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Predictive analytics is not new to the healthcare industry. But, it became more powerful with the emergence of big data and its tool to understand the gathered data. The predictive analytics in the healthcare sector helps the doctors to predict or for the early diagnosis of the disease like diabetes, heart disease, stroke, and cancer. Disease prediction is the big data automotive tool of the healthcare field. These analyses are used for developing the disease diagnosing process which improves healthcare practices. The patients, medical professionals, pharmaceutical industry, and insurance companies can be benefitted from predictive analytics in healthcare using big data.

Table 3.5 Patient health checking devices.

Patient health checking devices	Features
Glucose checking meter	It used by diabetes patients for checking the glucose level.
Heart rate monitoring	It is used to monitor heart rate.
Hand hygiene monitoring	It is used in hospital to remind the people to sanitize their hands before entering hospital room.
Depression monitoring	It collects information like heart rate and BP and analyzes this information for a patient᾽s mental health.
Blood pressure (BP) monitoring	This device monitors blood pressure. Some BP devices take multiple readings for the daily averages.
Pulse oximeter	This device is used to track the oxygen saturation level in blood and also the pulse rate of the patient.
Patient wearable	Patient wearable devices are used to sense heart rate, blood pressure, glucose levels, weight, and physical activities.
Maternity care monitoring	This remote monitoring reduces clinic visits for pregnant women.
Electrocardiography (ECG) devices	This device is used to diagnose cardiac abnormalities.

Predictive analysis mainly used by hospitals:

 • To accurate diagnosis of disease

 • To reduce healthcare costs

 • For preventive medicine

Predictive analyses with medical data are used for determining the risk level of patients for disease based on lifestyle choices and health history.

One example for predictive analytics in healthcare is the predictive analytics algorithm by Kaiser Permanente [4]. This algorithm predicts the infants’ illness using the infant mother’s medical data and medical summary.