Get Healthcare Analytics: From Data to Knowledge to Healthcare PDF

By Hui Yang, Eva K. Lee

ISBN-10: 1118919394

ISBN-13: 9781118919392

Features of statistical and operational examine equipment and instruments getting used to enhance the healthcare industry

With a spotlight on state-of-the-art ways to the fast transforming into box of healthcare, Healthcare Analytics: From info to wisdom to Healthcare development provides an built-in and complete therapy on contemporary examine developments in data-driven healthcare analytics so as to offer extra custom-made and smarter healthcare prone. Emphasizing facts and healthcare analytics from an operational administration and statistical standpoint, the booklet information how analytical tools and instruments can be used to reinforce healthcare caliber and operational efficiency.

Organized into major sections, Part I features biomedical and healthiness informatics and particularly addresses the analytics of genomic and proteomic information; physiological signs from patient-monitoring platforms; information uncertainty in medical laboratory checks; predictive modeling; illness modeling for sepsis; and the layout of cyber infrastructures for early prediction of epidemic occasions. Part II focuses on healthcare supply platforms, together with method advances for remodeling hospital workflow and sufferer care; macro research of sufferer stream distribution; extensive care devices; fundamental care; call for and source allocation; mathematical types for predicting sufferer readmission and postoperative end result; physician–patient interactions; assurance claims; and the function of social media in healthcare. Healthcare Analytics: From info to wisdom to Healthcare development also features:

• Contributions from famous foreign specialists who make clear new methods during this growing to be area

• Discussions on modern tools and strategies to handle the dealing with of wealthy and large-scale healthcare facts in addition to the final optimization of healthcare process operations

• various real-world examples and case reports that emphasize the massive power of statistical and operational examine instruments and methods to handle the large information setting in the healthcare industry

• abundant purposes that exhibit analytical tools and instruments adapted for winning healthcare platforms modeling and improvement

The e-book is a perfect reference for lecturers and practitioners in operations examine, administration technology, utilized arithmetic, records, enterprise, commercial and platforms engineering, healthcare platforms, and economics. Healthcare Analytics: From information to wisdom to Healthcare development is additionally acceptable for graduate-level classes mostly provided inside of operations study, commercial engineering, company, and public health and wellbeing departments.

HUI YANG, PhD, is affiliate Professor within the Harold and Inge Marcus division of commercial and production Engineering on the Pennsylvania country college. His study pursuits comprise sensor-based modeling and research of advanced structures for procedure monitoring/control; approach diagnostics/ prognostics; caliber development; and function optimization with detailed concentrate on nonlinear stochastic dynamics and the ensuing chaotic, recurrence, self-organizing behaviors.

EVA ok. LEE, PhD, is Professor within the H. Milton Stewart university of business and platforms Engineering on the Georgia Institute of expertise, Director of the guts for Operations examine in medication and HealthCare, and uncommon student in healthiness method, wellbeing and fitness platforms Institute at either Emory collage tuition of drugs and Georgia Institute of know-how. Her study pursuits comprise health-risk prediction; early ailment prediction and analysis; optimum remedy thoughts and drug supply; healthcare consequence research and therapy prediction; public future health and clinical preparedness; large-scale healthcare/medical selection research and caliber development; medical translational technology; and company intelligence and association transformation.

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Extra resources for Healthcare Analytics: From Data to Knowledge to Healthcare Improvement

Example text

In: Clark C, editor. New Research Directions in DNA Repair. InTech; 2013. p 413–465. [2] Bernstein C. 2009. DNA damage and cancer, SciTopics. html. Accessed 2014 May 6. [3] Cunningham FH, Fiebelkorn S, Johnson M, Meredith C. A novel application of the Margin of Exposure approach: Segregation of tobacco smoke toxicants. Food Chem Toxicol 2011;49(11):2921–2933. [4] Kanavy HE, Gerstenblith MR. Ultraviolet radiation and melanoma. Semin Cutan Med Surg 2011;30(4):222–228. [5] Handa O, Naito Y, Yoshikawa T.

1250992. [67] Holness GF. A direct measure for the efficacy of Bayesian network structures learned from data. In Proceedings of the Fifth International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM 2007), Lecture Notes in Artificial Intelligence 4571, 601–615, Springer; 2007. [68] Wang H, Li B, Leng C. Shrinkage tuning parameter selection with a diverging number of parameters. J R Stat Soc B 2009;71:671–683. [69] Shao J. An asymptotic theory for linear model selection.

Fu and Zhou [48] used BCD algorithm. They started the algorithm from the empty network and added edges or reverse directionality of edges step-by-step while avoiding a cycle. However, they did not consider a leaving edge, which is a necessary step to find a good solution. In the optimization area, a greedy algorithm or Hill-Climbing algorithm is commonly used, which considers adding an edge, reversing an edge, or removing an edge. Most ad hoc or heuristic algorithms only guarantee a local optimal solution due to acyclic constraints.

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Healthcare Analytics: From Data to Knowledge to Healthcare Improvement by Hui Yang, Eva K. Lee

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