Summary IoT based Patient monitoring is the current need of the hour. The critical care services have been a crucial part for patients, who suffer from serious health conditions and heart diseases. Increased population is one of the major reasons behind waiting for clinical health monitoring services in hospitals. The current internet era and IoT based health support systems provide medical services for individuals and hospitals to forecast or early‐detect probable critical care situations. The proposed approach is a new health care support system for heart patients to monitor and report with hospitals. We have introduced a Fog assisted IoT based cardio monitoring application to help the decision support system, which also tested with the existing analogues health care applications to show its elevated performance.

We elucidate the structure of $(P_6,C_4)$-free graphs by showing that every such graph either has a clique cutset, or a universal vertex, or belongs to several special classes of graphs. Using this result, we show that for any $(P_6,C_4)$-free graph $G$, $\lceil\frac{5\omega(G)}{4}\rceil$ and $\lceil\frac{\Delta(G) + \omega(G) +1}{2}\rceil$ are tight upper bounds for the chromatic number of $G$. Moreover, our structural results imply that every ($P_6$,$C_4$)-free graph with no clique cutset has bounded clique-width, and thus the existence of a polynomial-time algorithm that computes the chromatic number (or stability number) of any $(P_6,C_4)$-free graph.