A Breast Cancer Image Classification Algorithm with 2c Multiclass Support Vector Machine
Breast cancer is the most frequent type of cancer in women; however, early identification has
reduced the mortality rate associated with the condition. Studies have demonstrated that the …
reduced the mortality rate associated with the condition. Studies have demonstrated that the …
Cloud migration framework clustering method for social decision support in modernizing the legacy system
M Aslam, LAB Rahim, J Watada… - Transactions on …, 2024 - Wiley Online Library
Cloud solutions accelerate the large‐scale acceptance of IoT projects. By diminishing the
need for maintaining on‐premises infrastructure, the cloud has enabled corporations to …
need for maintaining on‐premises infrastructure, the cloud has enabled corporations to …
An Effective Deep Learning Model for Health Monitoring and Detection of COVID‐19 Infected Patients: An End‐to‐End Solution
VG Biradar, MA Alqahtani, HC Nagaraj… - Computational …, 2022 - Wiley Online Library
The COVID‐19 infection is the greatest danger to humankind right now because of the
devastation it causes to the lives of its victims. It is important that infected people be tested in …
devastation it causes to the lives of its victims. It is important that infected people be tested in …
TNF: Tri-branch Neural Fusion for Multimodal Medical Data Classification
This paper presents a Tri-branch Neural Fusion (TNF) approach designed for classifying
multimodal medical images and tabular data. It also introduces two solutions to address the …
multimodal medical images and tabular data. It also introduces two solutions to address the …
Potential for the use of large unstructured data resources by public innovation support institutions
Effective programming of research and development (R&D) support, adjusted to the actual
potential of beneficiaries, requires the use of modern analytical tools. An efficient R&D …
potential of beneficiaries, requires the use of modern analytical tools. An efficient R&D …
Medical Document Classification using NLP Techniques
The field of medicine is a vital functional block in our lives. It is also now a growing domain in
machine learning and text-based classification. This opens up a world of possibilities for …
machine learning and text-based classification. This opens up a world of possibilities for …
Biomedical Application of Identified Biomarkers Gene Expression Based Early Diagnosis and Detection in Cervical Cancer with Modified Probabilistic Neural Network
Cervical squamous cell carcinoma (CSC) is expected to rise to become the fourth most
prevalent cancer in women globally and to replace breast cancer as the top cause of death …
prevalent cancer in women globally and to replace breast cancer as the top cause of death …
Optimizing Healthcare Insights: Unstructured Healthcare Data Analysis with Hybrid Models
MM Alam - 2024 - researchsquare.com
The healthcare industry has witnessed an unprecedented integration of unstructured data
from diverse sources including medical images, clinical notes, patient records, etc …
from diverse sources including medical images, clinical notes, patient records, etc …
AVCPR; web-based tool for extracting data from clinical pathology records to facilitate additional analysis and dynamic visualization
SMA Shahriar, M Limon, MN Tasnim, A Ullah… - Proceedings of the …, 2023 - dl.acm.org
Diagnostic procedure, one of the most essential steps in healthcare, determines the protocol
for the treatment of a patient. Doctors can provide a more accurate diagnosis and better …
for the treatment of a patient. Doctors can provide a more accurate diagnosis and better …
HealthCare Text Analytics Using Recent ML Techniques
A natural language processing (NLP) technique known as automatic clinical text
classification opens up information contained in clinical descriptions. By gaining knowledge …
classification opens up information contained in clinical descriptions. By gaining knowledge …