671 results on '"Riaño, David"'
Search Results
2. Sub-daily live fuel moisture content estimation from Himawari-8 data
3. An Ontology to Support Automatic Drug Dose Titration
4. Modelling and Assessment of One-Drug Dose Titration
5. ICU Days-to-Discharge Analysis with Machine Learning Technology
6. Author Correction: Globe-LFMC, a global plant water status database for vegetation ecophysiology and wildfire applications.
7. Globe-LFMC, a global plant water status database for vegetation ecophysiology and wildfire applications.
8. Spectral mapping methods applied to LiDAR data: Application to fuel type mapping
9. Modelling and assessing one- and two-drug dose titrations
10. Global fuel moisture content mapping from MODIS
11. The effect of pixel heterogeneity for remote sensing based retrievals of evapotranspiration in a semi-arid tree-grass ecosystem
12. Methods and measures to quantify ICU patient heterogeneity
13. Pursuing Optimal Prediction of Discharge Time in ICUs with Machine Learning Methods
14. An Ontology to Support Automatic Drug Dose Titration
15. Evaluating the potential of LiDAR data for fire damage assessment: A radiative transfer model approach
16. Architecture of a Telemonitoring System for the Mobility of the Elderly in Wheelchairs Supported by Internet of Things Technologies as a Component of a Smart City
17. Modelling ICU Patients to Improve Care Requirements and Outcome Prediction of Acute Respiratory Distress Syndrome: A Supervised Learning Approach
18. Novel criteria to classify ARDS severity using a machine learning approach
19. Persistence of data-driven knowledge to predict breast cancer survival
20. Ten years of knowledge representation for health care (2009–2018): Topics, trends, and challenges
21. Simulation-Based Episodes of Care Data Synthetization for Chronic Disease Patients
22. Multi-level medical knowledge formalization to support medical practice for chronic diseases
23. Modelling and Assessment of One-Drug Dose Titration
24. ICU Days-to-Discharge Analysis with Machine Learning Technology
25. Predicting Intensive Care Unit Patients’ Discharge Date with a Hybrid Machine Learning Model That Combines Length of Stay and Days to Discharge
26. A fuel moisture content and flammability monitoring methodology for continental Australia based on optical remote sensing
27. Improving resident's skills in the management of circulatory shock with a knowledge-based e-learning tool
28. Formalization and acquisition of temporal knowledge for decision support in medical processes
29. A Patient Simulation Model Based on Decision Tables for Emergency Shocks
30. Computer technologies to integrate medical treatments to manage multimorbidity
31. Training Residents in the Application of Clinical Guidelines for Differential Diagnosis of the Most Frequent Causes of Arterial Hypertension with Decision Tables
32. Exploiting the Relation Between Environmental Factors and Diseases: A Case Study on Chronic Obstructive Pulmonary Disease
33. Rule-Based Combination of Comorbid Treatments for Chronic Diseases Applied to Hypertension, Diabetes Mellitus and Heart Failure
34. A Community-of-Practice-based Evaluation Methodology for Knowledge Intensive Computational Methods and its Application to Multimorbidity Decision Support
35. Detecting Dominant Alternative Interventions to Reduce Treatment Costs
36. A Systematic Analysis of Medical Decisions: How to Store Knowledge and Experience in Decision Tables
37. New approaches in multi-angular proximal sensing of vegetation: Accounting for spatial heterogeneity and diffuse radiation in directional reflectance distribution models
38. Inducing Decision Trees from Medical Decision Processes
39. Ontology-Based Retrospective and Prospective Diagnosis and Medical Knowledge Personalization
40. A Knowledge-Management Architecture to Integrate and to Share Medical and Clinical Data, Information, and Knowledge
41. From Natural Language Descriptions in Clinical Guidelines to Relationships in an Ontology
42. An Autonomous Algorithm for Generating and Merging Clinical Algorithms
43. Automatic Combination of Formal Intervention Plans Using SDA* Representation Model
44. Generating Macro-Temporality in Timed Transition Diagrams
45. Mining Hospital Data to Learn SDA* Clinical Algorithms
46. Pursuing Optimal Prediction of Discharge Time in ICUs with Machine Learning Methods
47. Modelling ICU Patients to Improve Care Requirements and Outcome Prediction of Acute Respiratory Distress Syndrome: A Supervised Learning Approach
48. Canopy clumping appraisal using terrestrial and airborne laser scanning
49. Applications of Airborne Laser Scanning in Forest Fuel Assessment and Fire Prevention
50. An Algorithm for Guideline Transformation: From BPMN to SDA
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