The exponential rise in the burden of chronic kidney disease(CKD)worldwide has put enormous pressure on the economy.Predictive modeling of CKD can ease this burden by predicting the future disease occurrence ahead of ...The exponential rise in the burden of chronic kidney disease(CKD)worldwide has put enormous pressure on the economy.Predictive modeling of CKD can ease this burden by predicting the future disease occurrence ahead of its onset.There are various regression methods for predictive modeling based on the distribution of the outcome variable.However,the accuracy of the predictive model depends on how well the model is developed by taking into account the goodness of fit,choice of covariates,handling of covariates measured on a continuous scale,handling of categorical covariates,and number of outcome events per predictor parameter or sample size.Optimal performance of a predictive model on an independent cohort is desired.However,there are several challenges in the predictive modeling of CKD.Disease-specific methodological challenges hinder the development of a predictive model that is cost-effective and universally applicable to predict CKD onset.In this review,we discuss the advantages and challenges of various regression models available for predictive modeling and highlight those best for future CKD prediction.展开更多
HIV/AIDS spread has opened a Pandora of medical and health problems apart from creating serious socio-psychological trauma for the victims and their families. Despite the governmental effort to curve the growing infec...HIV/AIDS spread has opened a Pandora of medical and health problems apart from creating serious socio-psychological trauma for the victims and their families. Despite the governmental effort to curve the growing infection, very little success has been achieved. The northeastern region of India presents a very peculiar situation due to recurrent insurgency in all its states for long time and thus it became instrumental in paralyzing the social and health machineries to an extent, which still deteriorated the futile national effort to check the deadly infection. The study tried to understand the level of awareness and correct knowledge among the underprivileged scheduled tribes and scheduled castes women in the age group 15 -44 by exploring data from district level of Rapid Household Reproductive and Child Health Project Phase I (1998) and Phase II (1999) for Assam, Manipur and Nagaland and suggested a strategy to control the infection in the region. It is found that HIV/AIDS awareness was 59% among the women in all the three states with very few among them who had correct understanding of its prevention. A pronounced difference in the level of awareness was observed with respect to age, economy and residential status of the respondents.展开更多
基金Supported by Coord/7(1)/CAREKD/2018/NCD-II,No.5/4/7-12/13/NCD-IISenior Research Fellowship by the Indian Council of Medical Research,New Delhi,No.3/1/2(6)/Nephro/2022-NCD-II.
文摘The exponential rise in the burden of chronic kidney disease(CKD)worldwide has put enormous pressure on the economy.Predictive modeling of CKD can ease this burden by predicting the future disease occurrence ahead of its onset.There are various regression methods for predictive modeling based on the distribution of the outcome variable.However,the accuracy of the predictive model depends on how well the model is developed by taking into account the goodness of fit,choice of covariates,handling of covariates measured on a continuous scale,handling of categorical covariates,and number of outcome events per predictor parameter or sample size.Optimal performance of a predictive model on an independent cohort is desired.However,there are several challenges in the predictive modeling of CKD.Disease-specific methodological challenges hinder the development of a predictive model that is cost-effective and universally applicable to predict CKD onset.In this review,we discuss the advantages and challenges of various regression models available for predictive modeling and highlight those best for future CKD prediction.
文摘HIV/AIDS spread has opened a Pandora of medical and health problems apart from creating serious socio-psychological trauma for the victims and their families. Despite the governmental effort to curve the growing infection, very little success has been achieved. The northeastern region of India presents a very peculiar situation due to recurrent insurgency in all its states for long time and thus it became instrumental in paralyzing the social and health machineries to an extent, which still deteriorated the futile national effort to check the deadly infection. The study tried to understand the level of awareness and correct knowledge among the underprivileged scheduled tribes and scheduled castes women in the age group 15 -44 by exploring data from district level of Rapid Household Reproductive and Child Health Project Phase I (1998) and Phase II (1999) for Assam, Manipur and Nagaland and suggested a strategy to control the infection in the region. It is found that HIV/AIDS awareness was 59% among the women in all the three states with very few among them who had correct understanding of its prevention. A pronounced difference in the level of awareness was observed with respect to age, economy and residential status of the respondents.
