ArticleJournal of medical systems2012
Artificial intelligence models for predicting iron deficiency anemia and iron serum level based on accessible laboratory data.
Article in Journal of medical systems, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 65 citations in OpenAlex.
- Artificial Intelligence in Patient Blood Management: A Systematic Review of Predictive, Diagnostic, and Decision Support Applications.Journal of clinical medicine · 2025Review
- BamClassifier: a machine learning method for assessing iron deficiency.Scientific reports · 2025Article
- Are we ready to integrate advanced artificial intelligence models in clinical laboratory?Biochemia medica · 2025Review
- A machine-learning clustering approach for reference interval estimation of liver enzymes from hospital laboratory big-data.Bioinformation · 2025Article
- Response accuracy of ChatGPT 3.5 Copilot and Gemini in interpreting biochemical laboratory data a pilot study.Scientific reports · 2024Article
- Artificial Intelligence in Clinical Chemistry: Dawn of a New Era?Indian journal of clinical biochemistry : IJCB · 2023Article
- Clinlabomics: leveraging clinical laboratory data by data mining strategies.BMC bioinformatics · 2022Review
- A Computer-Assisted System for Early Mortality Risk Prediction in Patients with Traumatic Brain Injury Using Artificial Intelligence Algorithms in Emergency Room Triage.Brain sciences · 2022Article
- Applications of machine learning in routine laboratory medicine: Current state and future directions.Clinical biochemistry · 2022Review
- A Novel Expert System for Diagnosis of Iron Deficiency Anemia.Computational and mathematical methods in medicine · 2022Article
- A Real-Time Artificial Intelligence-Assisted System to Predict Weaning from Ventilator Immediately after Lung Resection Surgery.International journal of environmental research and public health · 2021Article
- A customizable deep learning model for nosocomial risk prediction from critical care notes with indirect supervision.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Differential Diagnosis of Iron-Deficiency Anemia from β-Thalassemia Trait Using an Intelligent Model in Comparison with Discriminant Indexes.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2019Article
- Article
- Determination of women iron deficiency anemia using neural networks.Journal of medical systems · 2012Article
- Logistic regression model for prediction of airway reversibility using peak expiratory flow.Tanaffos · 2012Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Iron deficiency anemia (IDA) is the most common nutritional deficiency worldwide. Measuring serum iron is time consuming, expensive and not available in most hospitals. In this study, based on four accessible laboratory data (MCV, MCH, MCHC, Hb/RBC), we developed an artificial neural network (ANN) and an adaptive neuro-fuzzy inference system (ANFIS) to diagnose the IDA and to predict serum iron level. Our results represent that the neural network analysis is superior to ANFIS and logistic regression models in diagnosing IDA. Moreover, the results show that the ANN is likely to provide an accurate test for predicting serum iron levels with high accuracy and acceptable precision.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.