Essays about: "Performance in healthcare"

Showing result 1 - 5 of 176 essays containing the words Performance in 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. The language of risk: A quantitative study on the effects of presentation format in risk communication

   University essay from Handelshögskolan i Stockholm/Institutionen för marknadsföring och strategi

   Author : Andreas Lidin; Daniel Mira; [2024]
   Keywords : Risk Communication; Numeracy; Presentation Format; Natural Frequencies;

   Abstract : Consumers are faced with everyday decisions requiring understanding and interpretation of risks and probabilities. One area where the importance of good risk communication is particularly salient is in modern healthcare where shared medical decision making is a central feature. READ MORE

4. 3. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder

   University essay from Lunds universitet/Fysiska institutionen

   Author : Max Svensson; [2024]
   Keywords : Machine Learning; Self-supervised learning; AI; Physics; Medicine; Physics and Astronomy;

   Abstract : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. READ MORE

5. 4. Image-classification for Brain Tumor using Pre-trained Convolutional Neural Network

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Bushra Alsabbagh; [2023]
   Keywords : Brain tumor; Deep learning; Convolutional Neural Network CNN ; diagnosis; Image classification; pre-trained models; dataset; economic impact.; Cancer; Hjärntumör; Artificiell intelligens AI ; djupinlärning; konvolutionellt neuralt nätverk CNN ; Diagnostik; Bildklassificering; förtränade modeller; dataset.;

   Abstract : Brain tumor is a disease characterized by uncontrolled growth of abnormal cells in the brain. The brain is responsible for regulating the functions of all other organs, hence, any atypical growth of cells in the brain can have severe implications for its functions. READ MORE

6. 5. MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning

   University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Author : Ilya Ploshchik; [2023]
   Keywords : Visualization; interaction; metamodels; validation metrics; predicted probabilities; stacking; stacked generalization; ensemble learning; machine learning;

   Abstract : Stacking, also known as stacked generalization, is a method of ensemble learning where multiple base models are trained on the same dataset, and their predictions are used as input for one or more metamodels in an extra layer. This technique can lead to improved performance compared to single layer ensembles, but often requires a time-consuming trial-and-error process. READ MORE