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Titlebook: Intelligent Systems; Proceedings of ICMIB Siba K. Udgata,Srinivas Sethi,Satish N. Srirama Conference proceedings 2021 The Editor(s) (if app

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楼主: 遮阳伞
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Atulya Gupta,Rajendra Prasad Mahapatra, sorted according to similarity with that diagnosis. Since the first edition, approaching 50 new diagnoses have been added, and many new images included. This easily portable book will be of great value for dermatologists and all who deal with dermatologic diseases.978-3-642-28005-4978-3-642-28006-1
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S. Preethi,A. Arun Prakash,R. Thangarajan, sorted according to similarity with that diagnosis. Since the first edition, approaching 50 new diagnoses have been added, and many new images included. This easily portable book will be of great value for dermatologists and all who deal with dermatologic diseases.978-3-642-28005-4978-3-642-28006-1
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Jawaz Alam,Srusti Priyadarshini,Sumanta Panda,Padmanav Dash, sorted according to similarity with that diagnosis. Since the first edition, approaching 50 new diagnoses have been added, and many new images included. This easily portable book will be of great value for dermatologists and all who deal with dermatologic diseases.978-3-642-28005-4978-3-642-28006-1
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Krishna Chandra Patra,Rabi Narayan Sethi,Dhiren Kumar Behera, sorted according to similarity with that diagnosis. Since the first edition, approaching 50 new diagnoses have been added, and many new images included. This easily portable book will be of great value for dermatologists and all who deal with dermatologic diseases.978-3-642-28005-4978-3-642-28006-1
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Kapil Goyal,Moumita Patraining the patient, and beginning to formulate a pla- n of ac tion. Profciency in the formulation of a diferential diagnosis that is brief and simultaneously thorough allows for consideration of- all pos sibilities, proper evaluation, and, hopefully, rapid diagnosis. We hope to provide the target rea
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Conference proceedings 2021nvironments, smart health, smart city, wireless networks, big data, cloud computing, business intelligence, internet security, pattern recognition, predictive analytics applications in healthcare, sensor networks and social sensing and statistical analysis of search techniques.
发表于 2025-3-26 19:05:44 | 显示全部楼层
An Approach for Heart Disease Prediction Using Machine Learning,machine learning classification approaches are done for the early prediction of heart disease. After all, the conclusion is drawn that the random forest classifier produces more accurate predictions than other competitive approaches. It can be helpful for the necessary aid for doctors and chronic patients suffering from heart diseases.
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