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Quality of Life

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A Multirobot System in an Assisted Home Environment to Support the Elderly in Their Daily Lives.

Sensors (Basel, Switzerland)
The increasing isolation of the elderly both in their own homes and in care homes has made the problem of caring for elderly people who live alone an urgent priority. This article presents a proposed design for a heterogeneous multirobot system consi...

Deep learning for rare disease: A scoping review.

Journal of biomedical informatics
Although individually rare, collectively more than 7,000 rare diseases affect about 10% of patients. Each of the rare diseases impacts the quality of life for patients and their families, and incurs significant societal costs. The low prevalence of e...

Social Robotics and Dementia: Results from the eWare Project in Supporting Older People and Their Informal Caregivers.

International journal of environmental research and public health
The aim of this paper is to describe the results collected with the Italian study conducted within eWare project, aimed at supporting the autonomy and health of the older people affected by dementia and their informal caregivers, through the use of a...

A deep-learning approach for automatically detecting gait-events based on foot-marker kinematics in children with cerebral palsy-Which markers work best for which gait patterns?

PloS one
Neuromotor pathologies often cause motor deficits and deviations from typical locomotion, reducing the quality of life. Clinical gait analysis is used to effectively classify these motor deficits to gain deeper insights into resulting walking behavio...

Modelling built-up land expansion probability using the integrated fuzzy logic and coupling coordination degree model.

Journal of environmental management
The expansion of built-up area is the most noticeable form of urbanization-induced land use/land cover (LULC) change. In the global cities of south, the urban sprawl is increasing rapidly with even higher probabilities of future built-up expansion. T...

Preservation of pelvic floor muscles contributes to early continence recovery after robot-assisted radical prostatectomy.

PloS one
PURPOSE: Postoperative recovery of urinary continence has a great impact on quality of life for patients undergoing robot-assisted radical prostatectomy (RARP). A variety of surgical techniques including reconstruction of the periurethral structure h...

Impact of Early Dorsal Venous Complex Ligation on Urinary Continence Recovery after Robot-assisted Radical Prostatectomy: Results from a Phase 3 Randomized Controlled Trial.

European urology focus
BACKGROUND: Whether early ligation of the dorsal venous complex (DVC) might improve recovery of urinary continence (UC) after robot-assisted radical prostatectomy (RARP) has never been investigated in a prospective randomized study.

Improved Harris Hawks Optimization with Hybrid Deep Learning Based Heating and Cooling Load Prediction on residential buildings.

Chemosphere
In digital era, energy efficient building remains a hot research topic because of increasing concern regarding their environmental impact and energy consumption. Designing a suitable energy efficient building based on their layout namely overall area...

Minimal residual membranous urethral length and membranous urethral length predict poor recovery from incontinence after robot-assisted radical prostatectomy and after open radical prostatectomy.

International journal of urology : official journal of the Japanese Urological Association
OBJECTIVES: To investigate how much minimal residual membranous urethral length (mRUL) and maximal urethral length (MUL) measured on MRI preoperatively affect postoperative urinary incontinence (PUI) and recovery in robot-assisted radical prostatecto...

Regulation of Quality of Life and Immune Function in Patients with Thyroid Cancer Treated by Deep Learning Technology.

Contrast media & molecular imaging
BACKGROUND: In order to explore the regulation of quality of life and immune function in patients with thyroid cancer after radiotherapy, a method based on deep learning technology was proposed. A deep learning detection method for thyroid cancer is ...