35 results on '"Barbara Di Camillo"'
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2. Characterization of Chronic Kidney Disease Progression in Patients with Diabetes via Group-Based Multi-Trajectory Modeling.
3. Unveiling Trustworthy AI Challenges: Characterizing Prediction Reliability.
4. Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024.
5. Using Wearable and Environmental Data to Improve the Prediction of Amyotrophic Lateral Sclerosis and Multiple Sclerosis Progression: an Explorative Study.
6. Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge.
7. iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge.
8. Investigating the Dynamics of Cardio-Metabolic Comorbidities and Their Interactions in Ageing Adults Through Dynamic Bayesian Networks.
9. Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023.
10. DAVI: A Dataset for Automatic Variant Interpretation.
11. Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.
12. Baseline Machine Learning Approaches To Predict Multiple Sclerosis Disease Progression.
13. iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.
14. Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis.
15. Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022.
16. Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression.
17. Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge.
18. Explainable Deep-Learning Model Reveals Past Cardiovascular Disease in Patients with Diabetes Using Free-Form Visit Reports.
19. Comparing the Predictive Power of Heart Failure Hospitalisation Risk Scores in the Diabetic Outpatient Clinic and Primary Care Settings.
20. A Dynamic Bayesian Network model for simulating the progression to diabetes onset in the ageing population.
21. Predicting hypertension onset using logistic regression models with labs and/or easily accessible variables: the role of blood pressure measurements.
22. Recurrent Neural Network to Predict Renal Function Impairment in Diabetic Patients via Longitudinal Routine Check-up Data.
23. Detecting Undiagnosed Diabetes: Proof-of-Concept Based on the Health-Information Exchange System of the Veneto Region (North-East Italy).
24. Importance of Recalibrating Models for Type 2 Diabetes Onset Prediction: Application of the Diabetes Population Risk Tool on the Health and Retirement Study.
25. Interpolation and K-Nearest Neighbours Combined Imputation for Longitudinal ICU Laboratory Data.
26. Deep convolutional neural network for survival estimation of Amyotrophic Lateral Sclerosis patients.
27. A Bayesian Network analysis of the probabilistic relations between risk factors in the predisposition to type 2 diabetes.
28. Modeling HPV early promoter regulation.
29. A Bayesian Network for Probabilistic Reasoning and Imputation of Missing Risk Factors in Type 2 Diabetes.
30. Minimizing Time When Applying Bootstrap to Contingency Tables Analysis of Genome-Wide Data.
31. Qualitative Reasoning on Systematic Gene Perturbation Experiments.
32. Retrovirus HTLV-1 Gene Circuit: A Potential Oscillator for Eukaryotes.
33. On the Difficulty of Inferring Gene Regulatory Networks: A Study of the Fitness Landscape Generated by Relative Squared Error.
34. Discriminant functional gene groups identification with machine learning and prior knowledge.
35. IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2019, Siena, Italy, July 9-11, 2019
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