Artificial intelligence techniques for predictive modeling of vector-borne diseases and its pathogens: a systematic review
Vector-borne diseases (VBDs) have a significant impact on human and animal health. VBD
has been emerging or re-emerging in a variety of geographic regions, raising alarming new …
has been emerging or re-emerging in a variety of geographic regions, raising alarming new …
[HTML][HTML] Precision medicine approaches with metabolomics and artificial intelligence
Recent technological innovations in the field of mass spectrometry have supported the use
of metabolomics analysis for precision medicine. This growth has been allowed also by the …
of metabolomics analysis for precision medicine. This growth has been allowed also by the …
[HTML][HTML] Reducing false-positive results in newborn screening using machine learning
Newborn screening (NBS) for inborn metabolic disorders is a highly successful public health
program that by design is accompanied by false-positive results. Here we trained a Random …
program that by design is accompanied by false-positive results. Here we trained a Random …
Analyzing and minimizing the effects of Vector-borne diseases using machine and deep learning techniques: A systematic review
Among the numerous threats facing our world, Vector-borne illnesses pose the greatest
threat. Although arboviruses have a long history of infecting humans, they have recently …
threat. Although arboviruses have a long history of infecting humans, they have recently …
A machine learning model for predicting composition of catalytic coprocessing products from molecular beam mass spectra
Demand for the development of an automated and integrated refining process for biofuels
has increased in recent years due to the lack of generalized process inspection tools. In bio …
has increased in recent years due to the lack of generalized process inspection tools. In bio …
[HTML][HTML] Combining machine learning and metabolomics to identify weight gain biomarkers
FL Dias-Audibert, LC Navarro… - … in bioengineering and …, 2020 - frontiersin.org
Weight gain is a metabolic disorder that often culminates in the development of obesity and
other comorbidities such as diabetes. Obesity is characterized by the development of a …
other comorbidities such as diabetes. Obesity is characterized by the development of a …
[HTML][HTML] Temporal and spatiotemporal arboviruses forecasting by machine learning: a systematic review
CL Lima, ACG da Silva, GMM Moreno… - Frontiers in Public …, 2022 - frontiersin.org
Arboviruses are a group of diseases that are transmitted by an arthropod vector. Since they
are part of the Neglected Tropical Diseases that pose several public health challenges for …
are part of the Neglected Tropical Diseases that pose several public health challenges for …
[HTML][HTML] 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 …
Metabolomics and machine learning approaches combined in pursuit for more accurate paracoccidioidomycosis diagnoses
Brazil and many other Latin American countries are areas of endemicity for different
neglected diseases, and the fungal infection paracoccidioidomycosis (PCM) is one of them …
neglected diseases, and the fungal infection paracoccidioidomycosis (PCM) is one of them …
Identifying peripheral arterial disease in the elderly patients using machine-learning algorithms
JM Gao, ZH Ren, X Pan, YX Chen, W Zhu, W Li… - Aging Clinical and …, 2022 - Springer
Background Peripheral artery disease (PAD) is a common syndrome in elderly people.
Recently, artificial intelligence (AI) algorithms, in particular machine-learning algorithms …
Recently, artificial intelligence (AI) algorithms, in particular machine-learning algorithms …