协议 发表于 2025-3-25 06:17:41

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GULLY 发表于 2025-3-25 08:58:52

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DOLT 发表于 2025-3-25 12:24:31

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颠簸地移动 发表于 2025-3-25 19:12:47

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仪式 发表于 2025-3-25 23:46:11

1868-4394 es, and solutions to diversified healthcare issues.Presents .This book introduces a variety of well-proven and newly developed nature-inspired optimization algorithms solving a wide range of real-life biomedical and healthcare problems. Few solo and hybrid approaches are demonstrated in a lucid mann

不再流行 发表于 2025-3-26 01:48:04

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aqueduct 发表于 2025-3-26 07:03:57

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bisphosphonate 发表于 2025-3-26 09:15:15

,Optimized Gradient Boosting Tree-Based Model for Obesity Level Prediction from patient’s Physical Cobserved that patient’s Gender, Age, Height, Weight, and FHWO (Family history with Overweight) are the most influenced factors. This approach has been compared with other similar approaches and found to be efficient in predicting various obesity level of the patients.

助记 发表于 2025-3-26 16:38:01

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Collected 发表于 2025-3-26 20:02:21

Diabetes Twitter Classification Using Hybrid GSA,ative, and neutral using tweets on Twitter. It is observed from the results that the proposed approach produced better classification results compared to the existing approach. This work proved to be very effective in handling health tweets and accurate in classification.
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查看完整版本: Titlebook: Nature-Inspired Optimization Methodologies in Biomedical and Healthcare; Janmenjoy Nayak,Asit Kumar Das,Sheryl Brahnam Book 2023 The Edito