PPT-Best Care at Lower Cost The Path to Continuously

Learning Health Care in America J Michael McGinnis MD MPP October 11 2012 Computing Community Consortium Committee Members Mark D Smith Chair President and CEO California HealthCare Foundation. iomedubestcare Best Care at Lower Cost The Path to Continuously Learning Health Care in America Health care in America has experienced an explosion in knowledge inno vation and capacity to manage previously fatal conditions Yet paradoxically it falls ENGINEERED EPSON, DURABrite, Epson ESC/P, MicroPiezo and WorkForce are registered trademarks, EPSON Exceed Your Vision is a registered logomark and Better Products for a Better Future is a trademark Network optimization problems. D. Moltchanov, TUT, Spring 2008. D. . Moltchanov. , TUT, Spring 2014. Network dimensioning problems. NDP: network model. The general . uncapacitated. NDP problem. Minimize cost of . in Greedy Model. Sashka Davis. Advised by Russell Impagliazzo. (Slides modified by Jeff). UC San Diego. October 6, 2006. Suppose you have to solve a problem . Π. …. Is there a Greedy algorithm that solves . COMPOUNDED . INTEREST. CONTINUOUSLY COMPOUNDED INTEREST FORMULA. amount at the end. Principal. (amount at start). annual interest rate. (as a decimal). time. (in years). Suppose . $5000 is put into an account that pays 4% compounded continuously. How much will be in the account after 3 years? . A . search strategy . is defined by picking the order of node . expansion. Uninformed. . search strategies use only the information available in the problem . definition. Breadth-first search. Depth-first search. Intelligence for Problem Solving. Lecture#4. Informed Search. Content. Informed search. The Best-First Search family. Greedy. best-first search. A*. search. evaluation function. heuristic function. Routing Algorithms. Network Layer. 4-. 1. Graph abstraction. 2. u. y. x. w. v. z. 2. 2. 1. 3. 1. 1. 2. 5. 3. 5. Graph: G = (N,E). N = set of routers = { u, v, w, x, y, z }. E = set of links ={ (. u,v. Complete questions 1, 2, and 3 on your quiz. 1. Graph abstraction. 2. u. y. x. w. v. z. 2. 2. 1. 3. 1. 1. 2. 5. 3. 5. Graph: G = (N,E). N = set of routers = { u, v, w, x, y, z }. E = set of links ={ (. A . search strategy . is defined by picking the order of node . expansion. Uninformed. . search strategies use only the information available in the problem . definition. Breadth-first search. Depth-first search. Critical Path Method. Kegiatan. Predecesor. Waktu. A. -. 8. B. -. 4. C. A. 10. D. A. 2. E. B. 5. F. D,E. 3. Critical Path Method. 1. 0. 0. 2. 8. 8. 3. 4. 10. 4. 10. 15. 5. 18. 18. A/8. C/10. D/2. B/4. unknown environment. Athanasios Ch. Kapoutsis. , Christina M. . Malliou. , Savvas A. Chatzichristofis and Elias B. . Kosmatopoulos. School of Electrical and Computer Engineering,. Democritus University of Thrace, Xanthi, Greece. Mobile robot path planning: identifying a trajectory . that, when . executed, will enable the robot to reach the goal location. Representation. State (state space). Actions (operators). Initial and goal states. Friday, May 5. th. , 2017. Patricia MC Brown. Senior . Vice President, Managed Care and Population Health, . Johns Hopkins Medicine. President, Johns Hopkins HealthCare LLC. Senior Counsel, Johns Hopkins Health System.