Deep learning models for forecasting dengue fever based on climate data in Vietnam | Zendy

Van-Hau Nguyen | Zendy; Nguyễn Thị Yến | Zendy; James Mulhall | Zendy; Hoàng Văn Minh | Zendy; Trung Q. Duong | Zendy; Nguyen Van Chien | Zendy; Nguyễn Thị Trang Nhung | Zendy; Vu Hoang Lan | Zendy; Hoang Ba Minh | Zendy; Do Manh Cuong | Zendy; Nguyễn Ngọc Bích | Zendy; Nguyen Huu Quyen | Zendy; Tran Nu Quy Linh | Zendy; Nguyen Thi Thi Tho | Zendy; Ngu Duy Nghia | Zendy; Anh Le | Zendy; Diep Phan | Zendy; Quoc Viet Hung Nguyen | Zendy; Mai Thai Son | Zendy

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Deep learning models for forecasting dengue fever based on climate data in Vietnam

Author(s) -

Van-Hau Nguyen,

Nguyễn Thị Yến,

James Mulhall,

Hoàng Văn Minh,

Trung Q. Duong,

Nguyen Van Chien,

Nguyễn Thị Trang Nhung,

Vu Hoang Lan,

Hoang Ba Minh,

Do Manh Cuong,

Nguyễn Ngọc Bích,

Nguyen Huu Quyen,

Tran Nu Quy Linh,

Nguyen Thi Thi Tho,

Ngu Duy Nghia,

Anh Le,

Diep Phan,

Quoc Viet Hung Nguyen,

Mai Thai Son

Publication year - 2022

Publication title -

plos neglected tropical diseases

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.99

H-Index - 135

eISSN - 1935-2735

pISSN - 1935-2727

DOI - 10.1371/journal.pntd.0010509

Subject(s) - mean squared error , context (archaeology) , climate change , dengue fever , ranking (information retrieval) , machine learning , deep learning , statistics , computer science , artificial intelligence , climatology , geography , mathematics , medicine , geology , ecology , archaeology , immunology , biology

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