A Novel Multi-Dimensional Clinical Response Index Dedicated to Improving Global Assessment of Pain in Patients with Persistent Spinal Pain Syndrome after Spinal Surgery, Based on a Real-Life Prospective Multicentric Study (PREDIBACK) and Machine Learning Techniques

I tiakina i:

Ngā taipitopito rārangi puna kōrero
I whakaputaina i:	Journal of Clinical Medicine vol. 10, no. 21 (2021), p. 4910
Kaituhi matua:	Rigoard, Philippe
Ētahi atu kaituhi:	Ounajim, Amine, Goudman, Lisa, Pierre-Yves, Louis, Slaoui, Yousri, Roulaud, Manuel, Naiditch, Nicolas, Bouche, Bénédicte, Page, Philippe, Lorgeoux, Bertille, Baron, Sandrine, Charrier, Elodie, Poupin, Laure, Rannou, Delphine, Géraldine Brumauld de Montgazon, Roy-Moreau, Brigitte, Grimaud, Nelly, Adjali, Nihel, Nivole, Kevin, Many, Mathilde, Romain, David, Wood, Chantal, Rigoard, Raphael, Moens, Maarten, Billot, Maxime
I whakaputaina:	MDPI AG
Ngā marau:	Patients Machine learning Quality of life Pain Spinal cord Back surgery Questionnaires Anxiety Artificial intelligence
Urunga tuihono:	Citation/Abstract Full Text + Graphics Full Text - PDF
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Me noho koe te mea tuatahi ki te waiho tākupu!