日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Predicting lung cancer stage at diagnosis based on self-reported symptoms and background factors using machine learning models

利用机器学习模型,根据患者自述症状和背景因素预测肺癌诊断时的分期

Gustavell, Tina; Sissala, Noora; Pernemalm, Maria; Babačić, Haris; Eriksson, Lars E

Hypoalbuminemia as a prognostic marker for survival in biliary tract cancer: associations with tumor type, treatment and sex

低白蛋白血症作为胆道癌生存预后标志物:与肿瘤类型、治疗和性别的关联

Abdulrazzak, Mostafa; Björkhem-Bergman, Linda; Villard, Christina; Gerling, Marco; Gustavell, Tina; Jansson, Hannes

Nurses' perceptions of a digital supportive intervention for patients with breast cancer receiving neoadjuvant chemotherapy: a qualitative study

护士对接受新辅助化疗的乳腺癌患者的数字化支持干预的看法:一项定性研究

Rooth, Kristina; Sundberg, Kay; Gellerstedt, Linda; Gustavell, Tina; Langius-Eklöf, Ann; Fjell, Maria

Digital and nurse-led support intervention in primary care during the first year after curative intent treatment for breast or prostate cancer: study protocol of two cluster randomised controlled pilot trials

在乳腺癌或前列腺癌根治性治疗后第一年,初级保健中由护士主导的数字化支持干预措施:两项整群随机对照试点试验的研究方案

Langius-Eklöf, Ann; Craftman, Åsa G; Gellerstedt, Linda; Kelmendi, Nazmije; Rooth, Kristina; Gustavell, Tina; Sundberg, Kay

Nurses' Experiences Using an Interactive System to Assess and Manage Treatment-Related Symptoms of Patients With Pancreatic Cancer: Interview Study

护士使用交互式系统评估和管理胰腺癌患者治疗相关症状的经验:访谈研究

Mangsbacka, Maria; Gustavell, Tina

Using an Interactive App for Symptom Reporting and Management Following Pancreatic Cancer Surgery to Facilitate Person-Centered Care: Descriptive Study

利用交互式应用程序进行胰腺癌术后症状报告和管理,以促进以人为本的护理:描述性研究

Gustavell, Tina; Sundberg, Kay; Langius-Eklöf, Ann