If you liked Internet of Things and Machine Learning for Type I and Type II Diabetes by Sujata Dash, Subhendu Kumar Pani, Willy Susilo, Cheung Man Yung Bernard, and Gary Tse, start with Medical Robotics and Intelligent Healthcare Technologies (2025), Assessing COVID-19 and Other Pandemics and Epidemics Using Computational Modelling and Data Analysis (2022), and Advances in Bioinformatics and Big Data Analytics (2023). These recommendations are drawn from the same author, shared genres, and reader overlap on BookOrb.

Back to Internet of Things and Machine Learning for Type I and Type II Diabetes · Sujata Dash books in order

Recommended next reads

  1. 1 Medical Robotics and Intelligent Healthcare Technologies 2025 · 500 pages · Jacky Baltes, Soroush Sadeghnejad, Sujata Dash, Subhendu Kumar Pani · Same author
  2. 2 Assessing COVID-19 and Other Pandemics and Epidemics Using Computational Modelling and Data Analysis 2022 · 405 pages · Subhendu Kumar Pani, Sujata Dash, Wellington dos Santos, Syed Ahmad Chan Bukhari, Francesco Flammini · Same author
  3. 3 Advances in Bioinformatics and Big Data Analytics 2023 · 403 pages · Sujata Dash · Same author
  4. 4 Artificial Intelligence for Neurological Disorders 2022 · 500 pages · Sujata Dash, Subhendukumar Pani · Same author
  5. 5 Blockchain Technology in Healthcare - Concepts,Methodologies, and Applications 2023 · 280 pages · Nilayam Kumar Kamila, Sujata Dash, Subhendu Kumar Pani · Same author
  6. 6 Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing 2022 · 434 pages · Sujata Dash, Subhendu Kumar Pani, Yulan Liang · Same author
  7. 7 Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics 2022 · 384 pages · Sujata Dash, Subhendu Kumar Pani, Joel Jose P. Coelho Rodrigues, Babita Majhi · Same author
  8. 8 Handbook of Research on Computational Intelligence Applications in Bioinformatics 2016 · 416 pages · Sujata Dash, Bidyadhar Subudhi · Same author
  9. 9 Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms 2017 · 538 pages · Sujata Dash · Same author
  10. 10 Mining Biomedical Text, Images and Visual Features for Information Retrieval 2024 · 500 pages · Sujata Dash, Subhendu Kumar Pani, Jake Y Chen · Same author
  11. 11 Biomedical Data Mining for Information Retrieval 2021 · 500 pages · Sujata Dash, Subhendu Kumar Pani, S. Balamurugan · Same author
  12. 12 AI, Edge and IoT-based Smart Agriculture 2021 · 570 pages · Sujata Dash, Biswaranjan Acharya, Subhendu K. Pani · Same author

Frequently asked questions

What should I read after Internet of Things and Machine Learning for Type I and Type II Diabetes?

BookOrb recommends Medical Robotics and Intelligent Healthcare Technologies (2025), Assessing COVID-19 and Other Pandemics and Epidemics Using Computational Modelling and Data Analysis (2022), Advances in Bioinformatics and Big Data Analytics (2023), Artificial Intelligence for Neurological Disorders (2022), and Blockchain Technology in Healthcare - Concepts,Methodologies, and Applications (2023).

Are there books like Internet of Things and Machine Learning for Type I and Type II Diabetes?

Yes. The list on this page is ranked from the closest matches BookOrb has for Internet of Things and Machine Learning for Type I and Type II Diabetes.

Who wrote Internet of Things and Machine Learning for Type I and Type II Diabetes?

Internet of Things and Machine Learning for Type I and Type II Diabetes is by Sujata Dash, Subhendu Kumar Pani, Willy Susilo, Cheung Man Yung Bernard, and Gary Tse.