11 Ambulance booking and tracking website
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Debangshu Ghosh
Abstract
MedWheels is a pioneering solution revolutionizing emergency medical transportation, inspired by the seamless efficiency of ridesharing services like Uber and Ola. MedWheels offers an intuitive web application that connects individuals in need with prompt and professional ambulance services. Users can quickly request an ambulance to their location, by simply specifying their destination. Our platform ensures every journey is conducted by certified medical professionals, in state-of-the-art ambulances outfitted with life-saving equipment. Real-time tracking provides users with transparency and peace of mind throughout the transport process. With options for specialized medical care, wheelchair accessibility, and efficient routing algorithms, MedWheels prioritizes user safety, comfort, and timely response. By leveraging technology and innovation, MedWheels aims to bridge the gap between medical assistance and those in need, making emergency healthcare more accessible and reliable for communities. Join us in our mission to create a safer, more efficient future for emergency medical transportation.
Abstract
MedWheels is a pioneering solution revolutionizing emergency medical transportation, inspired by the seamless efficiency of ridesharing services like Uber and Ola. MedWheels offers an intuitive web application that connects individuals in need with prompt and professional ambulance services. Users can quickly request an ambulance to their location, by simply specifying their destination. Our platform ensures every journey is conducted by certified medical professionals, in state-of-the-art ambulances outfitted with life-saving equipment. Real-time tracking provides users with transparency and peace of mind throughout the transport process. With options for specialized medical care, wheelchair accessibility, and efficient routing algorithms, MedWheels prioritizes user safety, comfort, and timely response. By leveraging technology and innovation, MedWheels aims to bridge the gap between medical assistance and those in need, making emergency healthcare more accessible and reliable for communities. Join us in our mission to create a safer, more efficient future for emergency medical transportation.
Kapitel in diesem Buch
- Frontmatter I
- Contents V
- List of Contributing Authors VII
- 1 Introduction: fundamentals of drug discovery, telemedicine, artificial intelligence, computer vision, and IoT 1
- 2 Machine learning transformations in drug discovery: a paradigm shift in development strategies 11
- 3 Explainable AI approaches in drug classification from biomarkers of epileptic seizure 27
- 4 Harnessing predictive analytics and machine learning in personalized medicine: patient outcomes and public health strategies 41
- 5 A data-driven framework for future healthcare diagnosis through predictive analytics 59
- 6 Revolutionizing home healthcare: telemedicine, predictive analytics, and AI-driven drug discovery 71
- 7 AI-driven insights: a machine learning approach to lung cancer diagnosis 91
- 8 Efficient gene selection for breast cancer classification using Brownian Motion Search Algorithm and Support Vector Machine 109
- 9 A hybrid feature gene selection approach by integrating variance filter, extremely randomized tree, and Cuckoo Search algorithm for cancer classification 127
- 10 HySleep_Net: a hybrid deep learning model for automatic sleep stage detection from polysomnographic signals 151
- 11 Ambulance booking and tracking website 183
- 12 Entropy based emergency rescue location selection with uncertain travel time 207
- 13 Performance comparison of different deep learning ensemble models for sentiment classification of movie reviews 225
- 14 Elevating standards in homoeopathic medicine: chemometric standardization of medicinal plant for quality assurance 253
- 15 Evaluation of genetic diversity in Rauvolfia species using Random Amplification of Polymorphic DNA (RAPD) technique 259
- Index
Kapitel in diesem Buch
- Frontmatter I
- Contents V
- List of Contributing Authors VII
- 1 Introduction: fundamentals of drug discovery, telemedicine, artificial intelligence, computer vision, and IoT 1
- 2 Machine learning transformations in drug discovery: a paradigm shift in development strategies 11
- 3 Explainable AI approaches in drug classification from biomarkers of epileptic seizure 27
- 4 Harnessing predictive analytics and machine learning in personalized medicine: patient outcomes and public health strategies 41
- 5 A data-driven framework for future healthcare diagnosis through predictive analytics 59
- 6 Revolutionizing home healthcare: telemedicine, predictive analytics, and AI-driven drug discovery 71
- 7 AI-driven insights: a machine learning approach to lung cancer diagnosis 91
- 8 Efficient gene selection for breast cancer classification using Brownian Motion Search Algorithm and Support Vector Machine 109
- 9 A hybrid feature gene selection approach by integrating variance filter, extremely randomized tree, and Cuckoo Search algorithm for cancer classification 127
- 10 HySleep_Net: a hybrid deep learning model for automatic sleep stage detection from polysomnographic signals 151
- 11 Ambulance booking and tracking website 183
- 12 Entropy based emergency rescue location selection with uncertain travel time 207
- 13 Performance comparison of different deep learning ensemble models for sentiment classification of movie reviews 225
- 14 Elevating standards in homoeopathic medicine: chemometric standardization of medicinal plant for quality assurance 253
- 15 Evaluation of genetic diversity in Rauvolfia species using Random Amplification of Polymorphic DNA (RAPD) technique 259
- Index
