Survey of machine learning algorithms for disease diagnostic

M Fatima, M Pasha - Journal of …, 2017 - geographical.openuniversityarchive …
In medical imaging, Computer Aided Diagnosis (CAD) is a rapidly growing dynamic area of
research. In recent years, significant attempts are made for the enhancement of computer …

A comprehensive survey of data mining

MK Gupta, P Chandra - International Journal of Information Technology, 2020 - Springer
Data mining plays an important role in various human activities because it extracts the
unknown useful patterns (or knowledge). Due to its capabilities, data mining become an …

Heart disease prediction using machine learning techniques

D Shah, S Patel, SK Bharti - SN Computer Science, 2020 - Springer
Heart disease, alternatively known as cardiovascular disease, encases various conditions
that impact the heart and is the primary basis of death worldwide over the span of the past …

Sentiment analysis of twitter data using machine learning approaches and semantic analysis

G Gautam, D Yadav - 2014 Seventh international conference …, 2014 - ieeexplore.ieee.org
The wide spread of World Wide Web has brought a new way of expressing the sentiments of
individuals. It is also a medium with a huge amount of information where users can view the …

Classification of sentimental reviews using machine learning techniques

A Tripathy, A Agrawal, SK Rath - Procedia Computer Science, 2015 - Elsevier
Sentiment Analysis is the most prominent branch of natural language processing. It deals
with the text classification in order to determine the intention of the author of the text. The …

A review on current advances in machine learning based diabetes prediction

V Jaiswal, A Negi, T Pal - Primary Care Diabetes, 2021 - Elsevier
Diabetes is a metabolic disorder comprising of high glucose level in blood over a prolonged
period in the body as it is not capable of using it properly. The severe complications …

Multiparameter MRI-based radiomics for preoperative prediction of extramural venous invasion in rectal cancer

Z Shu, D Mao, Q Song, Y Xu, P Pang, Y Zhang - European Radiology, 2022 - Springer
Objectives To compare multiparameter MRI-based radiomics for preoperative prediction of
extramural venous invasion (EMVI) in rectal cancer using different machine learning …

Multilingual opinion mining movie recommendation system using RNN

T Singh, A Nayyar, A Solanki - Proceedings of first international conference …, 2020 - Springer
Twitter is a news and social networking site where people around the world post their blogs
and share their feeling, point of view, and comments regarding any communication or about …

Predicting the progression of Parkinson's disease using conventional MRI and machine learning: An application of radiomic biomarkers in whole‐brain white matter

ZY Shu, SJ Cui, X Wu, Y Xu, P Huang… - Magnetic resonance …, 2021 - Wiley Online Library
Purpose This study aimed to develop and validate a radiomics model based on whole‐brain
white matter and clinical features to predict the progression of Parkinson disease (PD) …

[PDF][PDF] Text pre-processing of multilingual for sentiment analysis based on social network data.

N Garg, K Sharma - International Journal of Electrical & Computer …, 2022 - core.ac.uk
Sentiment analysis (SA) is an enduring area for research especially in the field of text
analysis. Text pre-processing is an important aspect to perform SA accurately. This paper …