Item request has been placed!

Item request cannot be made.

Processing Request

Search Results

Display Settings

Results per page: 10

Sort By: Relevance

Your Filters

Publisher : public library of science Subject : chagas disease Subject : intestinal parasites Subject : malaria Subject : malarial parasites Subject : protozoans Subject : red blood cells Filter by : Subject

Item request has been placed!

Item request cannot be made.

Processing Request

Academic Journal

Predicting malaria outbreak in The Gambia using machine learning techniques.

Authors : Khan, Ousman¹ (AUTHOR); Ajadi, Jimoh Olawale^1,2 (AUTHOR) ; Hossain, M. Pear^3,4 (AUTHOR)

Subjects: *MACHINE learning; *MALARIA; *ARTIFICIAL neural networksGAMBIA

Source: PLoS ONE. 5/16/2024, Vol. 19 Issue 5, p1-22. 22p.

Read Online Read More Add to Saved list

Academic Journal

Predicting Plasmodium falciparum infection status in blood using a multiplexed bead-based antigen detection assay and machine learning approaches.

Authors : Schmedes, Sarah E.^1,2 (AUTHOR); Dimbu, Rafael P.³ (AUTHOR); Steinhardt, Laura¹ (AUTHOR)

Subjects: *PLASMODIUM; *MALARIA; *PLASMODIUM falciparumANGOLA; HAITI

Source: PLoS ONE. 9/29/2022, Vol. 17 Issue 9, p1-12. 12p.

Read Online Read More Add to Saved list

Academic Journal

Predicting malaria epidemics in Burkina Faso with machine learning.

Authors : Harvey, David¹ (AUTHOR) ; Valkenburg, Wessel² (AUTHOR); Amara, Amara² (AUTHOR)

Subjects: *MACHINE learning; *EPIDEMICS; *GAUSSIAN processesBURKINA Faso

Source: PLoS ONE. 6/18/2021, Vol. 16 Issue 6, p1-16. 16p.

Read Online Read More Add to Saved list

Academic Journal

Predicting residential structures from open source remotely enumerated data using machine learning.

Authors : Sturrock, Hugh J. W.¹ ; Woolheater, Katelyn²; Bennett, Adam F.¹

Subjects: *OPEN source intelligence; *MACHINE learning; *HOUSEHOLDS

Source: PLoS ONE. 9/21/2018, Vol. 13 Issue 9, p1-10. 10p.

Read Online Read More Add to Saved list

Academic Journal

Automated Detection of P. falciparum Using Machine Learning Algorithms with Quantitative Phase Images of Unstained Cells.

Authors : Park, Han Sang¹ ; Rinehart, Matthew T.¹; Walzer, Katelyn A.^2,3

Subjects: *MALARIA diagnosis; *PLASMODIUM falciparum genetics; *TROPHOZOITES

Source: PLoS ONE. 9/16/2016, Vol. 11 Issue 9, p1-19. 19p.

Read Online Read More Add to Saved list

Academic Journal

Machine learning for predicting Chagas disease infection in rural areas of Brazil.

Authors : De Rose Ghilardi F; Faculdade de Medicina da Universidade de São Paulo-FMUSP, São Paulo, Brazil.; Silva G

Subjects: Chagas Disease*/Chagas Disease*/Chagas Disease*/epidemiology ; Chagas Disease*/Chagas Disease*/Chagas Disease*/diagnosis ; Machine Learning*

Source: PLoS neglected tropical diseases [PLoS Negl Trop Dis] 2024 Apr 16; Vol. 18 (4), pp. e0012026. Date of Electronic Publication: 2024 Apr 16 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101291488 Publication Model: eCollection

Read Online Read More Add to Saved list

Academic Journal

Fusing Data Mining, Machine Learning and Traditional Statistics to Detect Biomarkers Associated with Depression.

Authors : Dipnall, Joanna F.^1,2 ; Pasco, Julie A.^1,3,4,5; Berk, Michael^1,5,6,7,8

Subjects: *DATA mining; *MACHINE learning; *BIOMARKERS

Source: PLoS ONE. 2/5/2016, Vol. 11 Issue 2, p1-23. 23p.

Read Online Read More Add to Saved list

Academic Journal

Rapid and non-invasive detection of malaria parasites using near-infrared spectroscopy and machine learning.

Authors : Sikulu-Lord MT; School of the Environment, Faculty of Science, The University of Queensland, Brisbane, Queensland, Australia.; Edstein MD

Subjects: Parasites* ; Malaria, Falciparum*/Malaria, Falciparum*/Malaria, Falciparum*/diagnosis ; Malaria, Falciparum*/Malaria, Falciparum*/Malaria, Falciparum*/parasitology

Source: PloS one [PLoS One] 2024 Mar 25; Vol. 19 (3), pp. e0289232. Date of Electronic Publication: 2024 Mar 25 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

Read Online Read More Add to Saved list

Academic Journal

Linear and Machine Learning modelling for spatiotemporal disease predictions: Force-of-Infection of Chagas disease.

Authors : Ledien J; School of Life Sciences, University of Sussex, Falmer, Brighton, United Kingdom.; Cucunubá ZM

Subjects: Chagas Disease*/Chagas Disease*/Chagas Disease*/epidemiology ; Machine Learning*; Colombia

Source: PLoS neglected tropical diseases [PLoS Negl Trop Dis] 2022 Jul 19; Vol. 16 (7), pp. e0010594. Date of Electronic Publication: 2022 Jul 19 (Print Publication: 2022).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101291488 Publication Model: eCollection

Read Online Read More Add to Saved list

Academic Journal

Two-year death prediction models among patients with Chagas Disease using machine learning-based methods.

Authors : Ferreira AM; Graduate Program in Health Sciences, State University of Montes Claros (Universidade Estadual de Montes Claros), Montes Claros, Minas Gerais, Brazil.; Santos LI

Subjects: Chagas Disease*/Chagas Disease*/Chagas Disease*/diagnosis ; Machine Learning*; Cohort Studies

Source: PLoS neglected tropical diseases [PLoS Negl Trop Dis] 2022 Apr 14; Vol. 16 (4), pp. e0010356. Date of Electronic Publication: 2022 Apr 14 (Print Publication: 2022).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101291488 Publication Model: eCollection

Read Online Read More Add to Saved list