Machine Learning Risk Factors for Blood Transfusion After Hip Arthroplasty in Fracture Neck Femur Patients

Authors

  • Polasan Santanapipatkul M.D., Samutsakhon Hospital

Keywords:

machine learning, risk factor, fracture neck of femur, hip arthroplasty

Abstract

          Objective: The purpose is to study risk factors for blood transfusion in hip arthroplasty in fracture neck of femur patients by machine learning.

          Method: This is a retrospective study by collecting the data of fracture neck of femur patients underwent hip arthroplasty surgery at Samutsakhorn Hospital from 2015 to 2020 A.D. ;  232 patients were analysed.

          Result: Male, CKD, cemented prostheses increase risk for blood transfusion significantly. According to machine learning male, CKD, ischemic heart disease,cemented prostheses , ASA are important factor for predict risk for blood transfusion

Conclusion: In patients with risk factors, modified risk factors will decrease risk of blood transfusion also reduce cost and complication, form blood transfusion

References

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Published

2021-09-27

How to Cite

1.
Santanapipatkul P. Machine Learning Risk Factors for Blood Transfusion After Hip Arthroplasty in Fracture Neck Femur Patients. Reg 4-5 Med J [internet]. 2021 Sep. 27 [cited 2026 Jan. 1];40(3):381-8. available from: https://he02.tci-thaijo.org/index.php/reg45/article/view/253918

Issue

Vol. 40 No. 3 (2021): Region 4-5 Medical Journal Vol.40 No.3 July - September 2021

Section

Original Article

License

ลิขสิทธิ์บทความเป็นของผู้เขียนบทความ แต่หากผลงานของท่านได้รับการพิจารณาตีพิมพ์ลงวารสารแพทย์เขต 4-5 จะคงไว้ซึ่งสิทธิ์ในการตีพิมพ์ครั้งแรกด้วยเหตุที่บทความจะปรากฎในวารสารที่เข้าถึงได้ จึงอนุญาตให้นำบทความในวารสารไปใช้ประโยชน์ได้ในเชิงวิชาการโดยจำเป็นต้องมีการอ้างอิงถึงชื่อวารสารอย่างถูกต้อง แต่ไม่อนุญาตให้นำไปใช้ในเชิงพาณิชย์