Anemia disease prediction using machine learning techniques and performance analysis

MM Rahman, MU Mojumdar, HA Shifa… - … on Computing for …, 2024 - ieeexplore.ieee.org
The most frequent hematological disorder is anemia, which can affect anyone. This illness
develops when the blood lacks enough red blood cells or hemoglobin. However, if a person …

A comprehensive review of emerging technologies for anemia detection

VP Kharkar, AP Thakare - 2022 8th International Conference …, 2022 - ieeexplore.ieee.org
In recent year, anemia emerges as a major health concern among the children and pregnant
woman in develo** countries like India. The National Family Health Survey data also …

Automated Diagnosis of Anemia Signs using Machine Learning

K Sherin, APA Victoria, S Harini… - 2024 11th International …, 2024 - ieeexplore.ieee.org
Anemia, is acommon medical condition distinguished by a shortage of red blood
corpusclesposes significant health concerns globally. This should be detected at an early …

[PDF][PDF] Human papillomavirus targeted immunotherapy outcome prediction using machine learning

V Moni, S Cumarasurier - … Journal for Research in Applied Science …, 2021 - academia.edu
Warts caused by the Human Papillomavirus (HPV) is a highly contagious disease, and
affects several million people across the globe every year, in the form of small lesions on the …

Anemia Prediction Using Machine Learning Algorithms

A Hafiz, S Rai - International Conference on Advancements in Smart …, 2023 - Springer
Anemia is one of the issues with global public health, mostly affecting children and
expectant mothers. A WHO study states that 42% of children under the age of six and 40% of …

Experimental study and comparison of medical methodology and machine learning models to enhance algorithms for morphological classification of clinical and …

I Uvaliyeva, D Borozenets - 2024 International Congress on …, 2024 - ieeexplore.ieee.org
The dynamic evolution of modern medicine highlights the increasing significance of
automating diagnostic procedures. This progression is not solely a matter of convenience …

Web Mining and Anemia Classification in Gujarat via WWW

K Thakor, S Parikh, V Dabhi… - SAMRIDDHI: A Journal of …, 2023 - smsjournals.com
Web mining makes extracting internet data from big databases feasible. Low hemoglobin or
insufficient red blood cells are symptoms of anemia. Undernutrition is the most common …

Anemia classification in Gujarat using data mining

K Thakor, S Parikh, A Gandhi, V Dabhi - AIP Conference Proceedings, 2024 - pubs.aip.org
It is possible to collect online data from huge databases by web mining. Anemia can be
identified by low hemoglobin levels or a shortage of red blood cells. The most frequent …

Automated Detection of Anemia in Small Ruminants Using Non-Invasive Visual Analysis Based on BIC Descriptor

TB Borchartt, WF Ribeiro - 2023 36th SIBGRAPI Conference on …, 2023 - ieeexplore.ieee.org
This study presents an automated method for the detection of anemia in small ruminants
using non-invasive visual analysis of the ocular conjunctiva. The method involves image …

COVID-19 risk factors specification using Decision Tree based on the degree of redundancy between features

SJ Mohammed, MS Mohammed - 2022 IEEE 3rd Global …, 2022 - ieeexplore.ieee.org
Based on the latest diseases which spread in the whole world and need to be predicted and
classified. In addition, when testing and examining the samples will be safer with far data …