Search for dissertations about: "artificial neural network"

Showing result 6 - 10 of 154 swedish dissertations containing the words artificial neural network.

  2. 6. Neural networks in context: challenges and opportunities : a critical inquiry into prerequisites for user trust in decisions promoted by neural networks

    Author : Lars Holmberg; Paul Davidsson; Per Linde; Carl Magnus Olsson; Maria Riveiro; Malmö universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Explainable AI; Machine Learning; Neural Network; Concept; Generalisation; Out-of-Distribution; Förklaringsbar AI; Maskininlärning; Neurala Nätverk; Koncept; Generalisering; Utanför-distributionen;

    Abstract : Artificial intelligence and machine learning (ML) in particular increasingly impact human life by creating value from collected data. This assetisation affects all aspectsof human life, from choosing a significant other to recommending a product for us to consume. READ MORE

  4. 7. The use of Bayesian confidence propagation neural network in pharmacovigilance

    Author : Andrew Bate; Umeå universitet; []
    Keywords : adverse drug reactions; pharmacovigilance; signal detection; spontaneous reporting; data mining; Bayesian statistics; BCPNN; neural network; medicinsk farmakologi; Medical Pharmacology;

    Abstract : The WHO database contains more than 2.8 million case reports of suspected adverse drug reactions reported from 70 countries worldwide since 1968. The Uppsala Monitoring Centre maintains and analyses this database for new signals on behalf of the WHO Programme for International Drug Monitoring. READ MORE

  5. 8. ICU prognostication: Time to re-evaluate? Register-based studies on improving prognostication for patients admitted to the intensive care unit (ICU)

    Author : Peder Andersson; Anestesiologi och intensivvård; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Intensive Care; Critical Care; Mortality; Cerebral Performance Category; Cardiac arrest; Out-of-hospital cardiac arrest; Sepsis; Lactate; Troponin; Neuron-specific enolase; Neurofilament light; Age; Elderly; Prognostication; Prediction; Scoring system; Neural net; Artificial neural network; Deep learning; Artificial intelligence;

    Abstract : Background: ICU prognostication is difficult because of patients’ prior comorbidities and their varied reasons for admission. The model used for ICU prognostication in Sweden is the Simplified Acute Physiology Score 3 (SAPS 3), which uses information gathered within one hour of ICU admission to predict 30-day mortality. READ MORE

  6. 9. Rainfall-Runoff Modelling Using Artificial Neural Networks (ANNs)

    Author : Aman Mohammad Kalteh; Avdelningen för Teknisk vattenresurslära; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Hydrogeology; geographical and geological engineering; Hydrogeologi; teknisk geologi; teknisk geografi; Self-organizing map; Feed-forward multilayer perceptron; Forecasting; Hydrological modelling; Missing values; Rainfall-runoff modelling; Estimation; Artificial neural networks;

    Abstract : Over the last decades or so, artificial neural networks (ANNs) have become one of the most promising tools for modelling hydrological processes such as rainfall-runoff processes. In most studies, ANNs have been demonstrated to show superior result compared to the traditional modelling approaches. READ MORE

  7. 10. Artificial neural networks for assessment of patients with suspected acutemyocardial infarction

    Author : Johan Ellenius; Uppsala universitet; []
    Keywords : Medical sciences; Artificial neural network; decision-support systems; transferability; acute myocardial infarction; infarct size; nondiagnostic ECG; myoglobin; CK-MB; MEDICIN OCH VÅRD; MEDICINE; MEDICIN; medicinsk informatik; medicinsk informatik;

    Abstract : An early diagnosis within the first hours after onset of symptoms is essential for the optimal treatment of patients admitted with chest pain of suspected cardiac origin. In the majority of patients, the 12-lead ECG is nondiagnostic on admission. READ MORE