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| Format: | Recurso digital |
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2026
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| Online Access: | https://doi.org/10.5281/zenodo.19789525 |
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| _version_ | 1866901144945557504 |
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| author | Ramya P kalaiarasi S Preetha S |
| author_facet | Ramya P kalaiarasi S Preetha S |
| contents | <p>This study presents a detailed reliability analysis of medical treatment systems using probabilistic and stochastic models. The Gompertz distribution is employed to model the time-tofailure of drugs in human pathology. The research focuses on evaluating treatment reliability under different conditions, including multiple drug interventions and varying failure rates. Mathematical formulations are derived using convolution techniques to analyse sequential treatment systems. Numerical analysis demonstrates that reliability decreases over time, while multiple drug usage extends treatment duration. The study provides insights for improving medical decision-making and optimizing treatment strategies.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19789525 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Gompertz-Based Reliability Analysis of Medical Treatment Systems Ramya P kalaiarasi S Preetha S <p>This study presents a detailed reliability analysis of medical treatment systems using probabilistic and stochastic models. The Gompertz distribution is employed to model the time-tofailure of drugs in human pathology. The research focuses on evaluating treatment reliability under different conditions, including multiple drug interventions and varying failure rates. Mathematical formulations are derived using convolution techniques to analyse sequential treatment systems. Numerical analysis demonstrates that reliability decreases over time, while multiple drug usage extends treatment duration. The study provides insights for improving medical decision-making and optimizing treatment strategies.</p> |
| title | Gompertz-Based Reliability Analysis of Medical Treatment Systems |
| url | https://doi.org/10.5281/zenodo.19789525 |