Buku Smart AI-Based Telemedicine System for COVID-19 – Monograph revised edition–

Rp 143.000

 
Penulis Nunung Nurul Qomariyah, Ph.D. Dr. Dimitar Kazakov
Institusi
Kategori Buku Referensi
Bidang Ilmu Sains dan Teknologi
ISBN 978-623-02-5232-7
Ukuran 15.5×23 cm
Halaman xvi, 74 hlm
Ketersediaan Pesan Dulu
Tahun 2022
Pengiriman

Dikirim dari Sleman, Yogyakarta

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Sinopsis Buku Smart AI-Based Telemedicine System for COVID-19 – Monograph revised edition–

Buku Smart AI-Based Telemedicine System for COVID-19 – Monograph revised edition–

COVID-19 is a disease that attacks the human respiratory system. The outbreak of this disease has been declared as a pandemic by the World Health Organization (WHO) since 2020. COVID-19 condition requires the health practitioners to be more restrictive and protective in handling the infected patients. The lack of medical staff and Personal Protective Equipment (PPE) restricts the health service provider’s capacity to manage the epidemic. Indonesia as the largest archipelagic country in the world has its own challenges in fighting the pandemic. Some people in rural areas still have difficulty accessing good health facilities. This condition can also be an inhibiting factor in accelerating the handling of the COVID-19 pandemic.

In this book, we demonstrate our research proposing an AI-based telemedicine system to fight COVID-19. This system can reduce direct contact between the health workers and the patients. The telemedicine system also allows two-way communication between the patients and the doctors from a distance. The telemedicine system is equipped with an AI-based module that can help the doctors to gather an initial description of the patient’s condition. We focus on the explainable AI which is able to allow a human interpretation of what is learned through machine learning. The proposed solution is not only building the intelligent telemedicine application but also allowing the medical experts to validate the resulting models, e.g., via suitable visualizations. This feature will become an advantage of our proposed solution when compared to the other existing telemedicine applications on the market.

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