Essays about: "better healthcare"

Showing result 1 - 5 of 202 essays containing the words better healthcare.

  1. 1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Nikolaos Staikos; [2024]
    Keywords : Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

    Abstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE

  3. 2. Adherence to Treatment Advice in Patients with Heart Failure : Connections to mental health, social and socioeconomic factors

    University essay from Malmö universitet/Institutionen för vårdvetenskap (VV)

    Author : Moa Lassbo Lundquist; [2024]
    Keywords : Adherence; non-adherence; self-care; heart failure; multidisciplinary teams;

    Abstract : Aim: The aim of this study is to examine adherence among patients with HF and its potential association with mental health, social support and socioeconomic status.  Introduction: For patients with heart failure, self-care is strongly advised, encompassing prescribed medication intake, fluid reduction and weight control to maintain stability. READ MORE

  4. 3. Health Data Exchange during Transfer of Multi-morbid Elderly

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Hanan Hadi; [2023]
    Keywords : Ageing; Multi-morbidity; Health data; Health Information Exchange; Cooperation between region and municipality; Äldre; Multisjuka; Hälsodata; Utbyte av hälsoinformation; Samarbete mellan region och kommun;

    Abstract : This project aimed to enhance communication and collaboration among care providers in Stockholm Region and Stockholm Municipality by analyzing health data in various medical record systems and identifying the data that needs to be shared to support elderly individuals with multi-morbidity. Interviews with health experts, caregivers, and policymakers, as well as a literature review, were conducted to gather data. READ MORE

  5. 4. Wrist Angle Estimation Using Two Wearable Inertial Measurement Units

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Arvin Razavi; [2023]
    Keywords : IMU wrist angle estimation; Wrist absolute angle; IMU-based human motion capture; orientation filter; Complementary filter; Kalman filter; IMU handledsvinkeluppskattning; handleds absolutvinkel; IMU-baserad mänsklig rörelsefångst; orienteringsfilter; komplementfilter; Kalman-filter;

    Abstract : Hand-intensive work is closely related to the prevalence of upper body and hand/wrist work-related musculoskeletal disorders (WMSDs) in office work, manufacturing, service industries, as well as the healthcare industry. Some risk factors include vibrations, forceful exertions, heavy manual handling, repetitive motions, and prolonged nonneutral wrist postures. READ MORE

  6. 5. Towards Building Privacy-Preserving Language Models: Challenges and Insights in Adapting PrivGAN for Generation of Synthetic Clinical Text

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Atena Nazem; [2023]
    Keywords : Generative Adversarial Networks; privacy-preserving language models; clinical text data; reinforcement learning; synthetic data;

    Abstract : The growing development of artificial intelligence (AI), particularly neural networks, is transforming applications of AI in healthcare, yet it raises significant privacy concerns due to potential data leakage. As neural networks memorise training data, they may inadvertently expose sensitive clinical data to privacy breaches, which can engender serious repercussions like identity theft, fraud, and harmful medical errors. READ MORE