I'm mainly interested in machine learning, causal inference, and optimization applied to healthcare problems.

• Samuel Håkansson, Ronny Wickström, Johan Zelano
  

  Selection and continuation of antiseizure medication in children with epilepsy in Sweden 2007-2020  
  Pediatric Neurology 2023
  

  https://doi.org/10.1016/j.pediatrneurol.2023.03.016

  
  

• Rakesh Kumar Banote, Samuel Håkansson, Henrik Zetterberg, Johan Zelano
  Cerebrospinal fluid biomarkers in patients with epilepsy in Alzheimer’s disease: a nation-wide study
  Brain Communications 2022
  

  https://doi.org/10.1093/braincomms/fcac210
  
  

• Samuel Håkansson, Johan Zelano
  

  Big data analysis of ASM retention rates and expert ASM algorithm: a comparative study

  Epilepsia 2022
  

  https://doi.org/10.1111/epi.17235

      

• Samuel Håkansson, Markus Karlander, David Larsson, Zamzam Mahamud, Sara Garcia-Ptacek, Aleksej Zelezniak, Johan Zelano
  

  Potential for improved retention rate by personalized antiseizure medication selection: A register-based analysis Epilepsia 2021
  

  https://onlinelibrary.wiley.com/doi/full/10.1111/epi.16987

  
  

• Zamzam Mahamud, Samuel Håkansson, Joachim Burman, Johan Zelano
  

  Retention of antiseizure medications for epilepsy in multiple sclerosis: A retrospective observational study

  Epilepsy & Behavior 2021
  

  https://www.sciencedirect.com/science/article/pii/S1525505021002687

  
  

• Samuel Håkansson, Viktor Lindblom, Omer Gottesman, Fredrik D. Johansson

  Learning to search efficiently for causally near-optimal treatments

  NeurIPS 2020
  

  https://proceedings.neurips.cc/paper/2020/hash/0e900ad84f63618452210ab8baae0218-Abstract.html

  
  

• P.hD. Machine learning and big data for personalized epilepsy treatment, 2023, University of Gothenburg, Sahlgrenska Academy
  Thesis: https://gupea.ub.gu.se/handle/2077/74507
  
  
• M.Sc. Complex Adaptive Systems, 2020, Chalmers University of Technology
  Master's thesis:

  Minimizing search time for finding an effective treatment:

  Learning a near-optimal policy using constrained algorithms, approximations, and causal inference

  https://odr.chalmers.se/handle/20.500.12380/301394
  
  

• B.Sc. Software Engineering, 2018, Chalmers University of Technology
  Bachelor's thesis:
  

  Rules and Consequences

  https://odr.chalmers.se/handle/20.500.12380/256141

me@samuelhakansson.com