[HTML][HTML] Enhancing drug discovery and patient care through advanced analytics with the power of NLP and machine learning in pharmaceutical data interpretation

R Nagalakshmi, SB Khan, TR Mahesh, M Alojail… - SLAS technology, 2025 - Elsevier
This study delves into the transformative potential of Machine Learning (ML) and Natural
Language Processing (NLP) within the pharmaceutical industry, spotlighting their significant …

Sentiment Analysis by Using Naïve Bayes Classification and Support Vector Machine, Study Case Sea Bank

Y Christian, T Wibowo, M Lyawati - Sinkron: jurnal dan penelitian …, 2024 - jurnal.polgan.ac.id
Abstract Information technology is develo** at a rapid pace, changing people's lives,
particularly in the financial sector where customer demands are rising, and banks must …

MHD convective flow of chemically reacting viscoelastic fluid through an infinite inclined plate via machine learning

PC Reddy, B Hari Babu, PV Sanjeeva Kumar… - Modern Approaches in …, 2024 - Springer
This study investigates the influence of various parameters such as the Grashof number,
corrected Grashof number, permeability of the porous material, angle of inclination …

Exploration of factors of green marketing

J Kaur, M Gupta - … Conference on Communications and Cyber Physical …, 2024 - Springer
Green marketing, usually referred to as sustainable marketing or environmental marketing,
is the process of promoting and selling ecologically friendly goods and services. This …

[PDF][PDF] Deep Feature Wise Attention Based Convolutional Neural Network for Covid-19 Detection Using Lung CT Scan Images

L Yamathi, KS Rani, PV Krishna - Journal of Applied …, 2023 - pdfs.semanticscholar.org
This study anticipates to identify Covid-19 using Lung CT (Computed Tomography) scan
image dataset with the help of effective DL (Deep Learning) based algorithms. Though …

A comparative analysis of haemoglobin variants using machine learning algorithms

AA Okandeji, OF Odeyinka, AA Sogbesan… - Nigerian Journal of …, 2022 - ajol.info
In medical sciences, to ascertain the origin of a sickness, professionals utilize their expertise
and knowledge to analyze a person's symptoms and indications. These symptoms …

User Authentication Scheme and Identity Management for E-Health Systems using Blockchain Technology

MJ Sunitha, C Asendra, BB Kumar… - 2024 International …, 2024 - ieeexplore.ieee.org
In secure remote user authentication, the remote server verifies the user's identity via a
potentially unsafe channel of communication. Several types of remote user authentication …

Deep learning and patch processing based lung cancer detection on ct images

C Venkatesh, L Sivayamini, P Sarthika, M Hema… - … on Communications and …, 2024 - Springer
Lung cancer is the most typical cancer in both men and women. Lung cancer symptoms
typically appear in the human body when it is in its final stage, but with the aid of …

Significance and Challenges in Blockchain-Based Secure Sharing of Healthcare Data

R Pathak, B Soni, NB Muppalaneni - International Conference on …, 2024 - Springer
Both service providers and patients require healthcare information. Electronic Healthcare
Records (EHR) must be shared and maintained in a more secure manner. Blockchain …

ZACube-2 Mission Operations Analysis

GJ Naidoo, R van Zyl, G Gupta - … on Data Science, Machine Learning and …, 2022 - Springer
This research entails a comprehensive analysis of ZACube-2 operational mission data
which addresses on-orbit operations. The mission operations evaluation criteria that will be …