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Palliative Care

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[Prognosis of Patients after Palliative Stoma Creation].

Gan to kagaku ryoho. Cancer & chemotherapy
INTRODUCTION: We evaluated the effectiveness of palliative stomas created to resolve symptoms of bowel obstruction.

New Prognostic Indicator is Useful for Predicting the Survival of Patients with Unresectable Advanced Colorectal Cancer.

Hepato-gastroenterology
BACKGROUND/AIMS: Complete resection of tumors is possible after heavy chemotherapy in a few patients with unresectable colorectal cancer (UCRC). This study evaluated the ability of new prognostic score to identify such patients.

Artificial Neural Networking Model for the Prediction of Early Occlusion of Bilateral Plastic Stent Placement for Inoperable Hilar Cholangiocarcinoma.

Surgical laparoscopy, endoscopy & percutaneous techniques
BACKGROUND: This study aimed to determine whether the back-propagation artificial neural network (BP-ANN) model could be constructed to accurately in predicting early occlusion of bilateral plastic stent placement for inoperable hilar cholangiocarcin...

Measuring Processes of Care in Palliative Surgery: A Novel Approach Using Natural Language Processing.

Annals of surgery
: Palliative surgical procedures are often performed for patients with limited survival. Quality measures for processes of care at the end of life are appropriate in palliative surgery, but have not been applied in this patient population. In this pa...

Identifying in Palliative Care Consultations: A Tandem Machine-Learning and Human Coding Method.

Journal of palliative medicine
Systematic measurement of conversational features in the natural clinical setting is essential to better understand, disseminate, and incentivize high quality serious illness communication. Advances in machine-learning (ML) classification of human s...

Improving palliative care with deep learning.

BMC medical informatics and decision making
BACKGROUND: Access to palliative care is a key quality metric which most healthcare organizations strive to improve. The primary challenges to increasing palliative care access are a combination of physicians over-estimating patient prognoses, and a ...

Robotic technology for palliative and supportive care: Strengths, weaknesses, opportunities and threats.

Palliative medicine
BACKGROUND: Medical robots are increasingly used for a variety of applications in healthcare. Robots have mainly been used to support surgical procedures, and for a variety of assistive uses in dementia and elderly care. To date, there has been limit...

Development and Validation of a Deep Learning Algorithm for Mortality Prediction in Selecting Patients With Dementia for Earlier Palliative Care Interventions.

JAMA network open
IMPORTANCE: Early palliative care interventions drive high-value care but currently are underused. Health care professionals face challenges in identifying patients who may benefit from palliative care.

Documentation of Palliative and End-of-Life Care Process Measures Among Young Adults Who Died of Cancer: A Natural Language Processing Approach.

Journal of adolescent and young adult oncology
Few studies have investigated palliative and end-of-life care processes among young adults (YAs), aged 18-34 years, who died of cancer. This retrospective study used a natural language processing algorithm to identify documentation and timing of four...

Story Arcs in Serious Illness: Natural Language Processing features of Palliative Care Conversations.

Patient education and counseling
OBJECTIVE: Serious illness conversations are complex clinical narratives that remain poorly understood. Natural Language Processing (NLP) offers new approaches for identifying hidden patterns within the lexicon of stories that may reveal insights abo...