AI is revolutionizing healthcare, transforming diagnostics, treatment, and patient care. Applied Intelligence for Healthcare Informatics: Techniques and Applications explores cutting-edge AI solutions for disease prediction, medical imaging, mental health analysis, and healthcare decision-making.
Covering topics like heart disease prediction, COVID-19 detection, breast cancer classification, and ethical AI challenges, this book bridges theory with real-world applications. A must-read for researchers, practitioners, and innovators, it offers insights into the future of AI-driven healthcare.
Table of Contents
1. Explainable AI-based Heart Attack Prediction Model using Various Machine Learning and Ensemble Learning Approaches.
Md Istakiak Adnan Palash, Muntarin Rahman, Mohammad Abu Yousuf, and Mohammad Ali Moni
2. Predicting Heart Block and Its Type using Ensemble-based Machine Learning.
Md Badiuzzaman Biplob and Atiqur Rahman
3. Towards COVID-19 Detection Information System based on AIoT.
Md. Shamsuzzaman Miah, Abu Sufiun, Md. Atiqur Rahman, Ifat Hasan, Md. Jahidul Islam Ridoy, Touhid Bhuiyan, and M. Ameer Ali
4. Tomato Leaf Disease Detection Using Convolutional Neural Network.
Shamima Parvez, Md Ashraf Uddin, Md Manowarul Islam, Pallab Bharman, and Md. Alamin Talukder
5. An Automatic Recognition System for Thyroid Nodule in Ultrasound Images using Convolutional Neural Network.
Md. Shimul Hussain and Monishanker Halder
6. Malnutrition prediction among under-five children using Machine learning techniques.
Md. Asraful Sharker Nirob, Monoronjon Dutta, Prayma Bishshash, and Md. Assaduzzaman
7. Prediction of Depression Severity via Feature Grouping and Machine Learning with Burn Depression Checklist.
Tumpa Rani Shaha and Momotaz Begum
8. Comparative Analysis of Machine Learning Methods for Symptoms-based COVID-19 Detection.
Afrin Sultana Olpi and Samia Muntaha
9. BCNet-11: A dilated convolutional neural network for breast cancer classification using histopathology images.
Sadman Sakib, Arefin Ittesafun Abian, Most. Marufatul Jannat Mim, Ripon Kumar Debnath, Azizul Hakim Zen, and Md. Rayhan Ahmed
10. Age Estimation from Human Facial Expression using Deep Neural Network.
Md. Ashiqur Rahman, Shuhena Salam Aonty, and Kaushik Deb
11. Detecting Depression from Social Media Posts Using Comprehensive Machine Learning Approaches with TF-IDF and N-Grams.
Prashant Karna, Sonu Kumar Keshari, and Ashis Kumar Mandal
12. An Ensemble Approach and Comparison of LSTM, Bi-LSTM, and GNN Models to Predict Protein Secondary Structure.
Arifur Rahman, Anik Mahmud, and Pintu Chandra Shill
13. Psychological Stress Prediction of Human Using Machine Learning Algorithms.
M. Raihan, Anindya Nag, Md. Mehedi Hassan, and Anupam Kumar Bairagi
14. Face Mask Detection Using CNN: Ensuring Safety During COVID-19.
Md. Hasan Imam Shihab, Omair Bin Abdur Rahman, Raunaq Tabbassum, Razoana Ayshee, and Ahmed Wasif Reza
15. Approximating the Survival Possibility of Post Thoracic Surgery for Lung Cancer using Machine Learning.
Anika Tasnim Islam, Md. Rifat Hasan, S. M. Nahid Hasan, and Fauzia Yasmeen
16. Time-Frequency Analysis using fNIRS Signal for Pain Detection on Hemodynamic Response.
Sheikh Md. Rabiul Islam and Rahatara Hena Somprity
17. A Study on Different SVM Kernels with Suitable Pre-Processing Technique and Parameter Optimization for Cardiovascular Disease Prediction.
Md. Shakowat Zaman Sarker, Sheikh Farhana Binte Ahmed, Ali Ahmed Ave, and Tahsin Abrar Nabil
Editor(s)
Biography
Dr. Nazmul Siddique is a researcher at the School of Computing, Engineering, and Intelligent Systems, Ulster University. He has published over 170 research papers and several books on cybernetics and computational intelligence. His editorial roles in top journals highlight his academic influence and contributions.
Dr. Mohammad Shamsul Arefin is a professor at the Department of CSE, CUET, and Dean of Electrical and Computer Engineering. He has over 170 publications in journals and conferences on data mining, distributed computing, and machine learning. His leadership has significantly fostered research growth and academic excellence in many aspects.
Dr. Md Zahid Hasan is an Associate Professor in the Department of Computer Science and Engineering at Daffodil International University. His research expertise includes machine learning, artificial intelligence, deep learning, bioinformatics, computer vision, health informatics, and decision theory. He has published over 60 articles in high-ranking journals and conferences and is the director of the Health Informatics Research Lab (HIRL).
Dr. M Shamim Kaiser is a professor and Chairman at the Institute of Information Technology, Jahangirnagar University. He has authored over 100 research papers on machine learning, cyber security, and cognitive radio networks. His leadership at IIT has driven academic and research excellence in ICT.
