Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data
Colorectal cancer (CRC) is third in prevalence and mortality among all cancers in the US.
Currently, the United States Preventative Services Task Force (USPSTF) recommends …
Currently, the United States Preventative Services Task Force (USPSTF) recommends …
Machine learning-based colorectal cancer prediction using global dietary data
Background Colorectal cancer (CRC) is the third most commonly diagnosed cancer
worldwide. Active health screening for CRC yielded detection of an increasingly younger …
worldwide. Active health screening for CRC yielded detection of an increasingly younger …
A blood‐based biomarker panel for stratifying current risk for colorectal cancer
KW Marshall, S Mohr, FE Khettabi… - … journal of cancer, 2010 - Wiley Online Library
Colorectal cancer (CRC) is often curable and preventable using current screening
modalities. Unfortunately, screening compliance remains low, partly due to patient …
modalities. Unfortunately, screening compliance remains low, partly due to patient …
Utility of machine learning in developing a predictive model for early-age-onset colorectal neoplasia using electronic health records
Background and aims The incidence of colorectal cancer (CRC) is increasing in adults
younger than 50, and early screening remains challenging due to cost and under-utilization …
younger than 50, and early screening remains challenging due to cost and under-utilization …
[HTML][HTML] Development and validation of colorectal cancer risk prediction tools: a comparison of models
DT Mülder, R van den Puttelaar, RGS Meester… - International Journal of …, 2023 - Elsevier
Background Identification of individuals at elevated risk can improve cancer screening
programmes by permitting risk-adjusted screening intensities. Previous work introduced a …
programmes by permitting risk-adjusted screening intensities. Previous work introduced a …
Early colorectal cancer detected by machine learning model using gender, age, and complete blood count data
MC Hornbrook, R Goshen, E Choman… - Digestive diseases and …, 2017 - Springer
Background Machine learning tools identify patients with blood counts indicating greater
likelihood of colorectal cancer and warranting colonoscopy referral. Aims To validate a …
likelihood of colorectal cancer and warranting colonoscopy referral. Aims To validate a …
Robust machine learning for colorectal cancer risk prediction and stratification
While colorectal cancer (CRC) is third in prevalence and mortality among cancers in the
United States, there is no effective method to screen the general public for CRC risk. In this …
United States, there is no effective method to screen the general public for CRC risk. In this …
Validation of an algorithm to identify patients at risk for colorectal cancer based on laboratory test and demographic data in diverse, community-based population
JL Schneider, E Layefsky, N Udaltsova… - Clinical …, 2020 - Elsevier
Background & Aims Approximately 30%–40% of screening-eligible adults in the United
States are not up to date with colorectal cancer (CRC) screening. We aimed to validate a …
States are not up to date with colorectal cancer (CRC) screening. We aimed to validate a …
A patient-oriented clinical decision support system for CRC risk assessment and preventative care
Abstract Background Colorectal Cancer (CRC) is the third leading cause of cancer death
among men and women in the United States. Research has shown that the risk of CRC …
among men and women in the United States. Research has shown that the risk of CRC …
Development and validation of a multiparameterized artificial neural network for prostate cancer risk prediction and stratification
Purpose To develop and validate a multiparameterized artificial neural network (ANN) on
the basis of personal health information for prostate cancer risk prediction and stratification …
the basis of personal health information for prostate cancer risk prediction and stratification …