British string quartets of the twentieth century

Thesis (M.A.)--Boston University, 1949. This item was digitized by the Internet Archive

British string quartets of the twentieth century

Thesis (M.A.)--Boston University, 1949. This item was digitized by the Internet Archive

Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server

This paper makes two contributions to Bayesian machine learning algorithms. Firstly, we propose stochastic natural gradient expectation propagation (SNEP), a novel alternative to expectation propagation (EP), a popular variational inference algorithm. SNEP is a black box variational algorithm, in that it does not require any simplifying assumptions on the distribution of interest, beyond the existence of some Monte Carlo sampler for estimating the moments of the EP tilted distributions. Further, as opposed to EP which has no guarantee of convergence, SNEP can be shown to be convergent, even when using Monte Carlo moment estimates. Secondly, we propose a novel architecture for distributed Bayesian learning which we call the posterior server. The posterior server allows scalable and robust Bayesian learning in cases where a data set is stored in a distributed manner across a cluster, with each compute node containing a disjoint subset of data. An independent Monte Carlo sampler is run on each compute node, with direct access only to the local data subset, but which targets an approximation to the global posterior distribution given all data across the whole cluster. This is achieved by using a distributed asynchronous implementation of SNEP to pass messages across the cluster. We demonstrate SNEP and the posterior server on distributed Bayesian learning of logistic regression and neural networks. Keywords: Distributed Learning, Large Scale Learning, Deep Learning, Bayesian Learn- ing, Variational Inference, Expectation Propagation, Stochastic Approximation, Natural Gradient, Markov chain Monte Carlo, Parameter Server, Posterior Server.Comment: 37 pages, 7 figure

Acupuncture and Chiropractic Care: Utilization and Electronic Medical Record Capture

Objectives: To describe acupuncture and chiropractic use among patients with chronic musculoskeletal pain (CMP) at a health maintenance organization, and explore issues of benefit design and electronic medical record (EMR) capture. Study Design: Cross-sectional survey. Methods: Kaiser Permanente members meeting EMR diagnostic criteria for CMP were invited to participate. The survey included questions about self-identified presence of CMP, use of acupuncture and chiropractic care, use of ancillary self-care modalities, and communication with conventional medicine practitioners. Analysis of survey data was supplemented with a retrospective review of EMR utilization data. Results: Of 6068 survey respondents, 32% reported acupuncture use, 47% reported chiropractic use, 21% used both, and 42% used neither. For 25% of patients using acupuncture and 43% of those using chiropractic care, utilization was undetected by the EMR. Thirty-five percent of acupuncture users and 42% of chiropractic users did not discuss this care with their health maintenance organization (HMO) clinicians. Among chiropractic users, those accessing care out of plan were older (P \u3c.01), were more likely to use long-term opioids (P = .03), and had more pain diagnoses (P = .01) than those accessing care via clinician referral or self-referral. For acupuncture, those using the clinician referral mechanism exhibited these same characteristics. Conclusions: A majority of participants had used acupuncture, chiropractic care, or both. While benefit structure may materially influence utilization patterns, many patients with CMP use acupuncture and chiropractic care without regard to their insurance coverage. A substantial percentage of acupuncture and chiropractic use thus occurs beyond detection of EMR systems, and many patients do not report such care to their HMO clinicians

Readmission following pancreatectomy: what can be improved?

AbstractBackgroundReadmissions after pancreatectomy, largely for the management of complications, may also occur as a result of failure to thrive or for diagnostic endeavours. Potential mechanisms to reduce readmission rates may be elucidated by assessing the adequacy of the initial disposition and the real necessity for readmission.MethodsUsing previously identified categories of readmission following pancreatectomy, details of reasons for and results of readmissions were scrutinized using a root cause analysis approach.ResultsOf 658 patients subjected to pancreatectomy between 2001 and 2010, 121 (18%) were readmitted within 30 days. The clinical course in 30% of readmitted patients was found to deviate from the pathway assumed on the initial admission. Patients were readmitted at a median of 9 days (range: 1–30 days) after initial discharge and had a median readmission length of stay of 7 days (mode = 4). Postoperative complications accounted for most readmissions (n = 77, 64%); 17 patients (14%) were readmitted for failure to thrive and 16 (13%) for diagnostics. Root cause analysis detailed subtextual reasons for readmission, including, for example, the initiation of new medications that could potentially have been ordered in an outpatient setting.ConclusionsMore than one quarter of readmissions after pancreatectomy occurred in the setting of failure to thrive or for diagnostic evaluation alone. Root cause analysis revealed potentially avoidable readmissions. The development of a system for stratifying patients at risk for readmission or the failure of the initial disposition, along with an alternative means of efficiently evaluating patients in an outpatient setting, could limit unnecessary readmissions and resource utilization

Definition and classification of chyle leak after pancreatic operation: A consensus statement by the International Study Group on Pancreatic Surgery

Recent literature suggests that chyle leak may complicate up to 10% of pancreatic resections. Treatment depends on its severity, which may include chylous ascites. No international consensus definition or grading system of chyle leak currently is available. The International Study Group on Pancreatic Surgery, an international panel of pancreatic surgeons working in well-known, high-volume centers, reviewed the literature and worked together to establish a consensus on the definition and classification of chyle leak after pancreatic operation. Chyle leak was defined as output of milky-colored fluid from a drain, drain site, or wound on or after postoperative day 3, with a triglyceride content ≥110 mg/dL (≥1.2 mmol/L). Three different grades of severity were defined according to the management needed: grade A, no specific intervention other than oral dietary restrictions; grade B, prolongation of hospital stay, nasoenteral nutrition with dietary restriction, total parenteral nutrition, octreotide, maintenance of surgical drains, or placement of new percutaneous drains; and grade C, need for other more invasive in-hospital treatment, intensive care unit admission, or mortality. This classification and grading system for chyle leak after pancreatic resection allows for comparison of outcomes between series. As with the other the International Study Group on Pancreatic Surgery consensus statements, this classification should facilitate communication and evaluation of different approaches to the prevention and treatment of this complicatio