Estrogen signaling: An emanating therapeutic target for breast cancer treatment
Breast cancer, a most common malignancy in women, was known to be associated with
steroid hormone estrogen. The discovery of estrogen receptor (ER) gave us not only a …
steroid hormone estrogen. The discovery of estrogen receptor (ER) gave us not only a …
[HTML][HTML] BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions
In this paper, we developed BreastScreening-AI within two scenarios for the classification of
multimodal beast images:(1) Clinician-Only; and (2) Clinician-AI. The novelty relies on the …
multimodal beast images:(1) Clinician-Only; and (2) Clinician-AI. The novelty relies on the …
Prediction of benign and malignant breast cancer using data mining techniques
Breast cancer is the second most leading cancer occurring in women compared to all other
cancers. Around 1.1 million cases were recorded in 2004. Observed rates of this cancer …
cancers. Around 1.1 million cases were recorded in 2004. Observed rates of this cancer …
BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm
Breast cancer is one of the leading causes of death in the current age. It often results in
subpar living conditions for a patient as they have to go through expensive and painful …
subpar living conditions for a patient as they have to go through expensive and painful …
Analysis of breast cancer detection using different machine learning techniques
SA Mohammed, S Darrab, SA Noaman… - Data Mining and Big Data …, 2020 - Springer
Data mining algorithms play an important role in the prediction of early-stage breast cancer.
In this paper, we propose an approach that improves the accuracy and enhances the …
In this paper, we propose an approach that improves the accuracy and enhances the …
Student performance prediction model based on supervised machine learning algorithms
AS Hashim, WA Awadh… - IOP conference series …, 2020 - iopscience.iop.org
Higher education institutions aim to forecast student success which is an important research
subject. Forecasting student success can enable teachers to prevent students from dropping …
subject. Forecasting student success can enable teachers to prevent students from dropping …
A systematic review of text mining approaches applied to various application areas in the biomedical domain
S Cheerkoot-Jalim, KK Khedo - Journal of Knowledge Management, 2021 - emerald.com
Purpose This work shows the results of a systematic literature review on biomedical text
mining. The purpose of this study is to identify the different text mining approaches used in …
mining. The purpose of this study is to identify the different text mining approaches used in …
[HTML][HTML] IntelliHealth: a medical decision support application using a novel weighted multi-layer classifier ensemble framework
Accuracy plays a vital role in the medical field as it concerns with the life of an individual.
Extensive research has been conducted on disease classification and prediction using …
Extensive research has been conducted on disease classification and prediction using …
Breast cancer prediction using fine needle aspiration features and upsampling with supervised machine learning
Simple Summary Breast cancer is prevalent in women and the second leading cause of
death. Conventional breast cancer detection methods require several laboratory tests and …
death. Conventional breast cancer detection methods require several laboratory tests and …
PCA-RF: an efficient Parkinson's disease prediction model based on random forest classification
In this modern era of overpopulation disease prediction is a crucial step in diagnosing
various diseases at an early stage. With the advancement of various machine learning …
various diseases at an early stage. With the advancement of various machine learning …