TRANSFER LEARNING AND MACHINE LEARNING FOR GENE PATTERN PREDICTION AND PROBABILITY PREDICTION OF DISEASE
Dr.S.Hemalatha
, Dr.A.Swaminathan , Pravallika Oggu , A.S.AronSanura
Transfer learning and machine learning techniques which prone to the genetic disorder diagnosis, medical imaging interpretation
In this paper we are going to use transfer learning and machine learning techniques which
help us classify the genes that are prone to the genetic disorder. The First method which has
been procedurally used in every predictions to design the predictive model is the feature
screening. In this method the fundamental goal of feature screening is to quickly and
effectively decrease the feature space's ultrahigh dimensionality to a manageable size while
keeping all of the crucial features in tact. After feature screening, more advanced techniques
can be used on a smaller feature space for additional analysis, such as parameter
estimation.applications, transfer learning—which involves transferring patterns discovered on
one dataset to another for the purpose of building prediction models—has proven to be
successful.Identifying genes from vast amount of data is very difficult and to make this
process easier , many Machine Learning algorithms have been developed .We examine how
machine learning may help with early diagnosis, medical imaging interpretation, the
discovery and development of new drugs, and other areas in this study.The deep neural
network (DNN) is a kind of deep learning (DL) that analyses high-dimensional data using
several hidden layers. Because of the large complexity of bioinformatics data, DNN might be
a viable model for bioinformatics research. Aside from image and text data from hospital
medical files, other types of laboratory data, which are mostly made up of numbers, must be
analyzed. However, few research have employed DNN to analyze structured numerical
medical data.As an example, we trained our model to predict the genes that cause a genetic
condition Sickle cell anaemia.
"TRANSFER LEARNING AND MACHINE LEARNING FOR GENE PATTERN PREDICTION AND PROBABILITY PREDICTION OF DISEASE", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.855-863, February-2024, Available :https://tijer.org/TIJER/papers/TIJERB001134.pdf
Volume 11
Issue 2,
February-2024
Pages : 855-863
Paper Reg. ID: TIJER_151055
Published Paper Id: TIJERB001134
Downloads: 000277
Research Area: Science and Technology
Country: THIRUVALLUR, TAMILNADU, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
