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Prediction of human diseases using optimized clustering techniques
In this paper an attempt is made to study the unsupervised learning clustering algorithms
such as K-Means, Agglomerative, and Fuzzy C-means Clustering methods. The Nature …
such as K-Means, Agglomerative, and Fuzzy C-means Clustering methods. The Nature …
[PDF][PDF] Advanced empirical studies on group governance of the novel corona virus, mers, sars and ebola: a systematic study
ABSTRACT Coronavirus condition (COVID-19) is a contagious illness brought on by a
freshly discovered Coronavirus. Most individuals contaminated with the COVID-19 infection …
freshly discovered Coronavirus. Most individuals contaminated with the COVID-19 infection …
[PDF][PDF] Prediction and forecasting of persistent kidney problems using machine learning algorithms
ABSTRACT Persistent Kidney Illness is an extremely hazardous health problem that has
been spreading in addition to expanding due to diversification in lifestyle such as food …
been spreading in addition to expanding due to diversification in lifestyle such as food …
Predicting Stock Prices Using Machine Learning Techniques
Stock value examination to a great extent relies upon the capacity to recognize the
development of the stock costs and foresee the concealed examples and patterns which the …
development of the stock costs and foresee the concealed examples and patterns which the …
Hybrid Model Using Feature Selection and Classifier in Big data Healthcare Analytics
The growing era of technology in healthcare results in a large amount of data generation
termed big data. Mining this data generating valuable insights is crucial in the classification …
termed big data. Mining this data generating valuable insights is crucial in the classification …
[PDF][PDF] Mathematical document retrieval system based on signature hashing
Scientific documents and magazines involve large number of mathematical expressions and
formulas along with text. The continuous growth of such documents necessitates the …
formulas along with text. The continuous growth of such documents necessitates the …
Multi-viewpoints visual models for efficient modeling and analysis of Twitter based health-care services
N Renigunta Mohammed… - International Journal of …, 2022 - emerald.com
Purpose The purpose of this study for eHealth text mining domains, cosine-based visual
methods (VM) assess the clusters more accurately than Euclidean; which are recommended …
methods (VM) assess the clusters more accurately than Euclidean; which are recommended …
A Novel Cosine-based Internal and External Validation metrics to assess twitter Data Clustering using Hybrid Topic Models
RM Noorullah, M Mohammed - IOP Conference Series: Materials …, 2020 - iopscience.iop.org
In document clustering labeled and unlabeled documents are organized into a desired
number of coherent and meaningful sub-clusters. Topic models are useful in extracting …
number of coherent and meaningful sub-clusters. Topic models are useful in extracting …
Effective Detection of Brain Tumor from Colour MRI Images Using Clustering Segmentation Techniques.
S Santhikumari, V Enireddy - International Journal of …, 2021 - search.ebscohost.com
Brain is the primary complex organ in the human body. Brain tumor due to the abnormal
cells of proliferation, brain tumor decrease the life expectancy of the patient when not identify …
cells of proliferation, brain tumor decrease the life expectancy of the patient when not identify …
[PDF][PDF] Scientific Document Retrieval System Using Signature Based Hash Indexing
Scientific documents and magazines involve large number of mathematical expressions and
formulas along with text. The continuous growth of such documents necessitates the …
formulas along with text. The continuous growth of such documents necessitates the …