Journal of Emergency Health Care

fa Presentation of Algorithm Using SVD Technique to Predict Diseases عمومى General پژوهشي Research Background and Objective: Data mining, it is considered as knowledge discovery in data science, is the technique for patterns discovery and other valuable data from huge sets. Due to the evolution of data storage technology and the growth of big data, the use of data mining techniques has increased dramatically in the last two decades. The purpose of data mining is to transform the raw data of organizations into useful knowledge. They express the final data set and predicting the outcomes utilizing machine learning techniques. These approaches are utilized to supply data like the fraud detection and user performance, bottlenecks and even security problems.Materials and Methods: In the current study, after preparing data, disease prediction is done utilizing large matrix and data mining approaches. By investigating the new vector, it can be find out which diseases of matrix is near to this one with new signs employing the matrix rows to classify it. The study is descriptive-analytical approach which can be applicable in medical and engineering. Results: In this research, we implemented data mining techniques using Python software to predict brain and nerve diseases.Conclusion: The technique used by Python software, the doctor enters the symptoms of the patient and the output of the program indicates 3 diseases close to the input signs for each meter, and ultimately all the meters are evaluated and the meter that has a weaker outcome is considred each time it is run. The priority of each of these meters are expressed in the article and resenting the algorithm employing the SVD approach to predict diseases that decrease the disease duration.   Prediction Of Neurological Diseases Treatment, Treatment Methods, Diseases, Data Mining, Using SVD Technique 106 127 http://intjmi.com/browse.php?a_code=A-10-1-629&slc_lang=fa&sid=1 Shabnam Zarghami 10031947532846007037 10031947532846007037 Yes Ph.D. Student, Department of Mathematics, University of Qom, Qom, Iran Gholam Hassan Shirdel 10031947532846007038 10031947532846007038 No Associate Professor, Department of Mathematics, University of Qom, Qom, Iran. Mojtaba Ghanbari 10031947532846007039 0001-0001-5874-4182 No Assistant professor, Department of Mathematics, Farahan branch, Islamic Azad University, Farahan, Iran Mohammad Reza Eskandari 10031947532846007040 10031947532846007040 No Neurology and Psychiatry Subspecialist, Harvard University, USA