AIMC Topic: Palliative Care
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Digital health innovation to integrate palliative care during the COVID-19 pandemic.
The American journal of emergency medicine
Aug 19, 2020
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
May 22, 2020
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 ...
Prognosis
Female
Reproducibility of Results
Male
Humans
Machine Learning
Algorithms
Pelvic Bones
Bone Neoplasms
Area Under Curve
Analgesics, Opioid
Middle Aged
Steroids
Time Factors
Proportional Hazards Models
Kaplan-Meier Estimate
Life Expectancy
Palliative Care
Karnofsky Performance Status
Blood Cell Count
Spinal Neoplasms
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
Apr 4, 2020
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 ...
Story Arcs in Serious Illness: Natural Language Processing features of Palliative Care Conversations.
Patient education and counseling
Dec 9, 2019
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...
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
Aug 14, 2019
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...
Development and Validation of a Deep Learning Algorithm for Mortality Prediction in Selecting Patients With Dementia for Earlier Palliative Care Interventions.
JAMA network open
Jul 3, 2019
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.
Robotic technology for palliative and supportive care: Strengths, weaknesses, opportunities and threats.
Palliative medicine
Jun 28, 2019
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...
Improving palliative care with deep learning.
BMC medical informatics and decision making
Dec 12, 2018
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 ...
Identifying in Palliative Care Consultations: A Tandem Machine-Learning and Human Coding Method.
Journal of palliative medicine
Oct 17, 2018
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...
Perception and sentiment analysis of palliative care in Chinese social media: Qualitative studies based on machine learning.
Social science & medicine (1982)
Aug 1, 2025
BACKGROUND: Traditional Chinese culture makes death a sensitive and taboo topic, leading patients and family members to refuse to choose palliative care.
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