Healthcare Analytics Made Simple: Techniques in healthcare computing using machine learning and Python
bAdd a touch of data analytics to your healthcare systems and get insightful outcomes/b h4Key Features/h4 ulliPerform healthcare analytics with Python and SQL /li liBuild predictive models on real healthcare data with pandas and scikit-learn /li liUse analytics to improve healthcare performance/li/u...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2018
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| Ausgabe: | 1 |
| Schlagworte: | |
| Zusammenfassung: | bAdd a touch of data analytics to your healthcare systems and get insightful outcomes/b h4Key Features/h4 ulliPerform healthcare analytics with Python and SQL /li liBuild predictive models on real healthcare data with pandas and scikit-learn /li liUse analytics to improve healthcare performance/li/ul h4Book Description/h4 In recent years, machine learning technologies and analytics have been widely utilized across the healthcare sector. Healthcare Analytics Made Simple bridges the gap between practising doctors and data scientists. It equips the data scientists' work with healthcare data and allows them to gain better insight from this data in order to improve healthcare outcomes. This book is a complete overview of machine learning for healthcare analytics, briefly describing the current healthcare landscape, machine learning algorithms, and Python and SQL programming languages. The step-by-step instructions teach you how to obtain real healthcare data and perform descriptive, predictive, and prescriptive analytics using popular Python packages such as pandas and scikit-learn. The latest research results in disease detection and healthcare image analysis are reviewed. By the end of this book, you will understand how to use Python for healthcare data analysis, how to import, collect, clean, and refine data from electronic health record (EHR) surveys, and how to make predictive models with this data through real-world algorithms and code examples. h4What you will learn/h4 ulliGain valuable insight into healthcare incentives, finances, and legislation /li liDiscover the connection between machine learning and healthcare processes /li liUse SQL and Python to analyze data /li liMeasure healthcare quality and provider performance /li liIdentify features and attributes to build successful healthcare models /li liBuild predictive models using real-world healthcare data /li liBecome an expert in predictive modeling with structured clinical data /li liSee what lies ahead for healthcare analytics/li/ul h4Who this book is for/h4 Healthcare Analytics Made Simple is for you if you are a developer who has a working knowledge of Python or a related programming language, although you are new to healthcare or predictive modeling with healthcare data. Clinicians interested in analytics and healthcare computing will also benefit from this book. |
| Beschreibung: | 1 Online-Ressource (268 Seiten) |
| ISBN: | 9781787283220 |
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| 520 | |a The step-by-step instructions teach you how to obtain real healthcare data and perform descriptive, predictive, and prescriptive analytics using popular Python packages such as pandas and scikit-learn. The latest research results in disease detection and healthcare image analysis are reviewed. By the end of this book, you will understand how to use Python for healthcare data analysis, how to import, collect, clean, and refine data from electronic health record (EHR) surveys, and how to make predictive models with this data through real-world algorithms and code examples. | ||
| 520 | |a h4What you will learn/h4 ulliGain valuable insight into healthcare incentives, finances, and legislation /li liDiscover the connection between machine learning and healthcare processes /li liUse SQL and Python to analyze data /li liMeasure healthcare quality and provider performance /li liIdentify features and attributes to build successful healthcare models /li liBuild predictive models using real-world healthcare data /li liBecome an expert in predictive modeling with structured clinical data /li liSee what lies ahead for healthcare analytics/li/ul h4Who this book is for/h4 Healthcare Analytics Made Simple is for you if you are a developer who has a working knowledge of Python or a related programming language, although you are new to healthcare or predictive modeling with healthcare data. Clinicians interested in analytics and healthcare computing will also benefit from this book. | ||
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| spelling | Kumar, Vikas (Vik) Verfasser aut Healthcare Analytics Made Simple Techniques in healthcare computing using machine learning and Python Kumar, Vikas (Vik) 1 Birmingham Packt Publishing Limited 2018 1 Online-Ressource (268 Seiten) txt rdacontent c rdamedia cr rdacarrier bAdd a touch of data analytics to your healthcare systems and get insightful outcomes/b h4Key Features/h4 ulliPerform healthcare analytics with Python and SQL /li liBuild predictive models on real healthcare data with pandas and scikit-learn /li liUse analytics to improve healthcare performance/li/ul h4Book Description/h4 In recent years, machine learning technologies and analytics have been widely utilized across the healthcare sector. Healthcare Analytics Made Simple bridges the gap between practising doctors and data scientists. It equips the data scientists' work with healthcare data and allows them to gain better insight from this data in order to improve healthcare outcomes. This book is a complete overview of machine learning for healthcare analytics, briefly describing the current healthcare landscape, machine learning algorithms, and Python and SQL programming languages. The step-by-step instructions teach you how to obtain real healthcare data and perform descriptive, predictive, and prescriptive analytics using popular Python packages such as pandas and scikit-learn. The latest research results in disease detection and healthcare image analysis are reviewed. By the end of this book, you will understand how to use Python for healthcare data analysis, how to import, collect, clean, and refine data from electronic health record (EHR) surveys, and how to make predictive models with this data through real-world algorithms and code examples. h4What you will learn/h4 ulliGain valuable insight into healthcare incentives, finances, and legislation /li liDiscover the connection between machine learning and healthcare processes /li liUse SQL and Python to analyze data /li liMeasure healthcare quality and provider performance /li liIdentify features and attributes to build successful healthcare models /li liBuild predictive models using real-world healthcare data /li liBecome an expert in predictive modeling with structured clinical data /li liSee what lies ahead for healthcare analytics/li/ul h4Who this book is for/h4 Healthcare Analytics Made Simple is for you if you are a developer who has a working knowledge of Python or a related programming language, although you are new to healthcare or predictive modeling with healthcare data. Clinicians interested in analytics and healthcare computing will also benefit from this book. COMPUTERS / Data Processing COMPUTERS / Databases / Data Mining |
| spellingShingle | Kumar, Vikas (Vik) Healthcare Analytics Made Simple Techniques in healthcare computing using machine learning and Python COMPUTERS / Data Processing COMPUTERS / Databases / Data Mining |
| title | Healthcare Analytics Made Simple Techniques in healthcare computing using machine learning and Python |
| title_auth | Healthcare Analytics Made Simple Techniques in healthcare computing using machine learning and Python |
| title_exact_search | Healthcare Analytics Made Simple Techniques in healthcare computing using machine learning and Python |
| title_exact_search_txtP | Healthcare Analytics Made Simple Techniques in healthcare computing using machine learning and Python |
| title_full | Healthcare Analytics Made Simple Techniques in healthcare computing using machine learning and Python Kumar, Vikas (Vik) |
| title_fullStr | Healthcare Analytics Made Simple Techniques in healthcare computing using machine learning and Python Kumar, Vikas (Vik) |
| title_full_unstemmed | Healthcare Analytics Made Simple Techniques in healthcare computing using machine learning and Python Kumar, Vikas (Vik) |
| title_short | Healthcare Analytics Made Simple |
| title_sort | healthcare analytics made simple techniques in healthcare computing using machine learning and python |
| title_sub | Techniques in healthcare computing using machine learning and Python |
| topic | COMPUTERS / Data Processing COMPUTERS / Databases / Data Mining |
| topic_facet | COMPUTERS / Data Processing COMPUTERS / Databases / Data Mining |
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