Towards Computational Assessment of Iron Deficiency

Emmanuel Adabor, Patrick Adu, Daniel A Asamoah

Research output: Contribution to conferenceAbstract

Abstract

Iron deficiency remains a critical health issue worldwide, affecting millions and posing significant challenges in diagnosis and management. Traditional methods for assessing iron deficiency often rely on labor-intensive laboratory tests and clinical evaluation, which can be costly, time-consuming, and sometimes inconclusive. In response to these challenges, this study endeavors to advance computational approaches to enhance the accuracy, efficiency, and accessibility of iron deficiency assessment. The objective of the study is to present a novel machine learning model for computational assessment iron deficiency. By leveraging diverse datasets obtained from different regions in Ghana, we develop robust computational approaches capable of predicting iron deficiency status with high precision. Computational approaches including the novel method are compared on the bases of standard metrics such as accuracy, sensitivity, specificity and area under receiver operating characteristic curve. While existing computational methods performed well on iron deficiency assessment tasks, the new method was the better performer in all experiments. The findings from this investigation not only contribute to the field of digital health but also hold promise in improving early detection and personalized management of iron deficiency disorders, thereby potentially mitigating associated health risks on a broader scale.
Original languageAmerican English
StatePublished - 2024
Event14th Convention of Biomedical Research, Ghana: Advancing Biomedical Innovation in Africa for Health Research and Outcomes - Noguchi Memorial Institute for Medical Research, Legon, Ghana
Duration: Aug 28 2024Aug 30 2024
Conference number: 14
https://perma.cc/CC5J-6DF7

Conference

Conference14th Convention of Biomedical Research, Ghana
Country/TerritoryGhana
CityLegon
Period8/28/248/30/24
Internet address

Keywords

  • Anemia, Iron-Deficiency
  • Iron Deficiencies

Disciplines

  • Bioinformatics
  • Medical Biomathematics and Biometrics
  • Other Biomedical Engineering and Bioengineering
  • Business

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