|Table of Contents|

A new technique for predicting the death risk of rectal cancer patients—machine learning combined with medical statistics

Journal Of Modern Oncology[ISSN:1672-4992/CN:61-1415/R]

Issue:
2023 19
Page:
3621-3625
Research Field:
Publishing date:

Info

Title:
A new technique for predicting the death risk of rectal cancer patients—machine learning combined with medical statistics
Author(s):
CAO Yuxing; TIAN Long; WANG Chenyu
Department of Radiotherapy，the First Affiliated Hospital of Hebei Northern University,Hebei Zhangjiakou 075000,China.
Keywords:
machine learning; medical statistics; rectal cancer; death; forecast
PACS:
R735.3
DOI:
10.3969/j.issn.1672-4992.2023.19.016
Abstract:
Objective:To evaluate the feasibility and value of applying machine learning(ML) based on FP-Growth and Apriori algorithms combined with medical statistics based on Logistic regression analysis in predicting the risk of death for rectal cancer patients.Methods:1 704 young and middle-aged patients with rectal cancer who were diagnosed and treated in our hospital from January 2008 to January 2018 were selected,including 324 patients(19.01%) who died within 5 years.The information of the patients was collected for prospective study.The FP-Growth and Apriori algorithm program was compiled.The effective strong association rules between the information of dead patients were calculated through ML.The independent risk factors leading to death were analyzed through Logistic regression.The application feasibility of ML was verified referring to the medical statistical prediction results.The application value of ML combined with medical statistics was evaluated.Results:9 effective strong association rules between information of dead patients were obtained through ML calculation.The first items included age(50~59 years old),gender(male),CEA(≥ 5 μg/L),tumor size(>5 cm3),histological differentiation(poorly differentiated),N-stage(N2),number of distal metastatic lesions(≥ 3),surgery(surgery for distal metastatic lesions).Except for the lack of "Stage" and "number of metastatic lymph node ",the ML result was highly consistent with the that of medical statistics.Based on the feasibility and operability of the application of ML,combining medical statistics made the prediction result more logical.Conclusion:ML combined with medical statistics can be used to predict the risk of death for young and middle-aged rectal cancer patients.This technique has certain application and promotion value.

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Memo

Memo:
河北省张家口市重点研发计划项目（编号：2121182D）
Last Update: 2023-08-31