机器学习用于预测恶性转变在行动性炎:基于人口和临床描述符的预后支持系统
Ivan José Correia-Neto1, Alex Franco da Costa2, Anna Luíza Damaceno Araújo3,4
1Departamento de Diagnóstico Oral, Faculdade de Odontologia de Piracicaba, Universidade Estadual de Campinas (FOP-UNICAMP), Piracicaba, São Paulo, Brazil.
概括
机器学习模型可以预测行为性炎 (AC) 中的恶性转变. 极度梯度提升模型实现了高精度,有助于早期检测和患者监测.
科学领域:
- 在瘤学瘤学.
- 皮肤病学 皮肤病学
- 人工智能的人工智能
背景情况:
- 动性炎 (AC) 是一种癌前疾病,有恶性转变 (MT) 的风险.
- 准确的MT预测对于及时干预和改善患者结果至关重要.
研究的目的:
- 开发和评估机器学习 (ML) 模型,用于预测AC患者的MT.
- 确定恶性转变的关键临床和人口预测因素.
主要方法:
- 利用了340名被诊断患有AC的患者的数据集.
- 雇佣了自适应合成抽样,以平衡ML模型培训的数据集.
- 通过5倍交叉验证,训练并验证了四个监督的ML分类器 (随机森林,Xtreme梯度提升,多层感知器,支持矢量机).
- 应用SHAP值来确定MT最有影响力的预测指标.
主要成果:
- 极端梯度增强 (XGBoost) 模型表现出高性能,精度为96.72%,灵敏度为96.87%,AUC为0.9498.
- 多层感知器 (MLP) 获得了最高的灵敏度 (98.44%),而随机森林显示了类似的结果.
- ,多焦点和长期的病变被确定为MT的显著预测因素.
- 与其他模型相比,支持矢量机 (SVM) 的性能较低.
结论:
- XGBoost和MLP模型显示出作为监测AC患者的决策支持工具的巨大潜力.
- 合成数据增强增强了模型的稳定性和预测准确性.
- 这些发现可以帮助临床医生识别需要更密切监测的高风险AC病变.
更多相关视频
相关概念视频
Actin Treadmilling
9.6K
Actin filaments undergo polymerization and depolymerization from either end. The polymerization and depolymerization rates depend on the cytosolic concentration of free G-actins. The polymerization rate is generally higher at the plus or barbed end, while the depolymerization rate is higher at the minus or pointed end. At a steady state, critical concentration describes the concentration of free G-actin monomers at which the polymerization rate at the plus end is equal to that of the...
9.6K
Predicting Molecular Geometry
45.4K
VSEPR Theory for Determination of Electron Pair Geometries
45.4K
Bacterial Transformation
59.5K
In 1928, bacteriologist Frederick Griffith worked on a vaccine for pneumonia, which is caused by Streptococcus pneumoniae bacteria. Griffith studied two pneumonia strains in mice: one pathogenic and one non-pathogenic. Only the pathogenic strain killed host mice.
Griffith made an unexpected discovery when he killed the pathogenic strain and mixed its remains with the live, non-pathogenic strain. Not only did the mixture kill host mice, but it also contained living pathogenic bacteria that...
Griffith made an unexpected discovery when he killed the pathogenic strain and mixed its remains with the live, non-pathogenic strain. Not only did the mixture kill host mice, but it also contained living pathogenic bacteria that...
59.5K
Machines
559
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
A free-body diagram of the...
559
Self-Help Support Groups
332
Self-help support groups are voluntary, community-based organizations that provide a platform for individuals with shared concerns to exchange support, insights, and practical strategies for coping with life challenges. Typically led by group members or paraprofessionals, these groups form a cornerstone of mental health care, especially in reaching populations that are underserved by traditional healthcare systems.
Accessibility and Cost-Effectiveness
One of the primary strengths of self-help...
Accessibility and Cost-Effectiveness
One of the primary strengths of self-help...
332
Machines: Problem Solving II
649
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
649


