October 17, 2018

Natural Language Processing to Assess End-of-Life Quality Indicators in Cancer Patients Receiving Palliative Surgery

Puntos clave

Los puntos clave no están disponibles para este artículo en este momento.

Resumen

NLP offers opportunities to identify patients receiving palliative surgical procedures and can rapidly assess established end-of-life process measures with an accuracy approaching that of human coders.

Preguntar a la IA

Me gusta

Guardar

Cite This Study

Lindvall et al. (Wed,) studied this question.

synapsesocial.com/papers/69d9c5683e67f8d1386842bb https://doi.org/https://doi.org/10.1089/jpm.2018.0326

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Cancer Quality‐ASSIST supportive oncology quality indicator set2010 · 81 citations
2Measuring Processes of Care in Palliative Surgery2017 · 55 citations
3The Inevitable Application of Big Data to Health Care2013 · 1,678 citations
4Surgical Palliation at a Cancer Center2001 · 103 citations
5Optimal assessment of residual disease after neo‐adjuvant therapy for locally advanced and inflammatory breast cancer—clinical examination, mammography, or magnetic resonance imaging?2010 · 37 citations

Preguntar a la IA

Me gusta

Guardar