| Type of Material: | Thesis |
| Title: | Pharmacovigilance With Datamining And Machine Learning Algorithms |
| Researcher: | Kamatchi Sankaravadivel |
| Guide: | Latha Parthiban |
| Department: | Department of Computer Application |
| Publisher: | Bharath University, Chennai |
| Place: | Chennai |
| Year: | 2021 |
| Language: | English |
| Subject: | Computer Science | Computer Science Artificial Intelligence | Engineering and Technology | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Computer Application, Bharath University, Chennai, Chennai; 2021; D14SH508 |
| Fulltext: | Shodhganga |
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| 008 | __ | 240923t2021||||ii#||||g|m||||||||||eng|| |
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| 040 | __ | |aBHAU_600073|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aKamatchi Sankaravadivel|eResearcher |
| 110 | __ | |aDepartment of Computer Application|bBharath University, Chennai|dChennai|ein|0U-0446 |
| 245 | __ | |aPharmacovigilance With Datamining And Machine Learning Algorithms |
| 260 | __ | |aChennai|bBharath University, Chennai|c2021 |
| 300 | __ | |dDVD |
| 502 | __ | |bPhD|cDepartment of Computer Application, Bharath University, Chennai, Chennai|d2021|oD14SH508 |
| 520 | __ | |aData mining is a relatively new field of research whose major objective is to acquire knowledge from large amounts of data. The medical and healthcare industry has generated large amount of data generated from record keeping, compliance and patient related data. In todays digital world, it is mandatory that these data should be digitalized. To improve the quality of healthcare by minimizing the costs, it is necessary that large volume of data generated should be analysed effectively to answer new challenges. On one hand, practitioners are expected to use all these data in their work, but at the same time, such data cannot be processed by humans in a short time to make diagnosis, prognosis and treatment schedules. The increasing gap between healthcare costs and outcomes is one of the most important issues, and many efforts to fill this gap are under way in many developed countries. Very fast growth in medical data needs huge electronic medical record forms that have patient s health history. Governments tak |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aComputer Science |
| 653 | __ | |aComputer Science Artificial Intelligence |
| 653 | __ | |aEngineering and Technology |
| 700 | __ | |aLatha Parthiban|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/392810|yShodhganga |
| 905 | __ | |afromsg |
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