国际标准期刊号: 0974-276X
M. Swami Das, A. Govardhan, D. Vijaya Lakshmi, G. Rajesh Kumar, T. Shirisha
Every day data is generated from various applications, for example, from the Web and medical healthcare sectors. Data science and machine learning algorithms are used in clinical data (i.e., electronic health records, medical reports, treatments) to analyze reports The genome is all the genetic material of an organism and is made from Deoxyribonucleic Acid (DNA). Genome studies include structuring, sequencing, molecular bioinformatics and understanding the variants which help to provide cures and medical inventions for various diseases. Genome analysis issues are encountered in drug, electronic healthcare, gene sequencing, analysis and prediction systems. Protein structure detection and prediction of the gene are equally important. Knowledge of genes is used in the development of medicines. Genome study and data science help in biotechnology, antibiotic resistance and bioweapons creations. Healthcare data, management and monitoring of patient, healthcare tracking, diagnosis, and treatment of diseases and preventive recommendations are significant for various diseases.