Preface xv
1 Bioinspired Algorithms: Opportunities and Challenges 1
Shweta Agarwal, Neetu Rani and Amit Vajpayee
1.1 Introduction 2
1.2 Bioinspired Principles and Algorithms 3
1.3 Opportunities of Bioinspired Algorithms 7
1.4 Challenges of Bioinspired Algorithms 9
1.5 Prominent Bioinspired Algorithms 12
1.6 Applications of Bioinspired Algorithms 18
1.7 Future Research Directions 21
1.8 Conclusion 23
2 Evaluation of Phytochemical Screening and In Vitro Antiurolithiatic Activity of Myristica fragrans by Titrimetry Method Using Machine Learning 31
G. Lalitha, S. Surya and M.P. Karthikeyan
2.1 Introduction 32
2.2 Methodology 33
2.3 Result and Discussion 35
2.4 Conclusion 38
3 Parkinson's Disease Detection Using Voice and Speech--Systematic Literature Review 41
Ronak Khatwad, Suyash Tiwari, Yash Tripathi, Ajay Nehra and Ashish Sharma
3.1 Introduction 42
3.2 Research Questions 43
3.3 Method 44
3.4 Algorithms 60
3.5 Features 63
3.6 Conclusion 67
4 Tumor Detection and Classification 75
Hermehar P.S. Bedi, Sukhpreet Kaur and Saumya Rajvanshi
4.1 Introduction 76
4.2 Methods Used for Detection of Tumors 77
4.3 Methods Used for Classification of Tumours 80
4.4 Machine Learning 84
4.5 Deep Learning (DL) 89
4.6 Performance Metrics 95
4.7 Method Wise Trend of Using Techniques for Detection of Brain Tumor 97
4.8 Conclusion 97
5 Advancements in Tumor Detection and Classification 103
Mayank Puri, Aman Garg and Lekha Rani
5.1 Introduction 104
5.2 Imaging Techniques Used in Tumor Detection and Classification 105
5.3 Molecular Biology Techniques 111
5.4 Machine Learning and Artificial Intelligence 115
5.5 Tumor Classification 121
5.6 Challenges and Future Directions 125
6 Classification of Brain Tumor Using Machine Learning Techniques: A Comparative Study 129
Gandla Shivakanth, Bhaskar Marapelli, A. Shivakumar Reddy, Dasari Manasa and Samtha Konda
6.1 Introduction 130
6.2 Related Work 131
6.3 Datasets 132
6.4 Experimental Setup 133
6.5 Results and Discussion 134
6.6 Conclusion 136
7 Exploring the Potential of Dingo Optimizer: A Promising New Metaheuristic Approach 141
Anju Yadav and Vivek Kumar Varma
7.1 Introduction 141
7.2 Architecture of Dingo Optimizer 142
7.3 Initialization Process 144
7.4 Iteration Phase 148
7.6 Other Optimization Techniques 150
7.7 Conclusion 151
8 Bioinspired Genetic Algorithm in Medical Applications 155
Krati Taksali, Arpit Kumar Sharma and Manish Rai
8.1 Introduction 156
8.2 The Genetic Algorithm 157
8.3 Radiology 158
8.4 Oncology 160
8.5 Endocrinology 161
8.6 Obstetrics and Gynecology 162
8.7 Pediatrics 162
8.8 Surgery 163
8.9 Infectious Diseases 164
8.10 Radiotherapy 164
8.11 Rehabilitation Medicine 165
8.12 Neurology 165
8.13 Health Care Management 166
8.14 Conclusion 166
9 Artificial Immune System Algorithms for Optimizing Nanoparticle Design in Targeted Drug Delivery 169
Ashish Kumar and Vivek Verma
9.1 Introduction 170
9.2 Artificial Immune Cells 171
9.3 The Artificial Immune System Architecture 172
10 Diabetic Retinopathy Detection by Retinal Blood Vessel Segmentation and Classification Using Ensemble Model 185
Gandla Shivakanth, K. Aruna Bhaskar, Bechoo Lal, A. Shivakumar Reddy and D. Manasa
10.1 Introduction 186
10.2 Literature Review 187
10.3 Proposed System 188
10.4 Conclusion and Future Scope 198
11 Diabetes Prognosis Model Using Various Machine Learning Techniques 201
Pawan Kumar Patidar, Manish Bhardwaj and Sumit Kumar
11.1 Introduction 202
11.2 Literature Review 209
11.3 Proposed Model 211
11.4 Experimental Results and Discussion 213
11.5 Conclusion 222
12 Diagnosis of Neurological Disease Using Bioinspired Algorithms 227
Inam Ul Haq
12.1 Introduction 228
12.2 Neurological Disease Diagnosis 244
12.3 Challenges and Future Directions 260
12.4 Conclusion 264
13 Optimizing Artificial Neural-Network Using Genetic Algorithm 269
Bhavy Pratap and Sulabh Bansal
13.1 Introduction 270
13.2 Methodology 278
13.3 Brief Study on Existing Implementations 283
13.4 Comparative Study on Different Implementations 285
14 Bioinspired Applications in the Medical Industry: A Case Study 289
Alankrita Aggarwal and Mohit Lalit
14.1 Introduction 290
14.2 Overview of Bioinspired Algorithms 291
14.3 Applications of Bioinspired Algorithms in Medical Field 296
14.4 Review of the Case Studies 297
14.5 Case Study 297
14.6 Some Examples of the Case Studies Related to Medical Field and Can Be Solved with Bioinspired Algorithms 300
14.7 Future Directions and Recommendations for Future Research 302
14.8 Conclusion and Summary of Findings 306
References 307
Index 309
