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Prostate cancer is among the most common cancer in males and its heterogeneity is well known. Its early detection helps making therapeutic decision. There is no standard technique or procedure yet which is full-proof in predicting cancer…

Machine Learning · Computer Science 2018-12-18 Khalid Raza , Atif N Hasan

In this work, we investigate the importance of ethnicity in colorectal cancer survivability prediction using machine learning techniques and the SEER cancer incidence database. We compare model performances for 2-year survivability…

Machine Learning · Computer Science 2019-01-15 Samuel Li , Talayeh Razzaghi

Thyroid cancer is a common endocrine carcinoma that occurs in the thyroid gland. Much effort has been invested in improving its diagnosis, and thyroidectomy remains the primary treatment method. A successful operation without unnecessary…

Machine Learning · Computer Science 2022-03-31 Nan Miles Xi , Lin Wang , Chuanjia Yang

Tongue cancer is a common oral cavity malignancy that originates in the mouth and throat. Much effort has been invested in improving its diagnosis, treatment, and management. Surgical removal, chemotherapy, and radiation therapy remain the…

Quantitative Methods · Quantitative Biology 2022-12-26 Angelos Vasilopoulos , Nan Miles Xi

Introduction: One of the most important tasks in the Emergency Department (ED) is to promptly identify the patients who will benefit from hospital admission. Machine Learning (ML) techniques show promise as diagnostic aids in healthcare.…

Prostate cancer was the third most common cancer in 2020 internationally, coming after breast cancer and lung cancer. Furthermore, in recent years prostate cancer has shown an increasing trend. According to clinical experience, if this…

Image and Video Processing · Electrical Eng. & Systems 2022-08-30 Carlos Nácher Collado

Oral epithelial dysplasia (OED) is a premalignant histopathological diagnosis given to lesions of the oral cavity. Its grading suffers from significant inter-/intra- observer variability, and does not reliably predict malignancy…

In biomedical studies it is of substantial interest to develop risk prediction scores using high-dimensional data such as gene expression data for clinical endpoints that are subject to censoring. In the presence of well-established…

Applications · Statistics 2011-11-24 Qi Long , Matthias Chung , Carlos S. Moreno , Brent A. Johnson

The incidence rate of early-onset colorectal cancer (EoCRC, age < 45) has increased every year, but this population is younger than the recommended age established by national guidelines for cancer screening. In this paper, we applied 10…

Computation and Language · Computer Science 2025-06-16 Wilson Lau , Youngwon Kim , Sravanthi Parasa , Md Enamul Haque , Anand Oka , Jay Nanduri

Adherence can be defined as "the extent to which patients take their medications as prescribed by their healthcare providers"[Osterberg and Blaschke, 2005]. World Health Organization's reports point out that, in developed countries, only…

Machine Learning · Computer Science 2018-11-30 Thomas Janssoone , Clémence Bic , Dorra Kanoun , Pierre Hornus , Pierre Rinder

We estimate treatment cost-savings from early cancer diagnosis. For breast, lung, prostate and colorectal cancers and melanoma, which account for more than 50% of new incidences projected in 2017, we combine published cancer treatment cost…

Tissues and Organs · Quantitative Biology 2019-04-03 Zura Kakushadze , Rakesh Raghubanshi , Willie Yu

In this paper, a mixed-effect modeling scheme is proposed to construct a predictor for different features of cancer tumor. For this purpose, a set of features is extracted from two groups of patients with the same type of cancer but with…

Applications · Statistics 2018-04-13 Fatemeh Nasiri , Oscar Acosta-Tamayo

The diagnosis of prostate cancer faces a problem with overdiagnosis that leads to damaging side effects due to unnecessary treatment. Research has shown that the use of multi-parametric magnetic resonance images to conduct biopsies can…

Image and Video Processing · Electrical Eng. & Systems 2021-06-04 Pedro C. Neto

The Epithelial Dysplasia (ED) is a tissue alteration commonly present in lesions preceding oral cancer, being its presence one of the most important factors in the progression toward carcinoma. This study proposes a method to design a low…

Image and Video Processing · Electrical Eng. & Systems 2022-04-08 Karoline da Rocha , José C. M. Bermudez , Elena R. C. Rivero , Márcio H. Costa

Five-year cancer survival rates are widely reported and often interpreted to mean that early detection saves lives, that a late fatal diagnosis would have been prevented by earlier detection, and that increasing survival over time proves…

Methodology · Statistics 2026-03-23 Allen B. Downey

The widespread digitization of patient data via electronic health records (EHRs) has created an unprecedented opportunity to use machine learning algorithms to better predict disease risk at the patient level. Although predictive models…

Background: Recent systematic reviews of randomised controlled trials (RCTs) in relapsing multiple sclerosis (RMS) revealed a decrease in placebo annualized relapse rates (ARR) over the past two decades. Furthermore, regression to the mean…

Applications · Statistics 2015-09-03 Christian Röver , Richard Nicholas , Sebastian Straube , Tim Friede

Active surveillance (AS) is a suitable management option for newly-diagnosed prostate cancer (PCa), which usually presents low to intermediate clinical risk. Patients enrolled in AS have their tumor closely monitored via longitudinal…

Radiotherapy treatment for prostate cancer relies on computed tomography (CT) and/or magnetic resonance imaging (MRI) for segmentation of target volumes and organs at risk (OARs). Manual segmentation of these volumes is regarded as the gold…

Objective: Predicting length of stay after elective spine surgery is essential for optimizing patient outcomes and hospital resource use. This systematic review synthesizes computational methods used to predict length of stay in this…

Machine Learning · Computer Science 2026-02-04 Ha Na Cho , Seungmin Jeong , Yawen Guo , Alexander Lopez , Hansen Bow , Kai Zheng