Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Healthcare Analytics Made Simple
Healthcare Analytics Made Simple

Healthcare Analytics Made Simple: Techniques in healthcare computing using machine learning and Python

eBook
€17.99 €26.99
Paperback
€32.99
Subscription
Free Trial
Renews at €18.99p/m

What do you get with Print?

Product feature icon Instant access to your digital eBook copy whilst your Print order is Shipped
Product feature icon Paperback book shipped to your preferred address
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Table of content icon View table of contents Preview book icon Preview Book

Healthcare Analytics Made Simple

Healthcare Foundations

This chapter is mainly aimed at developers who have limited experience of healthcare. By the end of it, you will be able to describe basic characteristics of healthcare delivery in the United States, you will be familiar with specific legislation in the US that is relevant to analytics, you will understand how data in healthcare is structured, organized, and coded, and you will be aware of frameworks for thinking about analytics in healthcare.

Healthcare delivery in the US

The healthcare industry impacts all of us, through its interactions with ourselves, our loved ones, our family, and our friends. The high costs associated with the healthcare industry are intertwined with the physical, emotional, and spiritual trauma that occurs when someone close to us becomes ill or feels pain.

In the United States, the healthcare system is in a fragile state, as healthcare expenditure exceeds 15% of the nation's total GDP; this proportion far exceeds that of other developed countries, and is expected to rise to at least 20% by the year 2040 (Braunstein, 2014; Bernaert, 2015). The rise in healthcare costs in the US, and internationally, can be attributed to several factors. One is a shift in demographics to a more elderly population. Average life expectancy (LE) rose to in excess of 80 years of age for the first time in 2011...

Patient data – the journey from patient to computer

The clinical data collection process starts when a patient starts telling a physician about his or her condition. This is known as the patient history, and since it is not observed directly by the physician, but instead recounted by the patient, the patient’s story is known as subjective information. In contrast, objective information comes from the physician and consists of the physician's own observations about the patient, from the physical examination, lab tests, and imaging studies, to other diagnostic procedures. Together, the subjective and objective information makes up the clinical note.

There are several types of clinical notes used in healthcare. The history and physical (H&P) is the most thorough and comprehensive clinical note. It is usually obtained when an outpatient physician sees a patient...

Standardized clinical codesets

Being philosophical for a moment, every known object that has a significant importance attributed to it has a name. The organs you are using to read these words are known as eyes. The words are written on pieces of paper called pages. To turn the pages, you use your hands. These are all objects that we have named so that we can identify them easily.

In healthcare, important entities—diseases, procedures, lab tests, drugs, symptoms, bacteria species, for example, have names and identities too. For example, the failure of the heart valves to pump blood to the rest of the body is known as heart failure. ACE inhibitors are a class of drugs used to treat heart failure.

A problem arises, however, when healthcare industry workers associate the same entity with different identities. For example, one physician may refer to "heart failure&quot...

Breaking down healthcare analytics

So you've decided to enter the world of analytics, and you know you want to focus on the healthcare industry. However, that barely narrows down the problem space, as there are hundreds of open problems in healthcare that are being addressed with machine learning and other analytical tools. If you have ever typed the words "machine learning in healthcare" into Google or PubMed, you have probably discovered how vast the ocean of machine learning use cases in healthcare is. In academia, publications focus on problems ranging from predicting dementia onset in the elderly to predicting the occurrence of a heart attack within six months to predicting which antidepressants patients will best respond to. How do you pick the problem on which to focus? This section is all about answering that question. Choosing the appropriate problem to...

Summary

In Chapter 1, Introduction to Healthcare Analytics, we introduced the Healthcare Analytics triumvirate of healthcare, mathematics, and computer science. In this chapter, we have looked at some foundational healthcare topics. In Chapter 3, Machine Learning Foundations, we will look at some of the mathematical and machine learning concepts that underlie healthcare analytics.

References and further reading

Bernaert, Arnaud (2015). "Five Global Health Trends You Can't Ignore." UPS Longitudes. April 13, 2015. longitudes.ups.com/five-global-health-trends-you-cant-ignore/.

Braunstein, Mark (2014). Contemporary Health Informatics. Chicago, IL: AHIMA Press.

Esfandiari N, Babavalian MR, Moghadam A-ME, Tabar VK (2014) Knowledge discovery in medicine: current issue and future trend. Expert Syst Appl 41(9): 4434–4463.

Martin, GJ (2005). "Screening and Prevention of Disease." In Kasper DL, Braunwald E, Fauci AS, Hauser SL, Longo DL, Jameson JL. eds. Harrison's Principles of Internal Medicine, 16e. New York, NY: McGraw-Hill.

OECD (2013), Health at a Glance 2013: OECD Indicators, OECD Publishing. http://dx.doi.org/10.1787/health_glance-2013-en.

Smith, Robert C (1996). The Patient's Story. Boston, MA: Little, Brown.

US Department...

Left arrow icon Right arrow icon
Download code icon Download Code

Key benefits

  • Perform healthcare analytics with Python and SQL
  • Build predictive models on real healthcare data with pandas and scikit-learn
  • Use analytics to improve healthcare performance

Description

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.

Who is this book for?

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. This book can also serve as a textbook for students enrolled in an introductory course on machine learning for healthcare.

What you will learn

  • Gain valuable insight into healthcare incentives, finances, and legislation
  • Discover the connection between machine learning and healthcare processes
  • Use SQL and Python to analyze data
  • Measure healthcare quality and provider performance
  • Identify features and attributes to build successful healthcare models
  • Build predictive models using real-world healthcare data
  • Become an expert in predictive modeling with structured clinical data
  • See what lies ahead for healthcare analytics
Estimated delivery fee Deliver to France

Premium delivery 7 - 10 business days

€10.95
(Includes tracking information)

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 31, 2018
Length: 268 pages
Edition : 1st
Language : English
ISBN-13 : 9781787286702
Category :
Languages :
Concepts :

What do you get with Print?

Product feature icon Instant access to your digital eBook copy whilst your Print order is Shipped
Product feature icon Paperback book shipped to your preferred address
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Estimated delivery fee Deliver to France

Premium delivery 7 - 10 business days

€10.95
(Includes tracking information)

Product Details

Publication date : Jul 31, 2018
Length: 268 pages
Edition : 1st
Language : English
ISBN-13 : 9781787286702
Category :
Languages :
Concepts :

Packt Subscriptions

See our plans and pricing
Modal Close icon
€18.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
€189.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just €5 each
Feature tick icon Exclusive print discounts
€264.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just €5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total 85.97
Healthcare Analytics Made Simple
€32.99
Deep Learning By Example
€32.99
Machine Learning for Healthcare Analytics Projects
€19.99
Total 85.97 Stars icon

Table of Contents

10 Chapters
Introduction to Healthcare Analytics Chevron down icon Chevron up icon
Healthcare Foundations Chevron down icon Chevron up icon
Machine Learning Foundations Chevron down icon Chevron up icon
Computing Foundations – Databases Chevron down icon Chevron up icon
Computing Foundations – Introduction to Python Chevron down icon Chevron up icon
Measuring Healthcare Quality Chevron down icon Chevron up icon
Making Predictive Models in Healthcare Chevron down icon Chevron up icon
Healthcare Predictive Models – A Review Chevron down icon Chevron up icon
The Future – Healthcare and Emerging Technologies Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Most Recent
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4
(8 Ratings)
5 star 75%
4 star 0%
3 star 12.5%
2 star 12.5%
1 star 0%
Filter icon Filter
Most Recent

Filter reviews by




J. Weeks May 19, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Great overview of several broad topics. The book was exceptionally well written in an easy to read and referencable manner. I would highly recommend the book to anyone new to the healthcare industry or interested in learning advanced analytics with Python.
Amazon Verified review Amazon
M. D. Reader Mar 17, 2020
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
What the book does well: I thought the most useful part of the book was an overview of the United States Healthcare system and how healthcare has changed after the Affordable Care Act. This includes Meaningful Use for electronic health records and accountable care organizations. The book is also good for some terminology related to medical claims and payer data such as International Statistical Classification of Diseases (ICD) ICD10 diagnosis codes, and Current Procedural Terminology (CPT) for medical procedures.What could have been better: There is very little Python code in a book advertised as being about machine learning and Python programming. The few chapters that do contain Python code have some pretty trivial examples, like calculating the means and counts by group of a dataset using Pandas and NumPy, and training a very basic linear regression classifier with scikit-learn on a tiny dataset. The only real-world data given as an example is the Hospital Ambulatory Medical Care Survey (NHAMCS) from the CDC’s website. Chances are if you’re doing any kind of healthcare data analytics you will be working with medical claims data and clinical data from an electronic health record and I wish the book had given more examples using these types of data. Also, healthcare data gets messy pretty quickly, some examples and strategies on how to assure data quality would have been appreciated.It’s an okay book about healthcare data and the United States healthcare industry. You might be better served by a book specifically about machine learning and applying it to healthcare data.
Amazon Verified review Amazon
SeattleAndrew Mar 01, 2020
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
This book is long on talking about healthcare analytics which it should t need, vs what it promoted itself as an example for code that was healthcare based.I feel like many of chapters Are refreshers on basics vs in depth work on algorithms and founds on probability how much specifically applies to healthcare issues.I feel like of the 100 page book only about 5 to 10 pages are of value, not even that much value.I just dropped the review down another star as I was really looking for ward to a complex “made simple” analytics read about application of healthcare.Instead of the basics refresher course on course versus advanced healthcare.Which is the name of the book, “blah blah blah made simple” which is obvious to every industry, a very tiny portion is specific to only healthcare.This book should be republished 2nd edition as 10 page pamphlet on healthcare analytics, the rest could be found on a five to ten minute search of LinkedIn for paper saving sake.
Amazon Verified review Amazon
Aalap Shah, MD Jan 17, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
As an anesthesiologist, I have found that our specialty has shifted from traditional experience and bench/lab research to data-drive approaches in optimizing our patients' outcomes. As more patients enter the US hospital systems, more and more data points are being combined to help establish trends and extrapolate future results.While I personally have limited experience with data mining at different institutions (e.g. SQL), this primer helps even the least computer-savvy person read between the lines of the data-heavy EHR. One can understand how data points can start to be manipulated for research or quality/process improvement purposes. The primer does a great job of address important and trendy topics in healthcare quality improvement by empowering the reader with the tools to create predictive models for outcomes, code and analyze diagnoses and sub-groups, and plot data in a way that C-Suite and physicians alike can appreciate and understand.Overall, a very thorough primer that flows well between the tenets of knowledge germane to medical specialties and helps to create a dialog between non-programming physicians and analysts seeking to improve the healthcare system.
Amazon Verified review Amazon
DI Jul 07, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Excellent book to learn and to apply ML in healthcare.It s very well writen, so everybody can understand. I used this book as guideline for my project.
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is the delivery time and cost of print book? Chevron down icon Chevron up icon

Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela
What is custom duty/charge? Chevron down icon Chevron up icon

Customs duty are charges levied on goods when they cross international borders. It is a tax that is imposed on imported goods. These duties are charged by special authorities and bodies created by local governments and are meant to protect local industries, economies, and businesses.

Do I have to pay customs charges for the print book order? Chevron down icon Chevron up icon

The orders shipped to the countries that are listed under EU27 will not bear custom charges. They are paid by Packt as part of the order.

List of EU27 countries: www.gov.uk/eu-eea:

A custom duty or localized taxes may be applicable on the shipment and would be charged by the recipient country outside of the EU27 which should be paid by the customer and these duties are not included in the shipping charges been charged on the order.

How do I know my custom duty charges? Chevron down icon Chevron up icon

The amount of duty payable varies greatly depending on the imported goods, the country of origin and several other factors like the total invoice amount or dimensions like weight, and other such criteria applicable in your country.

For example:

  • If you live in Mexico, and the declared value of your ordered items is over $ 50, for you to receive a package, you will have to pay additional import tax of 19% which will be $ 9.50 to the courier service.
  • Whereas if you live in Turkey, and the declared value of your ordered items is over € 22, for you to receive a package, you will have to pay additional import tax of 18% which will be € 3.96 to the courier service.
How can I cancel my order? Chevron down icon Chevron up icon

Cancellation Policy for Published Printed Books:

You can cancel any order within 1 hour of placing the order. Simply contact customercare@packt.com with your order details or payment transaction id. If your order has already started the shipment process, we will do our best to stop it. However, if it is already on the way to you then when you receive it, you can contact us at customercare@packt.com using the returns and refund process.

Please understand that Packt Publishing cannot provide refunds or cancel any order except for the cases described in our Return Policy (i.e. Packt Publishing agrees to replace your printed book because it arrives damaged or material defect in book), Packt Publishing will not accept returns.

What is your returns and refunds policy? Chevron down icon Chevron up icon

Return Policy:

We want you to be happy with your purchase from Packtpub.com. We will not hassle you with returning print books to us. If the print book you receive from us is incorrect, damaged, doesn't work or is unacceptably late, please contact Customer Relations Team on customercare@packt.com with the order number and issue details as explained below:

  1. If you ordered (eBook, Video or Print Book) incorrectly or accidentally, please contact Customer Relations Team on customercare@packt.com within one hour of placing the order and we will replace/refund you the item cost.
  2. Sadly, if your eBook or Video file is faulty or a fault occurs during the eBook or Video being made available to you, i.e. during download then you should contact Customer Relations Team within 14 days of purchase on customercare@packt.com who will be able to resolve this issue for you.
  3. You will have a choice of replacement or refund of the problem items.(damaged, defective or incorrect)
  4. Once Customer Care Team confirms that you will be refunded, you should receive the refund within 10 to 12 working days.
  5. If you are only requesting a refund of one book from a multiple order, then we will refund you the appropriate single item.
  6. Where the items were shipped under a free shipping offer, there will be no shipping costs to refund.

On the off chance your printed book arrives damaged, with book material defect, contact our Customer Relation Team on customercare@packt.com within 14 days of receipt of the book with appropriate evidence of damage and we will work with you to secure a replacement copy, if necessary. Please note that each printed book you order from us is individually made by Packt's professional book-printing partner which is on a print-on-demand basis.

What tax is charged? Chevron down icon Chevron up icon

Currently, no tax is charged on the purchase of any print book (subject to change based on the laws and regulations). A localized VAT fee is charged only to our European and UK customers on eBooks, Video and subscriptions that they buy. GST is charged to Indian customers for eBooks and video purchases.

What payment methods can I use? Chevron down icon Chevron up icon

You can pay with the following card types:

  1. Visa Debit
  2. Visa Credit
  3. MasterCard
  4. PayPal
What is the delivery time and cost of print books? Chevron down icon Chevron up icon

Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela