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Filtering by: Creator Dillon, T. M. (Thomas M.) Degree Field Computer Science Resource Type Dissertation Rights Statement In Copyright - Non-Commercial Use Permitted

Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

Creator:

Wei, Qi

Abstract:

Ph.D. candidate Qi Wei's thesis consists of two projects: Chemotherapy Project: a study based on the research paper "Predicting chemotherapy response of various cancer types using a variational auto-encoder approach" submitted to the bioRxiv preprint archive and accepted by the BMC bioinformatics; and Wound Monitor Project: implementing and assessing analytics...

Resource Type:

Dissertation

Full Text:

- ing tumor response to chemotherapy. For each tumor t, the en- coder’s input vector xt contains the

ScholarsArchive@OSU

Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

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