Application of Machine Learning for Detection and Prediction of Malaria: A Review
M Apetorgbor, V Wankhede, K Dakhare… - … for Innovation in …, 2024 - ieeexplore.ieee.org
Mosquitoes carries a parasitic infection that affects millions of peoples globally. The initial
and meticulous prediction of outbursts, patient verdict, and treatment enhancement can all …
and meticulous prediction of outbursts, patient verdict, and treatment enhancement can all …
Improving malaria prediction with ensemble learning and robust scaler: An integrated approach for enhanced accuracy
A Khoirunnisa, NG Ramadhan - Jurnal Infotel, 2023 - ejournal.ittelkom-pwt.ac.id
Mosquito bites are the primary transmission method for malaria, a prevalent and significant
health concern worldwide. In the context of malaria incidence, Indonesia is the second most …
health concern worldwide. In the context of malaria incidence, Indonesia is the second most …
Machine learning based malaria prediction using clinical findings
Even today, Malaria is the most deadly disease in Asia and sub-Saharan Africa and
particularly in Senegal. This is mainly due to inadequate medical care support with frequent …
particularly in Senegal. This is mainly due to inadequate medical care support with frequent …
Machine learning techniques for predicting malaria: Unpacking emerging challenges and opportunities for tackling malaria in sub-saharan Africa
E Mbunge, RC Milham, MN Sibiya… - Computer Science On …, 2023 - Springer
Malaria resurgence significantly threatens progress made towards malaria elimination in the
past years and consequently increases socioeconomic and public health burden, especially …
past years and consequently increases socioeconomic and public health burden, especially …
Leveraging deep learning techniques for malaria parasite detection using mobile application
Malaria is a contagious disease that affects millions of lives every year. Traditional diagnosis
of malaria in laboratory requires an experienced person and careful inspection to …
of malaria in laboratory requires an experienced person and careful inspection to …
A symptom-based machine learning model for malaria diagnosis in Nigeria
B Muhammad, A Varol - 2021 9th International Symposium on …, 2021 - ieeexplore.ieee.org
Malaria, with around 200 million cases worldwide, tends to kill more people than war and
crises. With efforts to reduce mortality rates being futile, an inadequate malaria diagnosis is …
crises. With efforts to reduce mortality rates being futile, an inadequate malaria diagnosis is …
[PDF][PDF] ADVANCEMENTS IN MACHINE LEARNING FOR DETECTION AND PREDICTION OF INFECTIOUS AND PARASITIC DISEASES: A COMPREHENSIVE …
B Marandi, MK Deep - Machine Learning - ijamsr.com
This paper provides a comprehensive review of the integration of machine learning (ML)
techniques in the detection and prediction of infectious diseases, focusing on malaria and …
techniques in the detection and prediction of infectious diseases, focusing on malaria and …
Using Machine Learning Techniques to predict malaria prevalence in Rwanda
E Mukeshimana, J Nzabanita - 2024 - researchsquare.com
Malaria is a terrible communicable disease that leads to the death of people every day
throughout the world despite the effort made to eradicate it. This vector-borne disease affects …
throughout the world despite the effort made to eradicate it. This vector-borne disease affects …
Machine Learning Strategies for Malaria Risk Prediction based on Text-based Clinical Information
P SAHU, P Priyadarshini, S Tripathy, Y Das, S Pradhan - 2023 - researchsquare.com
Transmitted through mosquito bites, malaria is a disease that poses a serious threat to life
and is caused by parasites. Its impact on the health of infants, children, and pregnant women …
and is caused by parasites. Its impact on the health of infants, children, and pregnant women …
[PDF][PDF] Comparative Analysis of Malaria Detection Using Predictive Algorithms
T Thatte, U Khairnar, AR Deshpande - pijet.org
Diseases, including Malaria, pose a significant threat to global public health especially in
underprivileged communities. They do not affect physical health but also result in economic …
underprivileged communities. They do not affect physical health but also result in economic …