magister Krystian Zieliński
Zatrudnienie
- Doktorant w Katedra Inżynierii Biomedycznej
Media społecznościowe
Kontakt
- kryzieli@pg.edu.pl
Wybrane publikacje
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Personalized prediction of the secondary oocytes number after ovarian stimulation: A machine learning model based on clinical and genetic data
Controlled ovarian stimulation is tailored to the patient based on clinical parameters but estimating the number of retrieved metaphase II (MII) oocytes is a challenge. Here, we have developed a model that takes advantage of the patient’s genetic and clinical characteristics simultaneously for predicting the stimulation outcome. Sequence variants in reproduction-related genes identified by next-generation sequencing were matched...
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Evaluating the risk of endometriosis based on patients’ self-assessment questionnaires
Background Endometriosis is a condition that significantly affects the quality of life of about 10 % of reproductive-aged women. It is characterized by the presence of tissue similar to the uterine lining (endometrium) outside the uterus, which can lead lead scarring, adhesions, pain, and fertility issues. While numerous factors associated with endometriosis are documented, a wide range of symptoms may still be undiscovered. Methods In...
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Outlier Detection with the Use of Isolation Forests
wyświetlono 1203 razy