PeNLP parser: an extraction and visualization tool for precise maternal, neonatal and child healthcare geo-locations from unstructured data PU Usip, ME Ekpenyong, FF Ijebu, KJ Usang, IJ Udo Deep Learning in Biomedical and Health Informatics, 157-181, 2021 | 3 | 2021 |
Integrated context-aware ontology for MNCH decision support PU Usip, ME Ekpenyong, FF Ijebu, KJ Usang Semantic Models in IoT and eHealth Applications, 227-243, 2022 | 2 | 2022 |
Curating maternal, neonatal and child health (MNCH) datasets from a hospital’s catchment area in Nigeria between 2014 and 2019 ME Ekpenyong, PU Usip, KJ Usang, NM Umoh, SB Oyong, CO Nwokoro, ... F1000Research 11, 166, 2023 | | 2023 |
Curating maternal, neonatal and child health (MNCH) datasets for spatiotemporal data analytics ME Ekpenyong, PU Usip, KJ Usang, NM Umoh, SB Oyong, CO Nwokoro, ... | | 2022 |