Dr. David Riaño (director)
Email: david.riano@urv.net
Web: http://banzai-deim.urv.net/~riano/
Tf: +34 977 559 657
Fax. +34 977 559 710
Summary: He is working in the application of machine learning, intelligent data analysis, and knowledge representation technologies in the field of health care, where procedural knowledge is induced from hospital databases and domain ontologies.
David Cuadrado (PhD student)
Summary: He is working in the analysis of ICU data in order to predict the days to discharge of patients with machine learning technologies. He works on the definition of patient heterogeneity in ICUs, ICU patient phenotypes, and prediction.
Mohammed Gamal (PhD student)
Francesc Xavier Mallafré (Collaborator)
Email: francescxavier.mallafre@urv.cat
Tf: +34 977 558 516
Summary: He is an expert in Data Bases and Information Systems.
Susana Prado (Collaborator)
Email: susana.prado@ieci.es
Tf: +34 977 558 516
Summary: She's an expert in Health Care projects.
Former Members
Wilfrido Ortega
Former PhD Student
Dr. José Ramón Alonso "jota"
Former Collaborator
Summary: Dr. Alonso is a Physician at the Emergency Department of the Hospical Clínic de Barcelona and he provides support in the area of Health-Care Learning ICT Tools within the Banzai Group.
Dr. Antoni Collado
Former Collaborator
Summary:
Dr. Collado is a General
Practitioner of the SAGESSA Health Care Group that provides support and
medical background to the Banzai Group.
Francis Real
PhD Thesis
Summary: Dr. Francis Real obtained his PhD in Computer Science (Universitat Rovira i Virgili, Spain) in the use of decision tables to represent the knowledge about clinical diagnosis, therapeutic procedures, and prognosis. His models were applied to the training of clinical residents of the Emergency Department at the Clinical Hospital of Barcelona. Two were the prarticular areas of application: the training in the differential diagnosis of secondary causes of hypertension and essential hipertension, and the training in the emergency management of patients in shock (7 different shocks were considered: septic, anaphylaptoid, cardiac taponade, etc.). His software also implemented long term patient simulation.
Aida Kamišalić
PhD Thesis
Summary: Dr. Aida Kamisalic obtained his PhD in Computer Science (University of Maribor, Slovenia) in the combined integration of health care knowledge about clinical process strategies, drug titration, and interaction management. She also suggested two models to represent time knowledge in clinical processes: micro-temporality, and macro-temporality.
Joan Albert López-Vallverdú
PhD Thesis
Summary: Dr. Joan-Albert López-Vallverdú obtained his PhD in Computer Science (Universitat Rovira i Virgili, Spain) in the application of incremental machine learning techniques to induce Clinical Algorithms from clinical data about episodes of care. His technologies were applied to the derivation of experience-based clinical algorithms for several chronic diseases while managed in primary care (SAGESSA): hypertension, diabetes, and chronic heart failure.
John A. Bohada
PhD Thesis
Summary: Dr. John A. Bohada obtained his PhD in Computer Science (Univesitat Politecnica de Catalunya, Spain) in the implementation and integration of unsupervised and supervised machine learning algorithms to construct SDA structures (standing for State, Decision, and Action structures) to represent the clinical actions performed in health care centers whose data were stored in clinical information systems, and therefore allowing the retrospective analysis of long term clinical actions and the quality analysis in terms of comparing them with clinical guideline standards, protocols, and pathways.