Analytical exploratory tool for healthcare professionals to monitor cancer patients' progress.

Valero-Ramon, Zoe; Fernandez-Llatas, Carlos; Collantes, Gonzalo; Valdivieso, Bernardo; Billis, Antonis; Bamidis, Panagiotis; Traver, Vicente

Valero-Ramon, Zoe; Fernandez-Llatas, Carlos; Collantes, Gonzalo; Valdivieso, Bernardo; Billis, Antonis; Bamidis, Panagiotis; Traver, Vicente.

Afiliación

Valero-Ramon Z; Institute of Information and Communication Technologies - Technological Innovation for Health and Well-being (ITACA-SABIEN), Universitat Politècnica de València, Valencia, Spain.
Fernandez-Llatas C; Institute of Information and Communication Technologies - Technological Innovation for Health and Well-being (ITACA-SABIEN), Universitat Politècnica de València, Valencia, Spain.
Collantes G; Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden.
Valdivieso B; Medical Research Institute, Hospital La Fe, Valencia, Spain.
Billis A; Medical Research Institute, Hospital La Fe, Valencia, Spain.
Bamidis P; Lab of Medical Physics and Digital Innovation, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Traver V; Lab of Medical Physics and Digital Innovation, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.

Front Oncol ; 12: 1043411, 2022.

Article en En | MEDLINE | ID: mdl-36698423

Palabras clave

analytical; cancer; decision support; exploratory tools; interactive; patients' progress; process mining for healthcare

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Oncol Año: 2022 Tipo del documento: Article País de afiliación: España Pais de publicación: Suiza

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