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Publisher : public library of science Subject : chagas disease Subject : intestinal parasites Subject : malarial parasites Subject : protozoans Filter by : Subject
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Academic Journal

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

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

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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

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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

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Academic Journal

Machine Learning Models and Pathway Genome Data Base for Trypanosoma cruzi Drug Discovery.

  • Authors : Ekins S; Collaborative Drug Discovery, Burlingame, California, United States of America; Collaborations in Chemistry, Fuquay-Varina, North Carolina, United States of America.

Subjects: Machine Learning*; Chagas Disease/Chagas Disease/Chagas Disease/*parasitology ; Drug Discovery/Drug Discovery/Drug Discovery/*methods

  • Source: PLoS neglected tropical diseases [PLoS Negl Trop Dis] 2015 Jun 26; Vol. 9 (6), pp. e0003878. Date of Electronic Publication: 2015 Jun 26 (Print Publication: 2015).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101291488 Publication Model: eCollection

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Academic Journal

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

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

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

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Essential gene prediction using limited gene essentiality information–An integrative semi-supervised machine learning strategy

Subjects: 0301 basic medicine; Leishmania Donovani; Support Vector Machine

  • Source: PLoS ONEPLoS ONE, Vol 15, Iss 11, p e0242943 (2020)

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Perspective: Dimensions of the scientific method

Subjects: 0301 basic medicine; Science and Technology Workforce; Computer science

  • Source: PLoS Computational BiologyPLoS Computational Biology, Vol 15, Iss 9, p e1007279 (2019)

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Machine Learning Models and Pathway Genome Data Base for Trypanosoma cruzi Drug Discovery

Subjects: Chagas disease; lcsh:Arctic medicine. Tropical medicine; lcsh:RC955-962

  • Source: PLoS Neglected Tropical DiseasesPLoS Neglected Tropical Diseases, Vol 9, Iss 6, p e0003878 (2015)

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  • 1-8 of  8 results for ""Machine Learning""