Review of statistical and methodological issues in the forensic prediction of malingering from validity tests: Part I: Statistical issues
C Leonhard - Neuropsychology review, 2023 - Springer
Forensic neuropsychological examinations with determination of malingering have
tremendous social, legal, and economic consequences. Thousands of studies have been …
tremendous social, legal, and economic consequences. Thousands of studies have been …
Application of artificial intelligence techniques to predict risk of recurrence of breast cancer: a systematic review
Breast cancer is the most common disease among women, with over 2.1 million new
diagnoses each year worldwide. About 30% of patients initially presenting with early stage …
diagnoses each year worldwide. About 30% of patients initially presenting with early stage …
Machine learning based intelligent system for breast cancer prediction (MLISBCP)
Risks of death from Breast Cancer (BC) are drastically rising in recent years. The diagnosis
of breast cancer is time-consuming due to the limited availability of diagnostic systems such …
of breast cancer is time-consuming due to the limited availability of diagnostic systems such …
Lead distribution in urban soil in a medium-sized city: household-scale analysis
E Obeng-Gyasi, J Roostaei… - Environmental science & …, 2021 - ACS Publications
This study characterizes potential soil lead (Pb) exposure risk at the household scale in
Greensboro, North Carolina, using an innovative combination of field sampling, statistical …
Greensboro, North Carolina, using an innovative combination of field sampling, statistical …
What are the leading causes of fatal and severe injury crashes involving older pedestrian? Evidence from Bayesian network model
Introduction: Identifying factors contributing to the risk of older pedestrian fatal/severe
injuries, along with their possible interdependency, is the first step towards improving safety …
injuries, along with their possible interdependency, is the first step towards improving safety …
Can artificial intelligence improve cancer treatments?
Y Derbal - Health Informatics Journal, 2022 - journals.sagepub.com
Artificial intelligence (AI) powered by the accumulating clinical and molecular data about
cancer has fueled the expectation that a transformation in cancer treatments towards …
cancer has fueled the expectation that a transformation in cancer treatments towards …
Preoperative non-invasive prediction of breast cancer molecular subtypes with a deep convolutional neural network on ultrasound images
C Li, H Huang, Y Chen, S Shao, J Chen, R Wu… - Frontiers in …, 2022 - frontiersin.org
Purpose This study aimed to develop a deep convolutional neural network (DCNN) model to
classify molecular subtypes of breast cancer from ultrasound (US) images together with …
classify molecular subtypes of breast cancer from ultrasound (US) images together with …
SEMeL-LR: An improvised modeling approach using a meta-learning algorithm to classify breast cancer
In the last two decades, cancer has continued to be prone to a larger extent in females
globally. In this regard, early prevention and treatment can help individuals to anticipate …
globally. In this regard, early prevention and treatment can help individuals to anticipate …
Prediction of drivers and pedestrians' behaviors at signalized mid-block Danish offset crosswalks using Bayesian networks
Introduction: This study presents the prediction of driver yielding compliance and pedestrian
tendencies to press pushbuttons at signalized mid-block Danish offset crosswalks. Method: It …
tendencies to press pushbuttons at signalized mid-block Danish offset crosswalks. Method: It …
Performance of statistical and machine learning risk prediction models for surveillance benefits and failures in breast cancer survivors
Background: Machine learning (ML) approaches facilitate risk prediction model
development using high-dimensional predictors and higher-order interactions at the cost of …
development using high-dimensional predictors and higher-order interactions at the cost of …