Tag: Business Intelligence Support

Machine Maintenance Using Smarten Assisted Predictive Modelling!

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May 31, 2021

1.  Machine Maintenance is always cheaper then downtime!

Sooner or later, all machines run to fail and monitoring the condition of the machine is crucial for any enterprise as any unplanned downtime can have greater economic impact resulting in reduced productivity and ultimately losing the customers. That being so, a regular way to keep the machine in a good condition is to timely monitor it and detect the patterns to predict the breakdowns. Predictive maintenance of machines helps in evaluating the timely collected machine data in order to gage its condition and predict when maintenance work is needed. 

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Handling Outliers Using Smarten Assisted Predictive Modelling!

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March 18, 2021

1.  Outlier, an Outsider!    

Outliers, also referred to as anomaly, exception, irregularity, deviation, oddity, arise in data analysis when the data records differ dramatically from the other observations. In layman’s terms, an outlier can be interpreted as any value that is numerically far-flung from most of the data points in a sample of data.

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Medical Cost Prediction Using Smarten Assisted Predictive Modelling!

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February 12, 2021

1.  A high level Overview on the Use Case :

One of the most effective use-case of data science in Healthcare is to predict medical costs of the patient based upon extensive factors contributing to higher expenditures. Rising medical costs have been a major public health concern hence getting an understanding upon the contributing factors is very crucial. Furthermore, one of the significant aspects of medical cost prediction is to identify the patients at risk to contribute to extensive costs to hospitals leading to effective resource planning. The relationship between patient’s primary medical costs and their characteristics (like age, gender, morbidity, BMI etc.) plays a vital role while investigating whether the healthcare resources are equitably allocated and to make sure that patients in equal needs are supplied with equal amount of medical care. Over and above that, it is very necessary to know how patients’ expected costs varies with respect to the commonly affecting factors.

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