Detection of iron deficiency anemia by medical images: a comparative study of machine learning algorithms

P Appiahene, JW Asare, ET Donkoh, G Dimauro… - BioData mining, 2023 - Springer
Background Anemia is one of the global public health problems that affect children and
pregnant women. Anemia occurs when the level of red blood cells within the body …

[HTML][HTML] Detection of anemia using conjunctiva images: A smartphone application approach

P Appiahene, EJ Arthur, S Korankye, S Afrifa… - Medicine in Novel …, 2023 - Elsevier
Anemia is one of the public health issues that affect children and pregnant women globally.
Anemia occurs when the level of red blood cells within the body is reduced. Detecting …

Data mining techniques for early diagnosis of diabetes: a comparative study

L Chaves, G Marques - Applied Sciences, 2021 - mdpi.com
Diabetes is a life-long condition that is well-known in the 21st century. Once known as a
disease of the West, the rise of diabetes has been fed by a nutrition shift, rapid urbanization …

[HTML][HTML] Voltammetric sensing using an array of modified SPCE coupled with machine learning strategies for the improved identification of opioids in presence of …

D Ortiz-Aguayo, K De Wael, M del Valle - Journal of Electroanalytical …, 2021 - Elsevier
This work reports the use of modified screen-printed carbon electrodes (SPCEs) for the
identification of three drugs of abuse and two habitual cutting agents, caffeine and …

Fisheye freshness detection using common deep learning algorithms and machine learning methods with a developed mobile application

MB Yildiz, ET Yasin, M Koklu - European Food Research and Technology, 2024 - Springer
Fish is commonly ingested as a source of protein and essential nutrients for humans. To fully
benefit from the proteins and substances in fish it is crucial to ensure its freshness. If fish is …

Beyond mathematics, statistics, and programming: data science, machine learning, and artificial intelligence competencies and curricula for clinicians, informaticians …

WR Hersh, RE Hoyt, S Chamberlin, JS Ancker… - Health …, 2023 - Taylor & Francis
Data science, machine learning and artificial intelligence applications impact clinicians,
informaticians, science journalists, and researchers. Most biomedical data science training …

Analyzing COVID-19 dataset through data mining tool “orange”

U Thange, VK Shukla, R Punhani… - 2021 2nd international …, 2021 - ieeexplore.ieee.org
Data mining is comprehended as a procedure used to get important data from any more
extensive cluster of raw data. It infers assessment of data designs in huge data sets utilizing …

[HTML][HTML] Application of machine learning approach for iron deficiency anaemia detection in children using conjunctiva images

JW Asare, WL Brown-Acquaye, MM Ujakpa… - Informatics in Medicine …, 2024 - Elsevier
Iron deficiency is commonly referred to as anaemia which is a general public health problem
that normally occurs as a result of a reduction in red blood cells which is common in …

Diagnosis of bearing faults using temporal vibration signals: a comparative study of machine learning models with feature selection techniques

AA Jaber - Journal of Failure Analysis and Prevention, 2024 - Springer
Accurately identifying bearing defects is crucial for guaranteeing the dependability and
effectiveness of industrial systems. Although the use of vibration signals for diagnosing …

[PDF][PDF] A review of diabetes datasets

MM Yabo, AB Garko, AA Muslim… - Journal of Computer …, 2022 - researchgate.net
Many intelligent healthcare systems have been developed to diagnose human diseases
such as breast cancer, hepatitis, diabetes and heart diseases. Diabetes is a lifelong chronic …