AN INTELLIGENT POSTOPERATIVE CHRONIC PAIN PREDICTION  SYSTEM (I-POCPP)

KARTAL, ELİF; KOÇOĞLU, FATMA; ÖZEN, ZEKİ; EMRE, İLKİM; SUTAŞ BOZKURT, AYŞE; GÜNGÖR, GÜRCAN

doi:10.26650/iuitfd.972738

AN INTELLIGENT POSTOPERATIVE CHRONIC PAIN PREDICTION SYSTEM (I-POCPP)

Atıf İçin Kopyala

KARTAL E., KOÇOĞLU F. Ö., ÖZEN Z., EMRE İ. E., SUTAŞ BOZKURT A. P., GÜNGÖR G.

JOURNAL OF ISTANBUL FACULTY OF MEDICINE-ISTANBUL TIP FAKULTESI DERGISI, cilt.0, 2022 (ESCI)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 0
Basım Tarihi: 2022
Doi Numarası: 10.26650/iuitfd.972738
Dergi Adı: JOURNAL OF ISTANBUL FACULTY OF MEDICINE-ISTANBUL TIP FAKULTESI DERGISI
Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, TR DİZİN (ULAKBİM)
Anahtar Kelimeler: Postoperative Chronic Pain, Machine Learning, Classification, Decision Support System, MACHINE
Marmara Üniversitesi Adresli: Evet

Özet

Objective: Postoperative Chronic Pain (POCP) affects the quality of patients' lives. Machine learning and its applications provide significant contributions to pain research. The aim of this study is to predict the POCP status of patients based on perioperative data by developing an "Intelligent POCP Prediction System (I-POCPP)" using the best performing machine learning algorithm.