A deep learning approach to diabetic blood glucose prediction

We consider the question of 30-minute prediction of blood glucose levels measured by continuous glucose monitoring devices, using clinical data. While most studies of this nature deal with one patient at a time, we take a certain percentage of patients in the data set as training data, and test on the remainder of the patients; i.e., the machine need not re-calibrate on the new patients in the data set. We demonstrate how deep learning can outperform shallow networks in this example. One novelty is to demonstrate how a parsimonious deep representation can be constructed using domain knowledge

Concordance between decision analysis and matching systematic review of randomized controlled trials in assessment of treatment comparisons: a systematic review

BACKGROUND: Systematic review (SR) of randomized controlled trials (RCT) is the gold standard for informing treatment choice. Decision analyses (DA) also play an important role in informing health care decisions. It is unknown how often the results of DA and matching SR of RCTs are in concordance. We assessed whether the results of DA are in concordance with SR of RCTs matched on patient population, intervention, control, and outcomes. METHODS: We searched PubMed up to 2008 for DAs comparing at least two interventions followed by matching SRs of RCTs. Data were extracted on patient population, intervention, control, and outcomes from DAs and matching SRs of RCTs. Data extraction from DAs was done by one reviewer and from SR of RCTs by two independent reviewers. RESULTS: We identified 28 DAs representing 37 comparisons for which we found matching SR of RCTs. Results of the DAs and SRs of RCTs were in concordance in 73% (27/37) of cases. The sensitivity analyses conducted in either DA or SR of RCTs did not impact the concordance. Use of single (4/37) versus multiple data source (33/37) in design of DA model was statistically significantly associated with concordance between DA and SR of RCTs. CONCLUSIONS: Our findings illustrate the high concordance of current DA models compared with SR of RCTs. It is shown previously that there is 50% concordance between DA and matching single RCT. Our study showing the concordance of 73% between DA and matching SR of RCTs underlines the importance of totality of evidence (i.e. SR of RCTs) in the design of DA models and in general medical decision-making

Assessment of Risk Factors of Helicobacter Pylori Infection and Peptic Ulcer Disease

Background: Helicobacter pylori (H. pylori) infection is a risk factor for peptic ulcer. There have been no studies addressing environmental and dietary risk factors in western India. We conducted a case control study enrolling peptic ulcer patients in Pune, India. Materials and Methods: Risk factors for peptic ulcer and H. pylori infection were assessed in a participant interview. H. pylori status was assessed from stool by monoclonal antigen detection. Results: We enrolled 190 peptic ulcer, 35 stomach cancer patients, and 125 controls. Fifty-one percent (180/350) of the participants were infected with H. pylori. Lower socioeconomic status (SES) [odds ratio (OR): 1.10, 95% confidence interval (CI): 1.02-1.39], meat consumption (OR: 2.35, 95% CI: 1.30-4.23), smoking (OR: 2.23, 95% CI: 1.24-4.02), eating restaurant food (OR: 3.77, 95% CI: 1.39-10.23), and drinking nonfiltered or nonboiled water (OR: 1.05, 95% CI: 1.01-1.23) were risk factors for H. pylori infection. H. pylori infection (OR: 1.70, 95% CI:I. 03-2.89), meat (OR: 1.10, 95% CI: 1.02-1.75), fish (OR: 1.05, 95% CI: 1.02-1.89) consumption, and a family history of ulcer (OR: 1.20, 95% CI: 1.08-1.60) were risk factors for peptic ulcer. Consumption of chili peppers (OR: 0.20, 95% CI: 0.10-0.37) and parasite infestation (OR: 0.44, 95% CI: 0.24-0.80) were protective against H. pylori infection. Conclusion: H. pylori infection is associated with peptic ulcer. Lower SES, consumption of restaurant food, meat, nonfiltered water, and smoking are risk factors for H. pylori. Consumption of meat, fish, and a family history of peptic ulcer are risk factors for peptic ulcer. Consumption of chili peppers and concurrent parasite infestation appear to be protective against H. pylori

Predictive control methods to improve energy efficiency and reduce demand in buildings

Abstract This paper presents an overview of results and future challenges on temperature control and cost optimization in building energy systems. Control and economic optimization issues are discussed and illustrated through sophisticated simulation examples. The paper concludes with effective results from model predictive control solutions and identification of important directions for future work

Assessment of Risk Factors of Helicobacter Pylori Infection and Peptic Ulcer Disease

Background: Helicobacter pylori (H. pylori) infection is a risk factor for peptic ulcer. There have been no studies addressing environmental and dietary risk factors in western India. We conducted a case control study enrolling peptic ulcer patients in Pune, India. Materials and Methods: Risk factors for peptic ulcer and H. pylori infection were assessed in a participant interview. H. pylori status was assessed from stool by monoclonal antigen detection. Results: We enrolled 190 peptic ulcer, 35 stomach cancer patients, and 125 controls. Fifty-one percent (180/350) of the participants were infected with H. pylori. Lower socioeconomic status (SES) [odds ratio (OR): 1.10, 95% confidence interval (CI): 1.02-1.39], meat consumption (OR: 2.35, 95% CI: 1.30-4.23), smoking (OR: 2.23, 95% CI: 1.24-4.02), eating restaurant food (OR: 3.77, 95% CI: 1.39-10.23), and drinking nonfiltered or nonboiled water (OR: 1.05, 95% CI: 1.01-1.23) were risk factors for H. pylori infection. H. pylori infection (OR: 1.70, 95% CI:I. 03-2.89), meat (OR: 1.10, 95% CI: 1.02-1.75), fish (OR: 1.05, 95% CI: 1.02-1.89) consumption, and a family history of ulcer (OR: 1.20, 95% CI: 1.08-1.60) were risk factors for peptic ulcer. Consumption of chili peppers (OR: 0.20, 95% CI: 0.10-0.37) and parasite infestation (OR: 0.44, 95% CI: 0.24-0.80) were protective against H. pylori infection. Conclusion: H. pylori infection is associated with peptic ulcer. Lower SES, consumption of restaurant food, meat, nonfiltered water, and smoking are risk factors for H. pylori. Consumption of meat, fish, and a family history of peptic ulcer are risk factors for peptic ulcer. Consumption of chili peppers and concurrent parasite infestation appear to be protective against H. pylori

Polyharmonic approximation on the sphere

The purpose of this article is to provide new error estimates for a popular type of SBF approximation on the sphere: approximating by linear combinations of Green's functions of polyharmonic differential operators. We show that the $L_p$ approximation order for this kind of approximation is $\sigma$ for functions having $L_p$ smoothness $\sigma$ (for $\sigma$ up to the order of the underlying differential operator, just as in univariate spline theory). This is an improvement over previous error estimates, which penalized the approximation order when measuring error in $L_p$, p>2 and held only in a restrictive setting when measuring error in $L_p$, p<2.Comment: 16 pages; revised version; to appear in Constr. Appro