Data Deposition for "Optimal policy determination in sequential systemic and locoregional therapy of oropharyngeal squamous carcinomas: A patient-physician digital twin dyad with deep Q-learning "

The dataset includes 536 oropharyngeal squamous cell carcinoma (OPC) patients treated at MDACC between 2005 and 2013.

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Bibliographische Detailangaben
Hauptverfasser:	Tardini, Elisa, Zhang, Xinhua, Canahuate, Guadalupe, Wentzel, Andrew, Mohamed, Abdallah, van Dijk, Lisanne, Fuller, Clifton (Dave), Marai, G. Elisabeta
Format:	Dataset
Sprache:	eng
Schlagworte:	Applied computing not elsewhere classified Cancer therapy (excl. chemotherapy and radiation therapy) Chemotherapy Dental therapeutics, pharmacology and toxicology Health care administration Knowledge representation and reasoning Modelling and simulation Oncology and carcinogenesis not elsewhere classified Oral medicine and pathology Other biomedical and clinical sciences not elsewhere classified Other engineering not elsewhere classified Other health sciences not elsewhere classified Otorhinolaryngology Radiation therapy Radiology and organ imaging Solid tumours Sport and exercise nutrition Surgery
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Beschreibung
Zusammenfassung:	The dataset includes 536 oropharyngeal squamous cell carcinoma (OPC) patients treated at MDACC between 2005 and 2013.
DOI:	10.6084/m9.figshare.13235453