{"product_id":"bio-inspired-optimization-for-medical-data-mining-hardback-9781394214181","title":"Bio-Inspired Optimization for Medical Data Mining (Hardback) 9781394214181","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eBio-Inspired Optimization for Medical Data Mining\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eSumit Srivastava (Edited by), Srivastava (Author), Abhineet Anand (Edited by), Abhishek Kumar (Edited by), Bhavna Saini (Edited by), Pramod Singh Rathore (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394214181, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 24 September 2024\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e336 pages\u003cbr\u003e22.9 x 15.2 x 2.1 cm, 0.726 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eThis book is a comprehensive exploration of bio-inspired optimization techniques and their potential applications in healthcare.\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eBio-Inspired Optimization for Medical Data Mining \u003c\/i\u003eis a groundbreaking book that delves into the convergence of nature’s ingenious algorithms and cutting-edge healthcare technology. Through a comprehensive exploration of state-of-the-art algorithms and practical case studies, readers gain unparalleled insights into optimizing medical data processing, enabling more precise diagnosis, optimizing treatment plans, and ultimately advancing the field of healthcare. \u003c\/p\u003e\n\u003cp\u003eOrganized into 15 chapters, readers learn about the theoretical foundation of pragmatic implementation strategies and actionable advice. In addition, it addresses current developments in molecular subtyping and how they can enhance clinical care. By bridging the gap between cutting-edge technology and critical healthcare challenges, this book is a pivotal contribution, providing a roadmap for leveraging nature-inspired algorithms. \u003c\/p\u003e\n\u003cp\u003eIn this book, the reader will discover \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCutting-edge bio-inspired algorithms designed to optimize medical data processing, providing efficient and accurate solutions for complex healthcare challenges;\u003c\/li\u003e \u003cli\u003eHow bio-inspired optimization can fine-tune diagnostic accuracy, leading to better patient outcomes and improved medical decision-making;\u003c\/li\u003e \u003cli\u003eHow bio-inspired optimization propels healthcare into a new era, unlocking transformative solutions for medical data analysis;\u003c\/li\u003e \u003cli\u003ePractical insights and actionable advice on implementing bio-inspired optimization techniques and equipping effective real-world medical data scenarios;\u003c\/li\u003e \u003cli\u003eCompelling case studies illustrating how bio-inspired optimization has made a significant impact in the medical field, inspiring similar success stories. \u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003cb\u003eAudience\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eThis book is designed for a wide-ranging audience, including medical professionals, healthcare researchers, data scientists, and technology enthusiasts.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Bioinspired Algorithms: Opportunities and Challenges 1\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eShweta Agarwal, Neetu Rani and Amit Vajpayee\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 2\u003c\/p\u003e \u003cp\u003e1.2 Bioinspired Principles and Algorithms 3\u003c\/p\u003e \u003cp\u003e1.3 Opportunities of Bioinspired Algorithms 7\u003c\/p\u003e \u003cp\u003e1.4 Challenges of Bioinspired Algorithms 9\u003c\/p\u003e \u003cp\u003e1.5 Prominent Bioinspired Algorithms 12\u003c\/p\u003e \u003cp\u003e1.6 Applications of Bioinspired Algorithms 18\u003c\/p\u003e \u003cp\u003e1.7 Future Research Directions 21\u003c\/p\u003e \u003cp\u003e1.8 Conclusion 23\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Evaluation of Phytochemical Screening and In Vitro Antiurolithiatic Activity of Myristica fragrans by Titrimetry Method Using Machine Learning 31\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eG. Lalitha, S. Surya and M.P. Karthikeyan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 32\u003c\/p\u003e \u003cp\u003e2.2 Methodology 33\u003c\/p\u003e \u003cp\u003e2.3 Result and Discussion 35\u003c\/p\u003e \u003cp\u003e2.4 Conclusion 38\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Parkinson's Disease Detection Using Voice and Speech--Systematic Literature Review 41\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eRonak Khatwad, Suyash Tiwari, Yash Tripathi, Ajay Nehra and Ashish Sharma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 42\u003c\/p\u003e \u003cp\u003e3.2 Research Questions 43\u003c\/p\u003e \u003cp\u003e3.3 Method 44\u003c\/p\u003e \u003cp\u003e3.4 Algorithms 60\u003c\/p\u003e \u003cp\u003e3.5 Features 63\u003c\/p\u003e \u003cp\u003e3.6 Conclusion 67\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Tumor Detection and Classification 75\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eHermehar P.S. Bedi, Sukhpreet Kaur and Saumya Rajvanshi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 76\u003c\/p\u003e \u003cp\u003e4.2 Methods Used for Detection of Tumors 77\u003c\/p\u003e \u003cp\u003e4.3 Methods Used for Classification of Tumours 80\u003c\/p\u003e \u003cp\u003e4.4 Machine Learning 84\u003c\/p\u003e \u003cp\u003e4.5 Deep Learning (DL) 89\u003c\/p\u003e \u003cp\u003e4.6 Performance Metrics 95\u003c\/p\u003e \u003cp\u003e4.7 Method Wise Trend of Using Techniques for Detection of Brain Tumor 97\u003c\/p\u003e \u003cp\u003e4.8 Conclusion 97\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Advancements in Tumor Detection and Classification 103\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMayank Puri, Aman Garg and Lekha Rani\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 104\u003c\/p\u003e \u003cp\u003e5.2 Imaging Techniques Used in Tumor Detection and Classification 105\u003c\/p\u003e \u003cp\u003e5.3 Molecular Biology Techniques 111\u003c\/p\u003e \u003cp\u003e5.4 Machine Learning and Artificial Intelligence 115\u003c\/p\u003e \u003cp\u003e5.5 Tumor Classification 121\u003c\/p\u003e \u003cp\u003e5.6 Challenges and Future Directions 125\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Classification of Brain Tumor Using Machine Learning Techniques: A Comparative Study 129\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eGandla Shivakanth, Bhaskar Marapelli, A. Shivakumar Reddy, Dasari Manasa and Samtha Konda\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 130\u003c\/p\u003e \u003cp\u003e6.2 Related Work 131\u003c\/p\u003e \u003cp\u003e6.3 Datasets 132\u003c\/p\u003e \u003cp\u003e6.4 Experimental Setup 133\u003c\/p\u003e \u003cp\u003e6.5 Results and Discussion 134\u003c\/p\u003e \u003cp\u003e6.6 Conclusion 136\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Exploring the Potential of Dingo Optimizer: A Promising New Metaheuristic Approach 141\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAnju Yadav and Vivek Kumar Varma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 141\u003c\/p\u003e \u003cp\u003e7.2 Architecture of Dingo Optimizer 142\u003c\/p\u003e \u003cp\u003e7.3 Initialization Process 144\u003c\/p\u003e \u003cp\u003e7.4 Iteration Phase 148\u003c\/p\u003e \u003cp\u003e7.6 Other Optimization Techniques 150\u003c\/p\u003e \u003cp\u003e7.7 Conclusion 151\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Bioinspired Genetic Algorithm in Medical Applications 155\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eKrati Taksali, Arpit Kumar Sharma and Manish Rai\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 156\u003c\/p\u003e \u003cp\u003e8.2 The Genetic Algorithm 157\u003c\/p\u003e \u003cp\u003e8.3 Radiology 158\u003c\/p\u003e \u003cp\u003e8.4 Oncology 160\u003c\/p\u003e \u003cp\u003e8.5 Endocrinology 161\u003c\/p\u003e \u003cp\u003e8.6 Obstetrics and Gynecology 162\u003c\/p\u003e \u003cp\u003e8.7 Pediatrics 162\u003c\/p\u003e \u003cp\u003e8.8 Surgery 163\u003c\/p\u003e \u003cp\u003e8.9 Infectious Diseases 164\u003c\/p\u003e \u003cp\u003e8.10 Radiotherapy 164\u003c\/p\u003e \u003cp\u003e8.11 Rehabilitation Medicine 165\u003c\/p\u003e \u003cp\u003e8.12 Neurology 165\u003c\/p\u003e \u003cp\u003e8.13 Health Care Management 166\u003c\/p\u003e \u003cp\u003e8.14 Conclusion 166\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Artificial Immune System Algorithms for Optimizing Nanoparticle Design in Targeted Drug Delivery 169\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAshish Kumar and Vivek Verma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 170\u003c\/p\u003e \u003cp\u003e9.2 Artificial Immune Cells 171\u003c\/p\u003e \u003cp\u003e9.3 The Artificial Immune System Architecture 172\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Diabetic Retinopathy Detection by Retinal Blood Vessel Segmentation and Classification Using Ensemble Model 185\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eGandla Shivakanth, K. Aruna Bhaskar, Bechoo Lal, A. Shivakumar Reddy and D. Manasa\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 186\u003c\/p\u003e \u003cp\u003e10.2 Literature Review 187\u003c\/p\u003e \u003cp\u003e10.3 Proposed System 188\u003c\/p\u003e \u003cp\u003e10.4 Conclusion and Future Scope 198\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Diabetes Prognosis Model Using Various Machine Learning Techniques 201\u003c\/b\u003e\u003cbr\u003e\u003ci\u003ePawan Kumar Patidar, Manish Bhardwaj and Sumit Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 202\u003c\/p\u003e \u003cp\u003e11.2 Literature Review 209\u003c\/p\u003e \u003cp\u003e11.3 Proposed Model 211\u003c\/p\u003e \u003cp\u003e11.4 Experimental Results and Discussion 213\u003c\/p\u003e \u003cp\u003e11.5 Conclusion 222\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Diagnosis of Neurological Disease Using Bioinspired Algorithms 227\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eInam Ul Haq\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 228\u003c\/p\u003e \u003cp\u003e12.2 Neurological Disease Diagnosis 244\u003c\/p\u003e \u003cp\u003e12.3 Challenges and Future Directions 260\u003c\/p\u003e \u003cp\u003e12.4 Conclusion 264\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Optimizing Artificial Neural-Network Using Genetic Algorithm 269\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eBhavy Pratap and Sulabh Bansal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 270\u003c\/p\u003e \u003cp\u003e13.2 Methodology 278\u003c\/p\u003e \u003cp\u003e13.3 Brief Study on Existing Implementations 283\u003c\/p\u003e \u003cp\u003e13.4 Comparative Study on Different Implementations 285\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Bioinspired Applications in the Medical Industry: A Case Study 289\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAlankrita Aggarwal and Mohit Lalit\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 290\u003c\/p\u003e \u003cp\u003e14.2 Overview of Bioinspired Algorithms 291\u003c\/p\u003e \u003cp\u003e14.3 Applications of Bioinspired Algorithms in Medical Field 296\u003c\/p\u003e \u003cp\u003e14.4 Review of the Case Studies 297\u003c\/p\u003e \u003cp\u003e14.5 Case Study 297\u003c\/p\u003e \u003cp\u003e14.6 Some Examples of the Case Studies Related to Medical Field and Can Be Solved with Bioinspired Algorithms 300\u003c\/p\u003e \u003cp\u003e14.7 Future Directions and Recommendations for Future Research 302\u003c\/p\u003e \u003cp\u003e14.8 Conclusion and Summary of Findings 306\u003c\/p\u003e \u003cp\u003eReferences 307\u003c\/p\u003e \u003cp\u003eIndex 309\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Computer science [\u003ca title=\"See our other books on Computer science\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20science%20%5BUY%5D%22\"\u003eUY\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52433207853336,"sku":"9781394214181","price":124.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394214181.jpg?v=1784851839","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/bio-inspired-optimization-for-medical-data-mining-hardback-9781394214181","provider":"Freshly Printed Books","version":"1.0","type":"link"}