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Browsing by Subject "Machine learning"

Browsing by Subject "Machine learning"

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  • Developing an advanced PM 25 exposure model in Lima, Peru 
    Vu, B.N.; Sánchez, O.; Bi, J.; Xiao, Q.; Hansel, N.N.; Checkley, W.; Gonzales Rengifo, Gustavo Francisco; Steenland, K.; Liu, Y. (MDPI, 2019)
    It is well recognized that exposure to fine particulate matter (PM 2.5 ) affects health adversely, yet few studies from South America have documented such associations due to the sparsity of PM 2.5 measurements. Lima's ...
  • A molecular barcode and web-based data analysis tool to identify imported Plasmodium vivax malaria 
    Trimarsanto, Hidayat; Amato, Roberto; Pearson, Richard D.; Sutanto, Edwin; Noviyanti, Rintis; Trianty, Leily; Marfurt, Jutta; Pava, Zuleima; Echeverry, Diego F.; Lopera-Mesa, Tatiana M.; Montenegro, Lidia M.; Tobon-Castano, Alberto; Grigg, Matthew J.; Barber, Bridget; William, Timothy; Anstey, Nicholas M.; Getachew, Sisay; Petros, Beyene; Aseffa, Abraham; Assefa, Ashenafi; Rahim, Awab G.; Chau, Nguyen H.; Hien, Tran T.; Alam, Mohammad S.; Khan, Wasif A.; Ley, Benedikt; Thriemer, Kamala; Wangchuck, Sonam; Hamedi, Yaghoob; Adam, Ishag; Liu, Yaobao; Gao, Qi; Sriprawat, Kanlaya; Ferreira, Marcelo U.; Laman, Moses; Barry, Alyssa; Mueller, Ivo; Lacerda, Marcus V. G.; Llanos Cuentas, Elmer Alejandro; Krudsood, Srivicha; Lon, Chanthap; Mohammed, Rezika; Yilma, Daniel; Pereira, Dhelio B; Espino, Fe E. J.; Chu, Cindy S.; Velez, Ivan D.; Namaik-Larp, Chayadol; Villegas, Maria F.; Green, Justin A.; Koh, Gavin; Rayner, Julian C.; Drury, Eleanor; Goncalves, Sonia; Simpson, Victoria; Miotto, Olivo; Miles, Alistair; White, Nicholas J.; Nosten, Francois; Kwiatkowski, Dominic P.; Price, Ric N.; Auburn, Sarah (Nature Research, 2022)
    Traditionally, patient travel history has been used to distinguish imported from autochthonous malaria cases, but the dormant liver stages of Plasmodium vivax confound this approach. Molecular tools offer an alternative ...
  • Performance of a fully-automated system on a WHO malaria microscopy evaluation slide set 
    Horning, Matthew P.; Delahunt, Charles B.; Bachman, Christine M.; Luchavez, Jennifer; Luna, Christian; Hu, Liming; Jaiswal, Mayoore S.; Thompson, Clay M.; Kulhare, Sourabh; Janko, Samantha; Wilson, Benjamin K.; Ostbye, Travis; Mehanian, Martha; Gebrehiwot, Roman; Yun, Grace; Bell, David; Proux, Stephane; Carter, Jane Y.; Oyibo, Wellington; Gamboa Vilela, Dionicia Baziliza; Dhorda, Mehul; Vongpromek, Ranitha; Chiodini, Peter L.; Ogutu, Bernhards; Long, Earl G.; Tun, Kyaw; Burkot, Thomas R.; Lilley, Ken; Mehanian, Courosh (BioMed Central, 2021)
    BACKGROUND: Manual microscopy remains a widely-used tool for malaria diagnosis and clinical studies, but it has inconsistent quality in the field due to variability in training and field practices. Automated diagnostic ...

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