Healthcare solutions using machine learning and informatics:
Gespeichert in:
Weitere Verfasser: | , , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press
2023
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Ausgabe: | First edition |
Schriftenreihe: | Healthcare informatics
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Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis Klappentext |
Beschreibung: | XI, 254 Seiten Illustrationen, Diagramme |
ISBN: | 9781032201986 9781032345222 |
Internformat
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Datensatz im Suchindex
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adam_text | Contents Preface..................................................................................................................... vii Acknowledgments ....................................................................................................xi 1 Introduction to Artificial Intelligence in Healthcare.................................. 1 DIVYÄNI JIGYASU, SUNIL KUMAR, RAJVEER SINGH SHEKHAWAT AND SHALLYVATS 2 Machine Learning in Radio Imaging.......................................................... 25 NITESH PRADHAN, PUNIT GUPTA AND ANITA SHROTRIYA 3 Solutions Using Machine Learning for Diabetes..................................... 39 JABAR H. YOUSIF, KASHIF ZIA AND DURGESH SRIVASTAVA 4 A Highly Reliable Machine Learning Algorithm for Cardiovascular Disease Prediction................................................................................. 61 HORESH KUMAR, TARUN JAIN, KARTIK SONI, AMISHA GUPTA, RISHI GUPTA, ARJUN SINGH AND ADITYA SINHA 5 Machine Learning Algorithms for Industry Using Image Sensing........ 75 AAKASH DHALL, HEMANT К UPADHYAY, SAPNA JUNEJA AND ABHINAV JUNEJA 6 Solutions Using Machine Learning for COVID-19..................................99 MUHAMMAD SHAFI, KASHIF ZIA AND JABAR H. YOUSIF 7 Big Data Analytics in Healthcare Data Processing................................. 123 TANVEER AHMED, RISHAV SINGH AND RITIKA SINGH 8 Reliable Biomedical Applications Using AI Models...............................147 SHAMBHAVI MISHRA, TANVEER AHMED AND VIPUL MISHRA 9 Plant Disease Detection Using Imaging Sensors, Deep Learning and Machine Learning for Smart
Farming....................................... 173 CHANCHAL UPADHYAY, HEMANT К UPADHYAY, SAPNA JUNEJA AND ABHINAV JUNEJA v
vi 10 ■ Contents ІоТ Application fot Healthcare.................................................................... 187 MONIKA SHARMA, HEMANT К UPADHYAY, SAPŅA JUNEJA AND ABHINAV JUNEJA 11 Machine Learning Techniques for Prediction of Diabetes..................... 205 TARUN JAIN, PAYAL GARG, JALAK YOGESH PATEL, DIV CHAUDHARY, HORESH KUMAR, VIVEK K. VERMA AND RISHI GUPTA 12 Use of Machine Learning in Healthcare..................................................... 237 ISHITA MEHTA AND ARNAAV ANAND Index......................................................................................................................... ..251
Healthcare Solutions Using Machine Learning and Informatics Healthcare Solutions Using Machine Learning and Informatics covers novel and innovative solutions for healthcare that apply machine learning and biomedical informatics technology. The healthcare sector is one of the most critical in society. This book presents a series of artificial intelligence, machine learning, and intelligent loT-based solutions for medical image analysis, medical big-data processing, and disease predictions. Machine learning and artificial intelligence use cases in healthcare presented in the book give researchers, practitioners, and students a wide range of practical examples of cross-domain convergence. The wide variety of topics covered include: • Artificial Intelligence in healthcare • Machine learning solutions for such disease as diabetes, arthritis, cardiovascular disease, and COVID-19 • Big data analytics solutions for healthcare data processing • Reliable biomedical applications using Al models • Intelligent loT in healthcare The book explains fundamental concepts as well as the advanced use cases, illustrating how to apply emerging technologies such as machine learning, Al models, and data informatics into practice to tackle challenges in the field of healthcare with real-world scenarios. Chapters contributed by noted academicians and professionals examine various solutions, frameworks, applications, case studies, and best practices in the healthcare domain.
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adam_txt |
Contents Preface. vii Acknowledgments .xi 1 Introduction to Artificial Intelligence in Healthcare. 1 DIVYÄNI JIGYASU, SUNIL KUMAR, RAJVEER SINGH SHEKHAWAT AND SHALLYVATS 2 Machine Learning in Radio Imaging. 25 NITESH PRADHAN, PUNIT GUPTA AND ANITA SHROTRIYA 3 Solutions Using Machine Learning for Diabetes. 39 JABAR H. YOUSIF, KASHIF ZIA AND DURGESH SRIVASTAVA 4 A Highly Reliable Machine Learning Algorithm for Cardiovascular Disease Prediction. 61 HORESH KUMAR, TARUN JAIN, KARTIK SONI, AMISHA GUPTA, RISHI GUPTA, ARJUN SINGH AND ADITYA SINHA 5 Machine Learning Algorithms for Industry Using Image Sensing. 75 AAKASH DHALL, HEMANT К UPADHYAY, SAPNA JUNEJA AND ABHINAV JUNEJA 6 Solutions Using Machine Learning for COVID-19.99 MUHAMMAD SHAFI, KASHIF ZIA AND JABAR H. YOUSIF 7 Big Data Analytics in Healthcare Data Processing. 123 TANVEER AHMED, RISHAV SINGH AND RITIKA SINGH 8 Reliable Biomedical Applications Using AI Models.147 SHAMBHAVI MISHRA, TANVEER AHMED AND VIPUL MISHRA 9 Plant Disease Detection Using Imaging Sensors, Deep Learning and Machine Learning for Smart
Farming. 173 CHANCHAL UPADHYAY, HEMANT К UPADHYAY, SAPNA JUNEJA AND ABHINAV JUNEJA v
vi 10 ■ Contents ІоТ Application fot Healthcare. 187 MONIKA SHARMA, HEMANT К UPADHYAY, SAPŅA JUNEJA AND ABHINAV JUNEJA 11 Machine Learning Techniques for Prediction of Diabetes. 205 TARUN JAIN, PAYAL GARG, JALAK YOGESH PATEL, DIV CHAUDHARY, HORESH KUMAR, VIVEK K. VERMA AND RISHI GUPTA 12 Use of Machine Learning in Healthcare. 237 ISHITA MEHTA AND ARNAAV ANAND Index. .251
Healthcare Solutions Using Machine Learning and Informatics Healthcare Solutions Using Machine Learning and Informatics covers novel and innovative solutions for healthcare that apply machine learning and biomedical informatics technology. The healthcare sector is one of the most critical in society. This book presents a series of artificial intelligence, machine learning, and intelligent loT-based solutions for medical image analysis, medical big-data processing, and disease predictions. Machine learning and artificial intelligence use cases in healthcare presented in the book give researchers, practitioners, and students a wide range of practical examples of cross-domain convergence. The wide variety of topics covered include: • Artificial Intelligence in healthcare • Machine learning solutions for such disease as diabetes, arthritis, cardiovascular disease, and COVID-19 • Big data analytics solutions for healthcare data processing • Reliable biomedical applications using Al models • Intelligent loT in healthcare The book explains fundamental concepts as well as the advanced use cases, illustrating how to apply emerging technologies such as machine learning, Al models, and data informatics into practice to tackle challenges in the field of healthcare with real-world scenarios. Chapters contributed by noted academicians and professionals examine various solutions, frameworks, applications, case studies, and best practices in the healthcare domain. |
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spelling | Healthcare solutions using machine learning and informatics edited by Punit Gupta, Dinesh Kumar Saini, Rohit Verma First edition Boca Raton ; London ; New York CRC Press 2023 XI, 254 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Healthcare informatics Datenverarbeitung (DE-588)4011152-0 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Medizin (DE-588)4038243-6 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Medizin (DE-588)4038243-6 s Datenverarbeitung (DE-588)4011152-0 s Maschinelles Lernen (DE-588)4193754-5 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Gupta, Punit ca. 20./21. Jh. (DE-588)1275410928 edt Saini, Dinesh Kumar 1974- (DE-588)1255312718 edt Verma, Rohit (DE-588)171791037 edt Erscheint auch als Online-Ausgabe 978-1-003-32259-7 Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033921299&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033921299&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
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title | Healthcare solutions using machine learning and informatics |
title_auth | Healthcare solutions using machine learning and informatics |
title_exact_search | Healthcare solutions using machine learning and informatics |
title_exact_search_txtP | Healthcare solutions using machine learning and informatics |
title_full | Healthcare solutions using machine learning and informatics edited by Punit Gupta, Dinesh Kumar Saini, Rohit Verma |
title_fullStr | Healthcare solutions using machine learning and informatics edited by Punit Gupta, Dinesh Kumar Saini, Rohit Verma |
title_full_unstemmed | Healthcare solutions using machine learning and informatics edited by Punit Gupta, Dinesh Kumar Saini, Rohit Verma |
title_short | Healthcare solutions using machine learning and informatics |
title_sort | healthcare solutions using machine learning and informatics |
topic | Datenverarbeitung (DE-588)4011152-0 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Medizin (DE-588)4038243-6 gnd |
topic_facet | Datenverarbeitung Maschinelles Lernen Künstliche Intelligenz Medizin Aufsatzsammlung |
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