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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Drug Recommendation System Based On Age Using Random Forest |
| Authors Name: | D.Charan , M. Srikantha , D.Suneel , K.J.S.Siddartha , S Poovidha |
| Unique Id: | IJSDR2304212 |
| Published In: | Volume 8 Issue 4, April-2023 |
| Abstract: | Advances in information era and associated processing methods have created fertile ground for development in many medical and commercial fields. In the sector of drug discovery and development, device learning techniques are used to broaden new drug candidates. Targeted drug design and drug discovery strategies now normally integrate machine gaining knowledge of and deep mastering algorithms to enhance efficiency, effectiveness and first-class of layout results. The era and inclusion of large statistics via technology which include excessive-throughput screening and high-performance computational analysis databases used for lead discovery and target discovery has accelerated the embedded energy of device learning and deep learning techniques. The use of this virtual screening and online records insurance additionally highlighted the improvement of reachable lead synthesis. This review will talk device gaining knowledge of algorithms utilized in drug discovery and associated methods. Applications with promising outcomes and strategies could be taken into consideration. |
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| Cite Article: | "Drug Recommendation System Based On Age Using Random Forest", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1306 - 1311, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304212.pdf |
| Downloads: | 000337071 |
| Publication Details: | Published Paper ID: IJSDR2304212 Registration ID:205238 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: 1306 - 1311 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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