Applications of Machine Learning in Medical Research
| Autor: | D. M. Basavarajaiah, Bhamidipati Narasimha Murthy |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Relation (database)
Process (engineering) Computer science business.industry education Machine learning computer.software_genre Medical research Test (assessment) Intervention (counseling) Unsupervised learning Artificial intelligence Predicative expression Association (psychology) business computer |
| Zdroj: | Design of Experiments and Advanced Statistical Techniques in Clinical Research ISBN: 9789811582097 |
| DOI: | 10.1007/978-981-15-8210-3_4 |
| Popis: | Algorithms are a big part of machine learning in present scenario, the new algorithms will produce insight mechanism of research hypothesis to test our resulted findings effectively with supervised and unsupervised learning process. Very fewer number of clinicians and drug manufacturers may use the machine learning for their research intervention. On the contrary, this chapter describes machine learning and its practical approach for medical and clinical research in association with mathematical formulation or modeling. We describe new predicative approach for learning the supervised and unsupervised learning network process. This new intervention merely helps clinical researcher and drug developers for taking right decisions about the tested or new novel regimen. The machine learning networking model derived the coaxial relation between various clinical and drug attributes for obtaining decision process at interim analysis and final approval of drug from FDA. |
| Databáze: | OpenAIRE |
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