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Increase Praise Innocent
Institution:
Aqualinc (New Zealand)
Observed institutions:
Federal University of Technology Owerri,
Imo State University,
Aqualinc (New Zealand)
OpenAlex ID:
A5093733172
Knowledge and Utilization of Cervical Cancer Screening Services Among Female Undergraduates at FUTO
2023
·
Cynthia Nwachukwu
, Nneka Eleanor Asuzu
, et al.
·
Journal of Biomedical Research & Environmental Sciences
·
1
PDF
A scoping review of antimicrobial stewardship programmes in tertiary hospitals across low- and middle-income countries
2026
·
David Chinaecherem Innocent
, Precious Ebube Anyakorah
, et al.
·
Antimicrobial Resistance and Infection Control
Machine learning models in clinical decision support systems: a scoping review
2026
·
David Chinaecherem Innocent
, Rejoicing Chijindum Innocent
, et al.
·
Bulletin of the National Research Centre/Bulletin of the National Research Center
PDF
Diagnostic accuracy of machine-learning–based image analysis for early detection of Kaposi sarcoma in people living with HIV
2026
·
David Chinaecherem Innocent
, Increase Praise Innocent
, et al.
·
Frontiers in Artificial Intelligence
PDF
Explainable machine learning for predicting treatment outcomes in female genital schistosomiasis and HIV co-morbidity: a narrative review and translational framework
2026
·
David Chinaecherem Innocent
, Rejoicing Chijindum Innocent
, et al.
·
Frontiers in Tropical Diseases
PDF
Convolutional neural networks for medical imaging in resource-constrained settings: a scoping review of architectures, performance, and deployment challenges
2026
·
David Chinaecherem Innocent
, Rejoicing Chijindum Innocent
, et al.
·
Frontiers in Artificial Intelligence
PDF
Machine learning models in predicting antimicrobial resistance in gonorrhea: a systematic review and meta-analysis
2026
·
David Chinaecherem Innocent
, Rejoicing Chijindum Innocent
, et al.
·
Frontiers in Public Health
PDF
Framework for developing explainable artificial intelligence models for neglected tropical disease diagnosis in low-resource settings
2026
·
David Chinaecherem Innocent
, Rejoicing Chijindum Innocent
, et al.
·
Frontiers in Digital Health
PDF
Explainable AI for differential diagnosis of skin-manifesting neglected tropical diseases (NTDS) in darker skin tones
2026
·
David Chinaecherem Innocent
, Precious Ebube Anyakorah
, et al.
·
BMC Artificial Intelligence
PDF
Impact of HIV infection on clinical presentation and diagnostic delay of skin neglected tropical diseases: a systematic review and meta-analysis
2026
·
David Chinaecherem Innocent
, Rejoicing Chijindum Innocent
, et al.
·
Frontiers in Tropical Diseases
PDF
Balancing rigor and pragmatism in health research: a guide to choosing study designs for real-world settings
2026
·
David Chinaecherem Innocent
, Rejoicing Chijindum Innocent
, et al.
·
BMC Medical Research Methodology
Climate-driven disruptions in local food systems and the transmission pathways of food-borne neglected tropical diseases in Sub-Saharan Africa: a scoping review
2026
·
David Chinaecherem Innocent
, Chinaza Maryclare Akuana
, et al.
·
BMC Public Health
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Works count:
12
Citation count:
1
H-index:
1
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