10 Mar 2026Open access
A robust framework for clinically interpretable hypothyroidism diagnosis with Polynomial-SHAP and DeepSeqNetPublisher siteJournal Of Big Data, Thyroid Cancer Diagnosis and Treatment
UniversitiesMakuachukwu Bennedith Ejiyi
Active, last published 2026
In artificial intelligence in healthcare
Makuachukwu Bennedith
Ejiyi
Pioneer
Scholar
Expert“Research focused on Artificial Intelligence in Healthcare and adjacent fields.”
University of Nigeria
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323
Citations
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01 · About the work
What I study
akuachukwu Bennedith Ejiyi is a researcher working on Artificial Intelligence in Healthcare. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Makuachukwu's work has been cited 323 times across 3 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Artificial Intelligence in Healthcare×6COVID-19 diagnosis using AI×5Machine Learning in Healthcare×5AI in cancer detection×4Radiomics and Machine Learning in Medical Imaging×3
04 · Where I am
Affiliations
Affiliation on published researchUniversity of NigeriaDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
9 works28 Sept 202416cites
Polynomial-SHAP analysis of liver disease markers for capturing of complex feature interactions in machine learning modelsPublisher siteComputers in Biology and Medicine, Artificial Intelligence in Healthcare
11 Sept 20243cites
Improved deep neural network (EnhanceNet) for real-time detection of some publicly prohibited itemsPublisher siteNetwork Computation in Neural Systems, Advanced Neural Network Applications
3 Sept 20248cites
Attention-enriched deeper UNet (ADU-NET) for disease diagnosis in breast ultrasound and retina fundus imagesPublisher siteProgress in Artificial Intelligence, Retinal Imaging and Analysis
15 Jul 202411cites
MACCoM: A multiple attention and convolutional cross-mixer framework for detailed 2D biomedical image segmentationPublisher siteComputers in Biology and Medicine, AI in cancer detection
16 Apr 202420cites
Enhanced Cardiovascular Disease Prediction Modelling using Machine Learning Techniques: A Focus on CardioVitalnetPublisher siteNetwork Computation in Neural Systems, Artificial Intelligence in Healthcare
21 Mar 202445cites
Comparative performance analysis of Boruta, SHAP, and Borutashap for disease diagnosis: A study with multiple machine learning algorithmsPublisher siteNetwork Computation in Neural Systems, Artificial Intelligence in Healthcare
11 Sept 202318cites
Breast cancer diagnosis and management guided by data augmentation, utilizing an integrated framework of <scp>SHAP</scp> and random augmentationPublisher siteBioFactors, AI in cancer detection
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