Filters








3,458 Hits in 4.5 sec

A Deep Recurrent Survival Model for Unbiased Ranking [article]

Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai
2020 arXiv   pre-print
In this paper, we propose an end-to-end Deep Recurrent Survival Ranking (DRSR), a unified framework to jointly model user's various behaviors, to (i) consider the rich contextual information in the ranking  ...  Specifically, we adopt a recurrent neural network to model the contextual information and estimates the conditional likelihood of user feedback at each position.  ...  Deep Recurrent Survival Ranking Model Based on survival model, we introduce our DRSR based on recurrent neural network f θ with the parameter θ , which captures the sequential patterns for conditional  ... 
arXiv:2004.14714v2 fatcat:mvf6t3p2xfcybbkspfxkki5ohq

Deep Recurrent Survival Analysis [article]

Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu
2018 arXiv   pre-print
In this paper, we propose a Deep Recurrent Survival Analysis model which combines deep learning for conditional probability prediction at fine-grained level of the data, and survival analysis for tackling  ...  Survival analysis is a hotspot in statistical research for modeling time-to-event information with data censorship handling, which has been widely used in many applications such as clinical research, information  ...  To make flexibly modeling over time, we proposed a deep recurrent neural network with novel modeling view for conditional hazard rate prediction.  ... 
arXiv:1809.02403v2 fatcat:dexnicoac5dqtgxyfyfzva5ni4

ATRT-24. CELL SURFACE PROTEOME ANALYSIS OF ATRT IDENTIFIES TARGETS FOR IMMUNOTHERAPY

Allison Cole, Eric Hoffmeyer, Marco Zanini, Rajeev Vibhakar, Anandani Nellan, Olivier Ayrault, Siddhartha Mitra
2020 Neuro-Oncology  
and patient-derived xenograft models.  ...  The lack of targetable genetic abnormalities in ATRT makes it a tough target for therapy and hence radical new approaches are required to develop a treatment.  ...  from 35 to 55 days (Log-rank p<0.05).  ... 
doi:10.1093/neuonc/noaa222.023 fatcat:i3vjffdz2jcg3n7klhmsuesyhe

Deep Recurrent Survival Analysis

Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu
2019 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
In this paper, we propose a Deep Recurrent Survival Analysis model which combines deep learning for conditional probability prediction at finegrained level of the data, and survival analysis for tackling  ...  Survival analysis is a hotspot in statistical research for modeling time-to-event information with data censorship handling, which has been widely used in many applications such as clinical research, information  ...  To make flexibly modeling over time, we proposed a deep recurrent neural network with novel modeling view for conditional hazard rate prediction.  ... 
doi:10.1609/aaai.v33i01.33014798 fatcat:gfekskbizbeihne5ec26rcfsta

Integration of Tumor Heterogeneity for Recurrence Prediction in Patients with Esophageal Squamous Cell Cancer

Zihang Mai, Qianwen Liu, Xinye Wang, Jiaxin Xie, Jianye Yuan, Jian Zhong, Shuogui Fang, Xiuying Xie, Hong Yang, Jing Wen, Jianhua Fu
2021 Cancers  
Our study describes a novel recurrence predictor for ESCC patients and provides a new perspective for the clinical translation of genomic findings.  ...  EP300 was a promising biomarker for overall survival, impairing prognosis in a CCF dose-dependent manner.  ...  Statistical Analysis No method was used to estimate the sample size. p values for survival analysis were calculated from the log-rank test, with all patients followed up for mortality until 31 December  ... 
doi:10.3390/cancers13236084 pmid:34885197 fatcat:2bl2lkirmzh45fspipvlwuaf7q

Risk-Scoring Model for Prediction of Non-Home Discharge in Epithelial Ovarian Cancer Patients

Mariam M. AlHilli, Christine W. Tran, Carrie L. Langstraat, Janice R. Martin, Amy L. Weaver, Michaela E. McGree, Andrea Mariani, William A. Cliby, Jamie N. Bakkum-Gamez
2013 Journal of the American College of Surgeons  
The unbiased estimate of the c-index was excellent at 0.88, and the model had excellent calibration.  ...  A risk-scoring system was developed for use in preoperative counseling.  ...  follow-up for patients without recurrence.  ... 
doi:10.1016/j.jamcollsurg.2013.04.036 pmid:23816386 pmcid:PMC3752315 fatcat:vpt6cpnwrbfyvfegx432cilssi

Site and clinical outcome of deep vein thrombosis of the lower limbs: an epidemiological study

C. SEINTURIER, J. L. BOSSON, M. COLONNA, B. IMBERT, P. H. CARPENTIER
2005 Journal of Thrombosis and Haemostasis  
Survival analyses were performed with the Kaplan-Meier method; prognostic variables were tested using the log-rank test.  ...  survival, recurrence and cancer occurrence in patients diagnosed with symptomatic or asymptomatic DVT and to assess their relationship with the site of the DVT (proximal vs. distal, bilateral vs. unilateral  ...  This work was supported by a grant from the De´le´gation Re´gionale de la Recherche Clinique de Grenoble  ... 
doi:10.1111/j.1538-7836.2005.01393.x pmid:15892854 fatcat:ts7l4qbky5bsdbvq64yhowxgxa

Decoding the evolutionary response to prostate cancer therapy by plasma genome sequencing

Naveen Ramesh, Emi Sei, Pei Ching Tsai, Shanshan Bai, Yuehui Zhao, Patricia Troncoso, Paul G. Corn, Christopher Logothetis, Amado J. Zurita, Nicholas E. Navin
2020 Genome Biology  
A molecular characterization of archival plasma DNA from 233 patients and genomic profiling of 101 patients identifies clinical correlations of aneuploid plasma DNA profiles with poor survival, increased  ...  Deep-exome sequencing and genomic copy number profiling are performed on 23 patients, including 9 patients with matched metastatic tissues and 12 patients with serial plasma samples.  ...  Acknowledgements We are very grateful to the participating prostate cancer patients at MD Anderson Cancer Center for donating their blood and tumor tissues for this research work.  ... 
doi:10.1186/s13059-020-02045-9 pmid:32631448 fatcat:g7auwnupnvchhiq2mcvuswn2ga

A Synovial Sarcoma-Specific Preoperative Nomogram Supports a Survival Benefit to Ifosfamide-Based Chemotherapy and Improves Risk Stratification for Patients

R. J. Canter, L.-X. Qin, R. G. Maki, M. F. Brennan, M. Ladanyi, S. Singer
2008 Clinical Cancer Research  
A nomogram based on preoperative variables provides individualized patient survival estimates and shows an early survival benefit to chemotherapy that may dissipate over time.  ...  A nomogram based on preoperative data for surgical patients not receiving anthracycline-ifosfamide (AI) chemotherapy (n = 196) estimates 3-and 5-year DSS with a concordance index of 77.3%.  ...  For example, with a deep, monophasic tumor of the lower extremity, a 5 cm tumor has a favorable predicted 3-year survival of 85% and 5-year survival of 82%.  ... 
doi:10.1158/1078-0432.ccr-08-0843 pmid:19088035 pmcid:PMC2779709 fatcat:7chtvdizynhivacwytsapghjxy

Efficacy of systematic pelvic lymphadenectomy in endometrial cancer (MRC ASTEC trial): a randomised study

2009 The Lancet  
With adjustment for baseline characteristics and pathology details, the HR for overall survival was 1·04 (0·74-1·45; p=0·83) and for recurrence-free survival was 1·25 (0·93-1·66; p=0·14).  ...  of standard surgery and an absolute diff erence in 5-year overall survival of 1% (95% CI Interpretation Our results show no evidence of benefi t in terms of overall or recurrence-free survival for pelvic  ...  Acknowledgments We thank the women who participated in this trial; the research staff at the clinical centres who helped to recruit women and provide data; and Babak Oskooei for providing statistical input  ... 
doi:10.1016/s0140-6736(08)61766-3 pmid:19070889 pmcid:PMC2646126 fatcat:x3nr6gm5rvarzmq4c5pbbgqkoa

Development of a Machine Learning Model for Survival Risk Stratification of Patients With Advanced Oral Cancer

Yi-Ju Tseng, Hsin-Yao Wang, Ting-Wei Lin, Jang-Jih Lu, Chia-Hsun Hsieh, Chun-Ta Liao
2020 JAMA Network Open  
A risk stratification model using comprehensive clinicopathologic and genetic data accurately differentiated the high-risk group from the low-risk group in cancer-specific survival and locoregional recurrence-free  ...  The main outcomes were cancer-specific survival, distant metastasis-free survival, and locoregional recurrence-free survival.  ...  and a nonparametric Friedman test with a pairwise paired Wilcoxon signed rank post hoc test on the Akaike information criterion and C index values of the models.  ... 
doi:10.1001/jamanetworkopen.2020.11768 pmid:32821921 pmcid:PMC7442932 fatcat:evgtgzkjtncdfkwajpa3qez5wa

Baseline MRI-Radiomics Can Predict Overall Survival in Non-Endemic EBV-Related Nasopharyngeal Carcinoma Patients

Marco Bologna, Valentina Corino, Giuseppina Calareso, Chiara Tenconi, Salvatore Alfieri, Nicola Alessandro Iacovelli, Anna Cavallo, Stefano Cavalieri, Laura Locati, Paolo Bossi, Domenico Attilio Romanello, Rossana Ingargiola (+9 others)
2020 Cancers  
A multivariate Cox regression model was trained on a subset of features to obtain a radiomic signature for overall survival (OS), which was also applied for the prognosis of other clinical endpoints.  ...  The radiomics-based signature had good prognostic power for OS and loco-regional recurrence-free survival (LRFS), with C-index of 0.68 and 0.72, respectively.  ...  model based on a more complex deep learning model trained on a larger dataset of over 400 patients [20] .  ... 
doi:10.3390/cancers12102958 pmid:33066161 fatcat:stwl7octv5exrbbe53qqyduikm

Elderly Patients with Moderate Chronic Ischemic Mitral Regurgitation: Coronary Artery Bypass Grafting Alone or Concomitant Mitral Annuloplasty?

Qiang Ji, Yun Zhao, JinQiang Shen, YuLin Wang, Ye Yang, LiMin Xia, Kai Song, ChunSheng Wang
2019 Cardiology Research and Practice  
Compared with the CABG group, the MAP group received a similar overall survival but a better recurrent MR-free survival (stratified log-rank p, 0.492 and < 0.001, respectively).  ...  mortality and major postoperative morbidity and may be a promising treatment option for elderly patients with moderate chronic IMR.  ...  Overall survival and recurrent IMR-free survival were estimated using the Kaplan-Meier method with the stratified log-rank test to compare the equality of the survival curves in the PS-matched population  ... 
doi:10.1155/2019/1846904 pmid:31929898 pmcid:PMC6935804 fatcat:gyp5eudribdkhje64qfzeinhhu

Semiparametric regression analysis for time-to-event marked endpoints in cancer studies

C. Hu, A. Tsodikov
2013 Biostatistics  
Basel: Birkhauser.) attached to the observed survival time. Examples include time to recurrence and stage (local vs. metastatic).  ...  In cancer studies the disease natural history process is often observed only at a fixed, random point of diagnosis (a survival time), leading to a current status observation (Sun (2006) .  ...  The proposed method is most efficient among the unbiased models.  ... 
doi:10.1093/biostatistics/kxt056 pmid:24379192 pmcid:PMC4102917 fatcat:eazvxizt4jgr7c43phi5aodftq

Deep Learning based multi-omics integration robustly predicts survival in liver cancer [article]

Kumardeep Chaudhary, Olivier B. Poirion, Liangqun Lu, Lana X. Garmire
2017 bioRxiv   pre-print
To fill in this gap, we present a deep learning (DL) based model on HCC that robustly differentiates survival subpopulations of patients in six cohorts.  ...  This is the first study to employ deep learning to identify multi-omics features linked to the differential survival of HCC patients.  ...  Next for each of these transformed features produced by autoencoder, we built a univariate Cox-PH model and selected features from which a significant Cox-PH model is obtained (log-rank p-value < 0.05)  ... 
doi:10.1101/114892 fatcat:sezczlvwyneolea7eetkctz5iu
« Previous Showing results 1 — 15 out of 3,458 results