Analysis and Prediction of Healthcare Sector Stock Price Using Machine Learning Techniques: Healthcare Stock Analysis
International Journal of Information System Modeling and Design
; 13(9), 2022.
Article
in English
| Scopus | ID: covidwho-1975017
ABSTRACT
Healthcare sector stocks are a very good opportunity for investors to obtain gains faster most of the time in a year and mostly during this COVID pandemic. Purchasing a healthcare stock of a certain company indicates that you hold a part of the company shares. Specifically, various examinations have been led to anticipate the development of financial exchange utilizing AI calculations, such as SVM and reinforcement learning. A collection of machine learning algorithms are executed on Indian stock price data to precisely come up with the value of the stock in the future. Experiments are performed to find such healthcare sector stock markets that are difficult to predict and those that are more influenced by social media and financial news. The impact of sentiments on predicting stock prices is displayed and the accuracy of the final model is further increased by incorporating sentiment analysis. © 2019 American Society of Mechanical Engineers (ASME). All rights reserved.
Healthcare Stocks; Machine Learning; Neural Networks; Recurrent Neural Network; Sentiment Analysis; Stock Market Prediction; Commerce; Costs; Electronic trading; Financial markets; Health care; Investments; Learning algorithms; Recurrent neural networks; Reinforcement learning; Company shares; Healthcare sectors; Healthcare stock; Machine learning techniques; Machine-learning; Neural-networks; Stock analysis; Stock price; Forecasting
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Prognostic study
Language:
English
Journal:
International Journal of Information System Modeling and Design
Year:
2022
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS