Essays about: "medical information"

Showing result 1 - 5 of 540 essays containing the words medical information.

  1. 1. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques

    University essay from Lunds universitet/Matematisk statistik

    Author : Zeyuan Wu; [2024]
    Keywords : Machine Learning; Diagnosis of Sepsis; XGBoost; Logistic Regression; Mathematics and Statistics;

    Abstract : Sepsis, a serious medical condition often leading to patients requiring intensive care, has prompted numerous scientists to employ mathematical techniques to aid in its diagnosis. This thesis uses logistic regression and a machine learning technique, XGBoost, to predict true sepsis (as opposed to sepsis mimics) and culture-positive sepsis (among true sepsis) in critical care using blood test results, physiological measurements and other patient characteristics. READ MORE

  2. 2. Virtual H&E Staining Using PLS Microscopy and Neural Networks

    University essay from Lunds universitet/Matematik LTH

    Author : Sally Vizins; Hanna Råhnängen; [2024]
    Keywords : Deep learning; Virtual staining; Skin tissue; Hematoxylin Eosin; H E; Pathology; Carcinoma; Point light source illumination; Neural Networks; GANs; Generative adversarial networks; CNNs; Convolutional neural networks; Relativistic generative adversarial network; Unet; Digital microscopy; Attention-Unet; Dense-Unet; Mathematics and Statistics;

    Abstract : Histopathological examination, crucial in diagnosing diseases such as cancer, traditionally relies on time- and resource-consuming, poorly standardized chemical staining for tissue visualization. This thesis presents a novel digital alternative using generative neural networks and a point light source (PLS) microscope to transform unstained skin tissue images into their stained counterparts. READ MORE

  3. 3. Regular pre-service teachers’ perception on inclusive education of students with disabilities in Vietnam.

    University essay from Göteborgs universitet/Institutionen för pedagogik och specialpedagogik

    Author : Thuan Le; [2023-10-31]
    Keywords : inclusive education; initial teacher training; Vietnam;

    Abstract : Aim: The study investigates the perceptions of Vietnamese regular pre-service teachers on inclusive education (IE) of students with disabilities (SWD) in Vietnam by examining how pre-service teachers understand the concept of inclusive education, the primary sources of information used by pre-service teachers to acquire knowledge about inclusive education, and their perceived preparedness to include students with disabilities in regular classrooms. Theory: The charity model or Confucian philosophy, the medical model, and the social model of disability were adopted to explore the perceptions of Vietnamese regular pre-service teachers. READ MORE

  4. 4. Data Augmentation: Enhancing Named Entity Recognition Performance on Swedish Medical Texts

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Lucas Rosvall; Niklas Paasonen; [2023-10-05]
    Keywords : Machine Learning; Information Extraction; Named Entity Recognition; BERT; Data Augmentation;

    Abstract : Named Entity Recognition (NER) refers to the task of locating relevant information within text sequences. Within the medical domain, it can benefit applications such as de-identifying patient records or extracting valuable data for other downstream tasks. READ MORE

  5. 5. A Decentralised Application for Storing Electronic Health Records using Blockchain Technology

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Edenia Isaac; Hampus Jernkrook; NIls Johnsson; Christopher Molin; Wendy Pau; David Zamanian; [2023-03-03]
    Keywords : electronic health records; EHR; medical records; blockchain; Ethereum; IPFS; decentralised applications; Web3.Storage; information exchange; patientjournaler; blockkedja; decentraliserade applikationer; informationsdelning;

    Abstract : With the systems currently used in healthcare, medical records are often centrally stored in local databases or cloud services and managed by each individual healthcare provider. Due to this, the information exchange between healthcare providers is often limited. READ MORE