Mehrad Mahmoudian
mehmah@utu.fi +358 29 450 3794 Tykistökatu 6 Turku ORCID identifier: https://orcid.org/0000-0001-7650-1862 |
Areas of expertise
Statistical Data Analysis, Survival Analysis, Machine Learning
Statistical Data Analysis, Survival Analysis, Machine Learning
Publications
- Stable Iterative Variable Selection (2021)
- Bioinformatics
(A1 Journal article – refereed) - Data-Independent Acquisition Mass Spectrometry in Metaproteomics of Gut Microbiota—Implementation and Computational Analysis (2020)
- Journal of Proteome Research
(A1 Journal article – refereed) - Easy-to-use tool for evaluating the elevated acute kidney injury risk against reduced cardiovascular disease risk during intensive blood pressure control (2020)
- Journal of Hypertension
(A1 Journal article – refereed) - Transcriptomic responses to hypoxia in endometrial and decidual stromal cells (2020)
- Reproduction
(A1 Journal article – refereed) - A predictive model of overall survival in patients with metastatic castration-resistant prostate cancer (2019)
- F1000Research
(A1 Journal article – refereed) - Prediction of complication related death after radical cystectomy for bladder cancer with machine learning methodology (2019)
- Scandinavian Journal of Urology
(A1 Journal article – refereed) - A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection (2018)
- Nature Communications
(A1 Journal article – refereed) - A predictive model of overall survival in patients with metastatic castration-resistant prostate cancer (2017)
- F1000Research
(A1 Journal article – refereed) - How Reliable are Trial-based Prognostic Models in Real-world Patients with Metastatic Castration-resistant Prostate Cancer? (2017)
- European Urology
(B1 Journal article) - Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data (2017)
- Lancet Oncology
(A1 Journal article – refereed) - Reply to Tuomas Mirtti and Tero Aittokallio's Letter to the Editor re: Fatemeh Seyednasrollah, Mehrad Mahmoudian, Liisa Rautakorpi, et al. How Reliable are Trial-based Prognostic Models in Real-world Patients with Metastatic Castration-resistant Prostate Cancer? Eur Urol. 2017;71:838-40. Clinical Utility of Trial-estimated Prognostic Models. (2017)
- European Urology
(B1 Journal article)
UTU Research Portal