Machine learning and regression-based models to critically evaluate mosquito-borne disease epidemiology: Epidemiologic and big data approaches

Arodh Lal Karn

Machine learning and regression-based models to critically evaluate mosquito-borne disease epidemiology: Epidemiologic and big data approaches

Department of Financial and Actuarial Mathematics

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	355
Pages (from-to)	209
Number of pages	210
Journal	BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY
Volume	125
Publication status	Published - 18 Feb 2020

Cite this

@article{88b831860bfd4323a662dc6948d7fcb4,

title = "Machine learning and regression-based models to critically evaluate mosquito-borne disease epidemiology: Epidemiologic and big data approaches",

author = "Karn, {Arodh Lal}",

year = "2020",

month = feb,

day = "18",

language = "English",

volume = "125",

pages = "209",

journal = "BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY",

issn = "1742-7843",

publisher = "John Wiley & Sons, Inc.",

}

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T1 - Machine learning and regression-based models to critically evaluate mosquito-borne disease epidemiology

T2 - Epidemiologic and big data approaches

AU - Karn, Arodh Lal

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SN - 1742-7843

VL - 125

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JO - BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY

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M1 - 355

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