Essays about: "Risk Analysis Techniques"

Showing result 36 - 40 of 161 essays containing the words Risk Analysis Techniques.

  1. 36. Privacy Preserving Survival Prediction With Graph Neural Networks

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

    Author : Stefano Fedeli; [2021]
    Keywords : Graph Neural Network; Survival Analysis; Differential Privacy; Clinical Data; Registries; Population Study;

    Abstract : In the development process of novel cancer drugs, one important aspect is to identify patient populations with a high risk of early death so that resources can be focused on patients with the highest medical unmet need. Many cancer types are heterogeneous and there is a need to identify patients with aggressive diseases, meaning a high risk of early death, compared to patients with indolent diseases, meaning a low risk of early death. READ MORE

  3. 37. The potential for Binding PFAS Using Biochar and Phytoremediation

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Josefin Alice Maria Svensson; [2021]
    Keywords : Physical geography; ecosystem analysis; PFAS; Per-and polyfluoroalkyl substances; remediation; phytoremediation; biochar; Earth and Environmental Sciences;

    Abstract : PFAS is a group of long-lasting chemicals with multiple known toxicological effects which has been found everywhere in nature. One of the possible source points of PFAS is via landfill through leachate leaving the area. It is therefore important to investigate and implementing remediation techniques to reduce the contamination risk. READ MORE

  4. 38. Explainable Reinforcement Learning for Risk Mitigation in Human-Robot Collaboration Scenarios

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

    Author : Alessandro Iucci; [2021]
    Keywords : Explainable Reinforcement Learning; Human-Robot Collaboration; Risk Mitigation; Reward Decomposition; Autonomous Policy Explanation; Collaborative Robots; Förklarbar förstärkningslärande; Mänskligt-robot-samarbete; Riskreducering; Reward Decomposition; Autonomous Policy Explanation; Samarbetsrobotar;

    Abstract : Reinforcement Learning (RL) algorithms are highly popular in the robotics field to solve complex problems, learn from dynamic environments and generate optimal outcomes. However, one of the main limitations of RL is the lack of model transparency. This includes the inability to provide explanations of why the output was generated. READ MORE

  5. 39. A mixed clinicopathological and molecular proxy of homologous recombination deficiency in triple negative breast cancer

    University essay from Lunds universitet/Examensarbeten i bioinformatik

    Author : Elise Walford; [2021]
    Keywords : Biology and Life Sciences;

    Abstract : Clinical models are increasingly employed in medical science as either diagnostic or prognostic aids. Machine-learning methods are able to draw links in large data that can be used to predict patient risk and allow more informed decisions regarding treatment and medication intervention. READ MORE

  6. 40. Expressing ecosystem model output and Swedish forestry goals with composite indictors

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Nicolas Tarasewicz; [2021]
    Keywords : Physical Geography; Ecosystem Analysis; forest management; multifunctionality; LPJ-GUESS; ecosystem services; composite indicator; climate change; biodiversity; SDGs; Sweden; Earth and Environmental Sciences;

    Abstract : Forest ecosystems provide a wide range of services necessary for maintaining environmental health and human well-being. Ecosystem models help inform how various management strategies respond in different regions to changing climate conditions. READ MORE