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Researcher
Felipe Kenji Nakano
- Disciplines:Laboratory medicine, Palliative care and end-of-life care, Regenerative medicine, Other basic sciences, Other health sciences, Nursing, Other paramedical sciences, Other translational sciences, Other medical and health sciences
Affiliations
- Public Health and Primary Care, Kulak Kortrijk Campus (Department)
Member
From15 Oct 2018 → Today
Projects
1 - 3 of 3
- Explainable machine learning for reproductive medicineFrom22 Aug 2024 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Novel tree-ensemble based methods for weakly-supervised structured output prediction with applications in biomedicineFrom1 Oct 2023 → TodayFunding: FWO junior postdoctoral fellowship
- Interpretable predictive models for biomedical applications with structured outputsFrom16 Oct 2018 → 14 Nov 2022Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 16
- Development and validation of a machine learning model for early prediction of intensive care unit acquired weakness (vol 13, 98, 2025)(2025)Published in: Intensive Care Medicine ExperimentalISSN: 2197-425XIssue: 1Volume: 13
- Development and validation of a machine learning model for early prediction of intensive care unit acquired weakness(2025)Published in: Intensive Care Medicine ExperimentalISSN: 2197-425XIssue: 1Volume: 13
- Enhancing individual glomerular filtration rate assessment: can we trust the equation? Development and validation of machine learning models to assess the trustworthiness of estimated GFR compared to measured GFR(2025)Published in: BMC NephrologyISSN: 1471-2369Issue: 1Volume: 26
- Comparison between the EKFC-equation and machine learning models to predict Glomerular Filtration Rate(2024)Published in: Scientific ReportsISSN: 2045-2322Issue: 1Volume: 14
- Predicting adverse long-term neurocognitive outcomes after pediatric intensive care unit admission(2024)Published in: Computer Methods and Programs in BiomedicineISSN: 0169-2607Volume: 250
- Deep Forests with Tree-Embeddings and Label Imputation for Weak-Label Learning(2024)Pages: 1 - 8Number of pages: 8
- Online Extra Trees Regressor(2023)Published in: IEEE Transactions on Neural Networks and Learning SystemsISSN: 2162-237XIssue: 10Volume: 34
- PT-MESS: a Problem-Transformation approach for Multi-Event Survival analySis(2023)Number of pages: 6
- Leveraging class hierarchy for detecting missing annotations on hierarchical multi-label classification(2022)Published in: Computers in Biology and MedicineISSN: 0010-4825Volume: 152
- Interpretable predictive models for biomedical applications with structured outputs(2022)