AIMC Topic: Quality of Life

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Improving Quality of Life of Families Headed by Parents With Intellectual Disabilities and Their Children by Means of Assistive Social Robotics.

Journal of applied research in intellectual disabilities : JARID
BACKGROUND: Families of parents with intellectual disabilities still face discrimination, stigma and inadequate support, placing them in vulnerable positions. Social assistive robotics offers promising support. This study investigates the possible im...

Constructing a Predictive Model for Psychological Distress of Young- and Middle-Aged Gynaecological Cancer Patients.

Journal of evaluation in clinical practice
BACKGROUND: Cancer patients experience substantial psychological distress which causes the reduction of the quality of life. However, the risk of psychological distress has not been well predicted especially in young- and middle-aged gynaecological c...

Outcome measures in chronic urticaria: A comprehensive review.

Indian journal of dermatology, venereology and leprology
Chronic urticaria, characterised by pruritic wheals, angioedema or both significantly impacts individuals' quality of life. This review article examines the patient-reported outcome measures (PROMs) in chronic urticaria assessment, aiming to enhance ...

Visual analogue scale foot and ankle vs. short-form 36 quality of life scores: artificial intelligence using machine learning analysis with an external validation.

European review for medical and pharmacological sciences
OBJECTIVE: We aimed to utilize artificial intelligence (AI) via machine learning (ML) to analyze the relationship between visual analogue scale foot and ankle (VASFA) and short-form 36 (SF-36) quality of life scores and determine AI's performance ove...

Automated Extraction of Patient-Centered Outcomes After Breast Cancer Treatment: An Open-Source Large Language Model-Based Toolkit.

JCO clinical cancer informatics
PURPOSE: Patient-centered outcomes (PCOs) are pivotal in cancer treatment, as they directly reflect patients' quality of life. Although multiple studies suggest that factors affecting breast cancer-related morbidity and survival are influenced by tre...

Artificial intelligence in wound care: diagnosis, assessment and treatment of hard-to-heal wounds: a narrative review.

Journal of wound care
The effective assessment of wounds, both acute and hard-to-heal, is an important component in the delivery by wound care practitioners of efficacious wound care for patients. Improved wound diagnosis, optimising wound treatment regimens, and enhanced...

Using Machine Learning to Predict Unplanned Hospital Utilization and Chemotherapy Management From Patient-Reported Outcome Measures.

JCO clinical cancer informatics
PURPOSE: Adverse effects of chemotherapy often require hospital admissions or treatment management. Identifying factors contributing to unplanned hospital utilization may improve health care quality and patients' well-being. This study aimed to asses...

Improving accuracy of vascular access quality classification in hemodialysis patients using deep learning with K highest score feature selection.

The Journal of international medical research
OBJECTIVE: To develop and evaluate a novel feature selection technique, using photoplethysmography (PPG) sensors, for enhancing the performance of deep learning models in classifying vascular access quality in hemodialysis patients.

The League: A person-centred approach to the development of social robotics for paediatric anxiety.

Health expectations : an international journal of public participation in health care and health policy
BACKGROUND: Social robots are promising tools to improve the quality of life of children and youth living with anxiety and should be developed based on the priorities of end users. However, pathways to include young people in patient-oriented researc...