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Palliative Care

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[Surgical Treatment for Extremely Elderly Patients Over 90 Years of Age with Colorectal Cancer].

Gan to kagaku ryoho. Cancer & chemotherapy
We report 18 cases of colorectalcancer in patients aged over 90 years who received surgicaltreatment . Except for 2 patients who had Stageā…£ colorectal cancer, all patients underwent R0 colorectal resection. The mean operation time, blood loss, and le...

The views of physicians and nurses on the potentials of an electronic assessment system for recognizing the needs of patients in palliative care.

BMC palliative care
OBJECTIVES: Patients in oncological and palliative care (PC) often have complex needs, which require a comprehensive treatment approach. The assessment of patient-reported outcomes (PROs) has been shown to improve identification of patient needs and ...

Developing an Improved Statistical Approach for Survival Estimation in Bone Metastases Management: The Bone Metastases Ensemble Trees for Survival (BMETS) Model.

International journal of radiation oncology, biology, physics
PURPOSE: To determine whether a machine learning approach optimizes survival estimation for patients with symptomatic bone metastases (SBM), we developed the Bone Metastases Ensemble Trees for Survival (BMETS) to predict survival using 27 prognostic ...

Identifying Goals of Care Conversations in the Electronic Health Record Using Natural Language Processing and Machine Learning.

Journal of pain and symptom management
CONTEXT: Goals-of-care discussions are an important quality metric in palliative care. However, goals-of-care discussions are often documented as free text in diverse locations. It is difficult to identify these discussions in the electronic health r...

Effectiveness of Radiofrequency Ablation in the Treatment of Painful Osseous Metastases: A Correlation Meta-Analysis with Machine Learning Cluster Identification.

Journal of vascular and interventional radiology : JVIR
A systematic review and meta-analysis of pain response after radiofrequency (RF) ablation over time for osseous metastases was conducted in 2019. Analysis used a random-effects model with GOSH plots and meta-regression. Fourteen studies comprising 42...

[Artificial intelligence and palliative care: opportunities and limitations.].

Recenti progressi in medicina
The so-called artificial intelligence tools applied to palliative care (machine learning, natural language processing) have great potential to support clinicians in improving decision-making processes and in identifying those who are at high risk of ...

Using natural language processing to explore heterogeneity in moral terminology in palliative care consultations.

BMC palliative care
BACKGROUND: High quality serious illness communication requires good understanding of patients' values and beliefs for their treatment at end of life. Natural Language Processing (NLP) offers a reliable and scalable method for measuring and analyzing...

Improving the delivery of palliative care through predictive modeling and healthcare informatics.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Access to palliative care (PC) is important for many patients with uncontrolled symptom burden from serious or complex illness. However, many patients who could benefit from PC do not receive it early enough or at all. We sought to address...