04606nas a2200193 4500008004100000245007900041210006900120260000800189300001100197490000700208520396300215100002004178700002504198700002304223700001504246700002104261700002004282856011004302 2024 eng d00aAn explainable AI-assisted web application in cancer drug value prediction0 aexplainable AIassisted web application in cancer drug value pred cJUN a1026960 v123 a
In recent years, there has been an increase in the interest in adopting Explainable Artificial Intelligence (XAI) for healthcare. The proposed system includes
While the model is evaluated on Lung Cancer data, the architecture offered in the proposed solution is cancer agnostic. It may be scaled out to other cancer cell data if the properties are similar. The work presents a viable route for customizing treatments and improving patient outcomes in oncology by combining XAI with a large dataset. This research attempts to create a framework where a user can upload a test case and receive forecasts with explanations, all in a portable PDF report.
1 aKothari, Sonali1 aSharma, Shivanandana1 aShejwal, Sanskruti1 aKazi, Aqsa1 aD'Silva, Michela1 aKarthikeyan, M. uhttps://library.ncl.res.in/content/explainable-ai-assisted-web-application-cancer-drug-value-prediction-004467nas a2200181 4500008004100000245007600041210006900117260000800186490000700194520385200201100002004053700002504073700002304098700001504121700002104136700002004157856010804177 2024 eng d00aExplainable AI-assisted web application in cancer drug value prediction0 aExplainable AIassisted web application in cancer drug value pred cJUN0 v123 a
In recent years, there has been an increase in the interest in adopting Explainable Artificial Intelligence (XAI) for healthcare. The proposed system includes
While the model is evaluated on Lung Cancer data, the architecture offered in the proposed solution is cancer agnostic. It may be scaled out to other cancer cell data if the properties are similar. The work presents a viable route for customizing treatments and improving patient outcomes in oncology by combining XAI with a large dataset. This research attempts to create a framework where a user can upload a test case and receive forecasts with explanations, all in a portable PDF report.
1 aKothari, Sonali1 aSharma, Shivanandana1 aShejwal, Sanskruti1 aKazi, Aqsa1 aD'Silva, Michela1 aKarthikeyan, M. uhttps://library.ncl.res.in/content/explainable-ai-assisted-web-application-cancer-drug-value-prediction