Ofs-z: Optimal features selection by z-score for malaria-infected erythrocyte detection using supervised learning
M Jaffar Sadiq, V Balaram - … of the Second International Conference on …, 2018 - Springer
Analyzing microscopic image of blood smears has a pivotal role in analysis characterization
of erythrocytes in the screening of malarial parasites. Characteristics feature of erythrocyte …
of erythrocytes in the screening of malarial parasites. Characteristics feature of erythrocyte …
Predictive analysis by ensemble classifier with machine learning models
JD Chaya, RN Usha - International Journal of Computers and …, 2023 - Taylor & Francis
Classification of machine learning models had an ultimate achievement by means of
supervised learning, but the 'state-of-art models' have not yet extensively applied the …
supervised learning, but the 'state-of-art models' have not yet extensively applied the …
[PDF][PDF] Heuristic scale to estimate premature malaria parasites: scope in microscopic blood smear images
CD Jagtap, NU Rani - Indian J. Sci. Technol, 2017 - sciresol.s3.us-east-2.amazonaws …
Objective: Malaria is one of the epidemic diseases and early detection of malaria symptoms
in the patients using the current manual procedures are skeptical, as the diagnosis patterns …
in the patients using the current manual procedures are skeptical, as the diagnosis patterns …
Cuckoo Search based Ensemble Classifier for Predictive Analysis of Malaria Infection Scope on thin Blood Smears.
C Jagtap D, U Rani N - … Journal of Public Health Research & …, 2019 - search.ebscohost.com
Classification of machine learning models had an ultimate achievement by means of
supervised learning, but the" state of the art models" have not yet extensively applied the" …
supervised learning, but the" state of the art models" have not yet extensively applied the" …