is a complex process due to the …
Improved machine learning performances with transfer learning to predicting need for hospitalization in arboviral infections against the small dataset
The prediction of hospital patients and outpatients with suspected arboviral infection
individuals in research-limited settings of the urban areas is defined as a challenging …
individuals in research-limited settings of the urban areas is defined as a challenging …
A systematic review of applications of machine learning and other soft computing techniques for the diagnosis of tropical diseases
This systematic literature aims to identify soft computing techniques currently utilized in
diagnosing tropical febrile diseases and explore the data characteristics and features used …
diagnosing tropical febrile diseases and explore the data characteristics and features used …
Arboviral disease record data-dengue and chikungunya, brazil, 2013–2020
SR da Silva Neto, T Tabosa de Oliveira, IV Teixiera… - Scientific data, 2022 - nature.com
One of the main categories of Neglected Tropical Diseases (NTDs) are arboviruses, of which
Dengue and Chikungunya are the most common. Arboviruses mainly affect tropical …
Dengue and Chikungunya are the most common. Arboviruses mainly affect tropical …
Severity Index for Suspected Arbovirus (SISA): Machine learning for accurate prediction of hospitalization in subjects suspected of arboviral infection
R Sippy, DF Farrell, DA Lichtenstein… - PLoS neglected …, 2020 - journals.plos.org
Background Dengue, chikungunya, and Zika are arboviruses of major global health
concern. Decisions regarding the clinical management of suspected arboviral infection are …
concern. Decisions regarding the clinical management of suspected arboviral infection are …
Alternating decision trees for early diagnosis of dengue fever
MN Kumar - arXiv preprint arXiv:1305.7331, 2013 - arxiv.org
Dengue fever is a flu-like illness spread by the bite of an infected mosquito which is fast
emerging as a major health problem. Timely and cost effective diagnosis using clinical and …
emerging as a major health problem. Timely and cost effective diagnosis using clinical and …
A new intelligence-based approach for computer-aided diagnosis of dengue fever
VSH Rao, MN Kumar - IEEE transactions on information …, 2011 - ieeexplore.ieee.org
Identification of the influential clinical symptoms and laboratory features that help in the
diagnosis of dengue fever (DF) in early phase of the illness would aid in designing effective …
diagnosis of dengue fever (DF) in early phase of the illness would aid in designing effective …
Comparing machine learning with case-control models to identify confirmed dengue cases
TS Ho, TC Weng, JD Wang, HC Han… - PLoS neglected …, 2020 - journals.plos.org
In recent decades, the global incidence of dengue has increased. Affected countries have
responded with more effective surveillance strategies to detect outbreaks early, monitor the …
responded with more effective surveillance strategies to detect outbreaks early, monitor the …
Sensitivity and specificity of a novel classifier for the early diagnosis of dengue
NM Tuan, HT Nhan, NVV Chau, NT Hung… - PLoS neglected …, 2015 - journals.plos.org
Background Dengue is the commonest arboviral disease of humans. An early and accurate
diagnosis of dengue can support clinical management, surveillance and disease control and …
diagnosis of dengue can support clinical management, surveillance and disease control and …
相关搜索
- arboviral diseases clinical diagnosis
- arboviral diseases machine learning
- machine learning clinical diagnosis
- machine learning dengue cases
- machine learning accurate prediction
- machine learning hospitalization in subjects
- machine learning severity index
- machine learning arboviral infection
- machine learning tropical diseases