Preferences of Pediatric Oncology Patients and Caregivers on the Availability of Patient Results in an Online Patient Portal [0.03%]
儿童肿瘤学患者和护理人员对在线患者门户中提供患者结果的偏好研究
Aryan Patel,Ian Kawpeng,Renee Potashner et al.
Aryan Patel et al.
Purpose: Access to cancer-related data in online patient portals is not uniform. Perspectives of pediatric patients with cancer and caregivers on their desires and experiences accessing cancer-related data via an online p...
Development of a Machine Learning Algorithm to Predict Abnormalities in Serum Phosphate in a Large Oncology Cohort [0.03%]
开发一种机器学习算法，用于预测大型肿瘤患者队列中血清磷的异常值
Lauren A Scanlon,Phillip J Monaghan,Safwaan Adam
Lauren A Scanlon
Purpose: Serum phosphate is commonly measured in oncology patients because of the relationship between oncologic conditions and treatments with abnormal phosphate. All patients attending our institution, a large specialis...
Machine Learning Models of Early Longitudinal Toxicity Trajectories Predict Cetuximab Concentration and Metastatic Colorectal Cancer Survival in the Canadian Cancer Trials Group/AGITG CO.17/20 Trials [0.03%]
加拿大癌症试验组/澳大利亚胃肠道肿瘤试验组(COGT/AGITG)CO.17/20试验中，机器学习模型可预测西妥昔单抗浓度和转移性结直肠癌生存率的早期纵向毒性轨迹
Danielle Lilly Nicholls,Maria C Xu,Luna Zhan et al.
Danielle Lilly Nicholls et al.
Purpose: Cetuximab (CET), targeting the epidermal growth factor receptor, is a systemic treatment option for patients with colorectal cancer. One known predictive factor for CET efficacy is the presence of CET-related ras...
Clinician and Patient Perspectives on a Patient-Facing Online Breast Cancer Symptom Visualization Tool [0.03%]
医生和患者对面向患者的在线乳腺癌症状可视化工具的看法
Gillian Gresham,Michael Luu,N Lynn Henry et al.
Gillian Gresham et al.
Purpose: Endocrine treatments for patients with hormone-sensitive breast cancer are associated with significant side effects that can negatively affect health-related quality of life and result in treatment discontinuatio...
Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in Advanced Melanoma: A Pilot Study for Personalizing Cancer Care [0.03%]
使用真实世界数据和机器学习算法预测晚期黑色素瘤治疗反应的试点研究：用于个性化癌症护理的研究
Richard M Brohet,Elianne C S de Boer,Joram M Mossink et al.
Richard M Brohet et al.
Purpose: The use of real-world data (RWD) in oncology is becoming increasingly important for clinical decision making and tailoring treatment. Despite the significant success of targeted therapy and immunotherapy in advan...
Creating a Proxy for Baseline Eastern Cooperative Oncology Group Performance Status in Electronic Health Records for Comparative Effectiveness Research in Advanced Non-Small Cell Lung Cancer [0.03%]
基于电子健康记录创建比较效果研究的晚期非小细胞肺癌Eastern Cooperative Oncology Group体能状态基线值代理指标
Michael Johnson,Peining Tao,Mehmet Burcu et al.
Michael Johnson et al.
Purpose: Eastern Cooperative Oncology Group performance status (ECOG PS) is a key confounder in comparative effectiveness research, predicting treatment and survival, but is often incomplete in electronic health records (...
Impact of Tumor Location on Predicting Early-Stage Breast Cancer Patient Survivability Using Explainable Machine Learning Models [0.03%]
肿瘤位置对使用可解释机器学习模型预测早期乳腺癌患者生存率的影响
Nader Abdalnabi,Abdulmateen Adebiyi,Ahmad Alhonainy et al.
Nader Abdalnabi et al.
Purpose: This study aims to investigate the impact of tumor quadrant location on the 5-year early-stage breast cancer survivability prediction using explainable machine learning (ML) models. By integrating these predictiv...
Advancing AI for Predicting Lung Cancer-Related Immunotherapy Complications [0.03%]
推进人工智能在预测肺癌相关免疫治疗并发症方面的应用
Hossam A Zaki,Aaron W P Maxwell,Zhicheng Jiao
Hossam A Zaki
Risk Stratification for Sentinel Lymph Node Positivity in Older Women With Early-Stage Estrogen Receptor-Positive/Human Epidermal Growth Factor Receptor 2 Neu-Negative Invasive Breast Cancer [0.03%]
绝经后妇女早期雌激素受体阳性/人表皮生长因子受体2阴性浸润性乳腺癌的前哨淋巴结风险分层
Ton Wang,Drew Neish,Samantha M Thomas et al.
Ton Wang et al.
Purpose: Guidelines recommend omission of sentinel lymph node biopsy (SLNB) for axillary staging in select patients age 70 years and older with early-stage estrogen receptor-positive (ER+), human epidermal growth factor r...
Leveraging Digital Technology to Enhance Mind-Body Approaches in Cancer Treatment [0.03%]
利用数字技术提升癌症治疗中的身心方法
Pierre Heudel,Céline Ubelmann
Pierre Heudel
Purpose: Cancer treatment involves significant psychological and emotional challenges. Conventional therapies often diminish quality of life, exacerbating stress, anxiety, and depression. Mind-body practices, such as soph...