| 000 | 02853cam a2200445 i 4500 | ||
|---|---|---|---|
| 001 | 21439542 | ||
| 003 | OSt | ||
| 005 | 20240517115331.0 | ||
| 008 | 200220s2021 maua b 001 0 eng | ||
| 010 | _a 2020007462 | ||
| 020 | _a9781284197525 [paperback] | ||
| 040 |
_aDNLM/DLC _beng _cDLC _erda _dDLC |
||
| 042 | _apcc | ||
| 060 | 1 | 0 | _aW 26.55.I4 |
| 082 | 0 | 0 | _223 |
| 100 | 1 |
_aWicker, Zada T., _eauthor. |
|
| 245 | 1 | 0 |
_aVisualizing health care statistics : _ba data-mining approach / _cJ. Burton Browning, Zada T. Wicker. |
| 250 | _aSecond edition. | ||
| 260 |
_aBurlington, MA : _bJones & Bartlett Learning, _cc2021. |
||
| 300 |
_axiii, 253 pages : _billustrations (black and white) ; _c28 cm. |
||
| 336 |
_2rdacontent _atext |
||
| 337 |
_2rdamedia _aunmediated |
||
| 338 |
_2rdacarrier _avolume |
||
| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _aChapter 1 Introduction to health care statistics -- Chapter 2 Central tendency, variance, and variability -- Chapter 3 Patient data -- Chapter 4 Occupancy and utilization data -- Chapter 5 Morbidity and mortality data -- Chapter 6 Autopsy data -- Chapter 7 Infection, consultation, and other data -- Chapter 8 Health information management statistics -- Chapter 9 Research methodology and ethics -- Chapter 10 Data collection and reporting methods -- Chapter 11 The future of health care statistics. | |
| 520 | _a"This book addresses the computations that are needed in order to help a student with the RHIT/RHIA certifications. It is a complete statistics textbook which also covers medical ethical considerations. This book introduces new features on how to visualize health care statistics using MS Excel and R-Project statistical software (open source) and more hands-on examples using real-world data from websites provided throughout the chapters. The books covers classical statistics in a general way such that many fields would benefit from using it. "Big Data" aka data-mining is a real market mover these days. With the vast amount of data available in the healthcare sector like financial, clinical, R&D, administration and operational data, big data can derive meaningful insights to improve the operational efficiency of the industry"-- | ||
| 521 | _aAdult | ||
| 541 |
_aCD Books _xApuhin, Mercy Milagros _yCollege of Nursing _zNursing |
||
| 546 | _aText in English | ||
| 650 | 1 | 2 | _aData Mining |
| 650 | 1 | 2 | _aData Interpretation, Statistical |
| 650 | 2 | 2 | _aData Collection |
| 650 | 2 | 2 | _aHealth Information Management |
| 700 | 1 |
_aBrowning, J. Burton, _eauthor. |
|
| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
||
| 942 |
_2ddc _cBK |
||
| 998 |
_cJanna [new] _d04/15/2024 |
||
| 999 |
_c12238 _d12238 |
||