CEU Electronic Theses and Dissertations, 2020
| Author | Vaivodaite, Agne |
|---|---|
| Title | Study of Incontinence Patients Data and Pelvic Cancer Influence on Medical Therapy Recommendations |
| Summary | In the age of technology, medical decision making should be more automated. By doing so, doctors would free up time for an actual human to human interaction which may get lost when the burden of decision making is on them. It should also limit false-negative diagnoses which are crucial for early diagnosis and survival rate. This study is based on an incontinence related questionnaire for patients that have already been to a urologist. It has around 25 incontinence related questions, including a column marking if a patient was diagnosed with pelvic cancer. The main goals of this study are the following: & #x2022; An alyse incontinence related dataset (over 9000 entries) and create an analytic model based on health risk factors and the occurrence of cancer • Explore if the cancer diagnosis leads to different medical treatment &# x2022; Est ablish a new dataset structure based on findings of the analysis &#x 2022; Disc uss potential new questions to be included in the new dataset Completing these tasks will help to kick off the client's primary goal of creating a decision-making platform that will help doctors to offer treatment and a correct referral to further examination for their patients. |
| Supervisor | Bogel, Gyorgy |
| Department | Economics MSc |
| Full text | https://www.etd.ceu.edu/2020/vaivodaite_agne.pdf |
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