scholarly journals VP03.02: A machine learning approach applied to gynecological ultrasound to predict progression‐free survival in ovarian cancer patients

2021 ◽  
Vol 58 (S1) ◽  
pp. 99-100
Author(s):  
F. Arezzo ◽  
V. Loizzi ◽  
C. Lombardi ◽  
G. Cazzato ◽  
V. Venerito ◽  
...  
Keyword(s):  
Machine Learning ◽  
Ovarian Cancer ◽  
Cancer Patients ◽  
Progression Free Survival ◽  
Learning Approach ◽  
Free Survival ◽  
Machine Learning Approach

scholarly journals A machine learning approach to predict healthcare cost of breast cancer patients

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Pratyusha Rakshit ◽  
Onintze Zaballa ◽  
Aritz Pérez ◽  
Elisa Gómez-Inhiesto ◽  
Maria T. Acaiturri-Ayesta ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Machine Learning ◽  
Cancer Patients ◽  
Healthcare Cost ◽  
Percentage Error ◽  
Learning Approach ◽  
Early Prediction ◽  
Breast Cancer Patients ◽  
Machine Learning Approach ◽  
Clinical Records

AbstractThis paper presents a novel machine learning approach to perform an early prediction of the healthcare cost of breast cancer patients. The learning phase of our prediction method considers the following two steps: (1) in the first step, the patients are clustered taking into account the sequences of actions undergoing similar clinical activities and ensuring similar healthcare costs, and (2) a Markov chain is then learned for each group to describe the action-sequences of the patients in the cluster. A two step procedure is undertaken in the prediction phase: (1) first, the healthcare cost of a new patient’s treatment is estimated based on the average healthcare cost of its k-nearest neighbors in each group, and (2) finally, an aggregate measure of the healthcare cost estimated by each group is used as the final predicted cost. Experiments undertaken reveal a mean absolute percentage error as small as 6%, even when half of the clinical records of a patient is available, substantiating the early prediction capability of the proposed method. Comparative analysis substantiates the superiority of the proposed algorithm over the state-of-the-art techniques.

scholarly journals A descriptive report of outcomes of primary mucinous ovarian cancer patients receiving either an adjuvant gynecologic or gastrointestinal chemotherapy regimen

2019 ◽  
Vol 29 (5) ◽  
pp. 904-909
Author(s):  
Brooke A Schlappe ◽  
Qin C Zhou ◽  
Roisin O'Cearbhaill ◽  
Alexia Iasonos ◽  
Robert A Soslow ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Overall Survival ◽  
Cancer Patients ◽  
Progression Free Survival ◽  
Categorical Variables ◽  
Continuous Variables ◽  
Free Survival ◽  
Exact Test ◽  
Clinical Criteria ◽  
Kaplan Meier

ObjectiveWe described progression-free survival and overall survival in patients with primary mucinous ovarian cancer receiving adjuvant gynecologic versus gastrointestinal chemotherapy regimens.MethodsWe identified all primary mucinous ovarian cancer patients receiving adjuvant gynecologic or gastrointestinal chemotherapy regimens at a single institution from 1994 to 2016. Gynecologic pathologists using strict pathologic/clinical criteria determined diagnosis. Adjuvant therapy was coded as gynecologic or gastrointestinal based on standard agents and schedules. Clinical/pathologic/treatment characteristics were recorded. Wilcoxon rank-sum test was used for continuous variables, and Fisher’s exact test for categorical variables. Progression-free and overall survival were calculated using the Kaplan-Meier method, applying landmark analysis.ResultsOf 62 patients identified, 21 received adjuvant chemotherapy: 12 gynecologic, 9 gastrointestinal. Median age (in years) at diagnosis: 58 (range 25–68) gynecologic cohort, 38 (range 32–68) gastrointestinal cohort (p=0.13). Median body mass index at first post-operative visit: 25 kg/m2(range 18–31) gynecologic cohort, 23 kg/m2(range 18–31) gastrointestinal cohort (p=0.23). History of smoking: 6/12 (50%) gynecologic cohort, 3/9 (33%) gastrointestinal cohort (p=0.66). Stage distribution in gynecologic and gastrointestinal cohorts, respectively: stage I: 9/12 (75%) and 3/9 (33%); stage II: 2/12 (17%) and 1/9 (11%); stage III: 1/12 (8%) and 5/9 (56%) (p=0.06). Grade distribution in gynecologic and gastrointestinal cohorts, respectively: grade 1: 8/12 (67%) and 1/9 (13%); grade 2/3: 4/12 (33%) and 7/9 (88%) (p=0.03). Three-year progression-free survival: 90.9% (95% CI 50.8% to 98.7 %) gynecologic, 53.3% (95% CI 17.7% to 79.6%) gastrointestinal. Three-year overall survival: 90.9% (95% CI 50.8% to 98.7%) gynecologic, 76.2% (95% CI 33.2% to 93.5%) gastrointestinal.ConclusionOngoing international collaborative research may further define associations between chemotherapy regimens and survival.

scholarly journals Prior oral contraceptive use in ovarian cancer patients: assessing associations with overall and progression-free survival

BMC Cancer ◽  
2015 ◽  
Vol 15 (1) ◽  
Author(s):  
Aminah Jatoi ◽  
Nathan R. Foster ◽  
Kimberly R. Kalli ◽  
Robert A. Vierkant ◽  
Zhiying Zhang ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Oral Contraceptive ◽  
Cancer Patients ◽  
Contraceptive Use ◽  
Progression Free Survival ◽  
Free Survival ◽  
Oral Contraceptive Use
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