Developing a risk stratification tool for audit of outcome after surgery for head and neck squamous cell carcinoma

Author:

Tighe David F.1ORCID,Thomas Alan J.2,Sassoon Isabel3,Kinsman Robin4,McGurk Mark5

Affiliation:

1. Royal Marsden NHS Foundation Trust; London London United Kingdom

2. University of Brighton, School of Computer Engineering and Mathematics; Brighton East Sussex United Kingdom

3. Department of Informatics; King's College London School of Medical Education; London United Kingdom

4. Dendrite Clinical Systems; Henley-on-Thames United Kingdom

5. Department of Oral and Maxillofacial Surgery; Guy's and St Thomas' NHS Trust; London United Kingdom

Publisher

Wiley

Subject

Otorhinolaryngology

Reference14 articles.

1. A national analysis of the outcome of major head and neck cancer surgery: implications for surgeon-level data publication;Nouraei;Clin Otolaryngol.,2013

2. Identification of appropriate outcome indices in head and neck cancer and factors influencing them;Tighe;Int J Oral Maxillofac Surg.,2014

3. Validating a benchmarking tool for audit of early outcomes after operations for head and neck cancer;Tighe;Ann R Coll Surg Engl.,2016

4. Essentials of machine learning algorithms (with Python and R codes) http://www.analyticsvidhya.com/blog/2015/08/common-machine-learning-algorithms/

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