Complex network-based multistep forecasting model for hyperchaotic time series.

We present a method for predicting hyperchaotic time series using a complex network-based forecasting model. We first construct a network from a given time series, which serves as a coarse-grained representation of the underlying attractor. This network facilitates multistep forecasting by capturing the local nonlinearity of the dynamics and offers superior accuracy over more extended periods than traditional methods.

Development and Testing of an Electronic Diabetes Diary Integrated With a Hospital Information System for Individuals With Type 2 Diabetes Mellitus: Protocol for a Mixed Methods Study.

Background: Type 2 diabetes mellitus (T2DM) is one of the leading noncommunicable diseases that require diabetes self-management (DSM) practices. This study proposes to develop a customized mobile health (mHealth) app integrated with a hospital information system (HIS) to enable real-time, two-way transfer of information between the patient and physician. The captured information in the electronic health record will facilitate physicians to have a chronological account of the patient's diabetes history and enable tweaking of the treatment.

Impact of public-funded health insurances in India on health care utilisation and financial risk protection: a systematic review.

Objective: Universal Health Coverage aims to address the challenges posed by healthcare inequalities and inequities by increasing the accessibility and affordability of healthcare for the entire population. This review provides information related to impact of public-funded health insurance (PFHI) on financial risk protection and utilisation of healthcare.

Design: Systematic review.

Health insurance awareness and its uptake in India: a systematic review protocol.

Introduction: Health insurance is one of the important approaches that can help in boosting universal healthcare coverage through improved healthcare utilisation and financial protection. This objectives of this review are to identify various interventions implemented in India to promote awareness of health insurance, and to provide evidence for the effectiveness of such interventions on the awareness and uptake of health insurance by the resident Indian population.

Methods And Analysis: A systematic review will be carried out based on the Cochrane handbook for systematic reviews of interventions.

Factors Determining the Enrolment in Community-based Health Insurance Schemes: A Cross-sectional Study from Coastal South India.

Background: Community-based health insurance (CBHI) has been one of the options of health financing in India for a large number of population from the informal sector constituting about 90% of the total population. The objective of this study was to find out what are the factors which have influenced the beneficiaries to enroll in the schemes and also compared them to a noninsured group.

Methods: A cross-sectional household survey, on 1639 households, was carried out, which had 1108 insured household and 530 noninsured households with a 2:1 ratio.