In general, the various medical systems currently available provide insights into changes in the tumor genome of patients with tumor sequencing. Most of the tumor DNA sequencing can also be referred to as genetic specification or genetic testing. The sequence results help clinical decision-making to develop a personalized cancer treatment plan based on the molecular characteristics of the tumor rather than a one-size-fits-all treatment approach. The tumor sequencing also plays a major role in cancer research. In this paper, an improved method based on machine learning was proposed to analyze the sequencing and tumor sequencing patterns of the human gene. This proposed method analyzes the circulatory problems of patients with different tumor types for analysis in the public domain. It also constantly monitors large data sets of cancer or tumor genetic sequences to calculate tumor size and location. This allows the doctor to get an accurate report on the type of tumor and the problems it can cause to the patient. The Analysis of these datasets of cancer tumor gene sequences reveals that the genetic makeup of each patient is different and that no two cancers are the same.

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In general, the number of diseases is increasing in the current era. There is also a growing fear among the patients about the nature of the growing number of new diseases and their consequences. Thus the patients are interested in getting treatment from healthcares for minor physical problems. But factors such as lack of space in healthcares and lack of time for doctors make patients uncomfortable. Sometimes doctors recommend that patients come to the healthcare only for emergency treatment. In this paper, a triangular method is proposed which takes into account the needs of the patients, calculates the time management of the doctors and analyzes the facilities available in the healthcares. Designed with the help of medical IoT devices, efficient sensors fitted to patients' bodies monitor their physical condition. Furthermore based on this sensor information the doctor can provide the patient with the necessary instructions from where they were. These sensors send information directly to the healthcare when further emergency treatment is needed. Thus healthcares can make the necessary arrangements to provide the necessary treatments to the patient immediately.

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