Analytics in Healthcare: a practical introduction
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Cham
Springer
[2019]
|
| Schriftenreihe: | Springer Briefs in Health Care Management and Economics
|
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030822630&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Umfang: | xi, 105 Seiten Illustrationen, Diagramme |
| ISBN: | 9783030045050 |
Internformat
MARC
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Datensatz im Suchindex
| _version_ | 1819250445570277376 |
|---|---|
| adam_text | Contents
1 Healthcare, Data Analytics, and Business Intelligence................... 1
1.1 Introduction..................................................... 2
1.2 Data and Information ............................................ 3
1.3 Decision-Making in Healthcare ................................... 3
1.4 Components of Healthcare Analytics.............................. 4
1.5 Measurement, Metrics, and Indicators ............................ 5
1.6 BI Technology and Architecture................................. 5
1.7 BI Applications in Healthcare.................................... 9
1.8 BI and Analytics Software Providers ............................ 10
1.9 Conclusion ..................................................... 12
References .......................................................... 12
2 Analytics Building Blocks.............................................. 15
2.1 Introduction.................................................... 15
2.2 The Analytics Landscape ........................................ 16
2.2.1 Types of Analytics (Descriptive, Diagnostic, Predictive,
Prescriptive) ........................................... 16
2.2.2 Statistics .............................................. 18
2.2.3 Information Processing and Communication................. 25
2.3 Conclusion ..................................................... 27
References........................................................... 28
3 Descriptive, Predictive, and Prescriptive Analytics ................... 31
3.1 Introduction.................................................... 32
3.2 Data Mining ................................................... 32
3.3 Machine Learning and AI......................................... 33
3.3.1 Supervised Learning...................................... 35
3.3.2 Unsupervised Learning................................... 36
3.3.3 Terminology Used in Machine Learning ................... 37
3.3.4 Machine Learning Algorithms: A Classification........... 39
IX
X
Contents
3.4 Descriptive Analytics Algorithms.................................. 39
3.4.1 Reports ................................................... 39
3.4.2 OLAP and Multidimensional Analysis Techniques ............. 41
3.5 Predictive Analytics Algorithms................................... 44
3.5.1 Examples of Regression Algorithms.......................... 44
3.5.2 Examples of Classification Algorithms...................... 47
3.5.3 Examples of Clustering Algorithms.......................... 49
3.5.4 Examples of Dimensionality Reduction Algorithms ........... 51
3.6 Prescriptive Analytics............................................ 53
3.7 Conclusion ....................................................... 53
References ............................................................ 54
4 Healthcare Analytics Applications....................................... 57
4.1 Introduction...................................................... 58
4.2 Descriptive Analytics Applications................................ 59
4.3 Predictive Analytics Applications................................. 59
4.3.1 Regression Applications.................................... 59
4.3.2 Classification Application................................. 63
4.3.3 Clustering Application .................................. 66
4.3.4 Dimensionality Reduction Application....................... 67
4.4 Prescriptive Analytics Application ............................... 68
4.4.1 Prescriptive Analytics Application: Optimal In-Brace
Corrections for Braced Adolescent Idiopathic Scoliosis (AIS)
Patients .................................................. 68
4.5 Conclusion ....................................................... 69
References ............................................................ 69
5 Data Visualization ..................................................... 71
5.1 Introduction...................................................... 72
5.2 Presentation and Visualization of Information..................... 73
5.2.1 A Taxonomy of Graphs....................................... 73
5.2.2 Relationships and Graphs................................... 77
5.3 Infographics ..................................................... 85
5.4 Dashboards........................................................ 86
5.5 Data Visualization Software....................................... 88
5.6 Conclusion ....................................................... 89
References ............................................................ 89
6 Future Directions....................................................... 91
6.1 Introduction...................................................... 91
6.2 Artificial Intelligence and Machine Learning Trends............... 92
6.3 Internet of Things (IoT) ......................................... 93
6.4 Big Data Analytics .............................................. 94
6.5 Ethical Concerns.................................................. 96
6.6 Future Directions ................................................ 97
Contents
xi
6.7 Healthcare Analytics Demos..................................... 97
6.8 Conclusion .................................................. 98
References ......................................................... 98
Index....................................................................101
|
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| discipline | Informatik Wirtschaftswissenschaften |
| format | Book |
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| id | DE-604.BV045437039 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T18:27:11Z |
| institution | BVB |
| isbn | 9783030045050 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030822630 |
| oclc_num | 1088872005 |
| open_access_boolean | |
| owner | DE-20 DE-384 DE-1049 |
| owner_facet | DE-20 DE-384 DE-1049 |
| physical | xi, 105 Seiten Illustrationen, Diagramme |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Springer |
| record_format | marc |
| series2 | Springer Briefs in Health Care Management and Economics |
| spellingShingle | El Morr, Christo 1966- Ali-Hassan, Hossam Analytics in Healthcare a practical introduction Statistik (DE-588)4056995-0 gnd Data Mining (DE-588)4428654-5 gnd Datenanalyse (DE-588)4123037-1 gnd Gesundheitswesen (DE-588)4020775-4 gnd Business Intelligence (DE-588)4588307-5 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4428654-5 (DE-588)4123037-1 (DE-588)4020775-4 (DE-588)4588307-5 |
| title | Analytics in Healthcare a practical introduction |
| title_auth | Analytics in Healthcare a practical introduction |
| title_exact_search | Analytics in Healthcare a practical introduction |
| title_full | Analytics in Healthcare a practical introduction Christo El Morr, Hossam Ali-Hassan |
| title_fullStr | Analytics in Healthcare a practical introduction Christo El Morr, Hossam Ali-Hassan |
| title_full_unstemmed | Analytics in Healthcare a practical introduction Christo El Morr, Hossam Ali-Hassan |
| title_short | Analytics in Healthcare |
| title_sort | analytics in healthcare a practical introduction |
| title_sub | a practical introduction |
| topic | Statistik (DE-588)4056995-0 gnd Data Mining (DE-588)4428654-5 gnd Datenanalyse (DE-588)4123037-1 gnd Gesundheitswesen (DE-588)4020775-4 gnd Business Intelligence (DE-588)4588307-5 gnd |
| topic_facet | Statistik Data Mining Datenanalyse Gesundheitswesen Business Intelligence |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030822630&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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