Reliable Machine Learning Approach to Predict Patient Satisfaction for Optimal Decision Making and Quality Health Care

The advancement of mathematical model has utilized for simulating the output of medical is a development area over medicine whereas the modeling can be mentioned with several activities namely simulation or decision analysis and predictive modeling. However, the traditional modeling technique utilized in planning of health service, assessment reports and its efficiency, financing about health care and assessment in budget impact, assessment in health economics, surveillance of infectious disease and other health care application. Therefore, the mathematical modelling is performed as a frequent and timely benefit in order to make rapid decision making while facing investigation with several issues like time elapsing, unusual and unethical particularly projected for future. This paper focused in applying the mathematical modeling to accomplish an optimal decision making in healthcare whereas this study discuss about the specific modeling concepts namely decision tree and fuzzified rule tables on evaluation of health economics and better service planning that my replicate the individual experience or patients cohorts.

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Multi-criteria decision-making for purchasing cell phones using machine learning approach

International Journal of Decision Sciences Risk and Management ◽

10.1504/ijdsrm.2017.10011481 ◽

2017 ◽

Vol 7 (3) ◽

pp. 190

Author(s):

Sachi Nandan Mohanty ◽

Kriti Shree ◽

Sarita Mohanty

Keyword(s):

Machine Learning ◽

Decision Making ◽

Cell Phones ◽

Learning Approach ◽

Multi Criteria Decision Making ◽

Machine Learning Approach

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Review on Smart Health Care Monitoring Systems

International Journal of Scientific Research in Computer Science Engineering and Information Technology ◽

10.32628/cseit2174112 ◽

2021 ◽

pp. 418-422

Author(s):

Vasishth V. Katre ◽

Dr. P. N. Chatur

Keyword(s):

Machine Learning ◽

Health Care ◽

Health System ◽

Monitoring Systems ◽

Learning Approach ◽

Health Issues ◽

Medical Field ◽

Machine Learning Approach ◽

Smart Health ◽

Health Care Monitoring

Document IoT is leading in smart health care system. Using different sensors it's possible to monitor the patients healthcare remotely. This is unimagined and leads to a spatial longitude amalgamated with machine learning approach. Leading to smart health care, and headway in medical field. It may lead to know severe health issues ahead of time which would be tranquil to the health system. Which would benefit the hospital administration and management. This paper elucidates on the distinct sort of IoT based health care monitoring systems. The aim is to juxtapose the present health care IoT systems.

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Quality health care in Indian setup: an ear, nose, throat outpatient department-based approach for quality health care indicators

International Journal of Otorhinolaryngology and Head and Neck Surgery ◽

10.18203/issn.2454-5929.ijohns20205400 ◽

2020 ◽

Vol 7 (1) ◽

pp. 44

Author(s):

Himanshu Joshi ◽

Satyanjaya Sahoo ◽

Vikas Kumar

Keyword(s):

Health Care ◽

Patient Satisfaction ◽

Quality Care ◽

Outpatient Department ◽

Patient Relationship ◽

Doctor Patient Relationship ◽

Quality Health Care ◽

Hard Times ◽

Quality Health ◽

Health Care Indicators

Background: In this era doctor patient relationship facing hard times, especially in Indian setup. It is immensely evident in form of increasing lawsuits and violence against doctors. This brings patient centred approach with patient satisfaction into picture and further leads to concepts of quality health care. There is raised attention on enhancing the quality of life through the quality council of India. Here is an attempt to look for any causal association with the help of some routine indicators which if modified can lead to better state of doctor patient relationship.Methods: This study has taken patient satisfaction into consideration with the help of quality care parameters at ear, nose, throat (ENT), outpatient department in Indian setup. These indicators are based on parameters divided into hospital domain and doctor domain and each parameter is graded on 5-point Likert scale.Results: Score under doctor domain are significantly high statistically. Examination and communication by doctor (domain) are the parameters which scored the most. Under hospital domain the highest preference by patients in terms of score was given to hygiene and sanitation of hospital.Conclusions: Quality health care is multifactorial and parameters under hospital domain and doctor domain are interdependent to much extent. It has been concluded statistically that examination and communication by doctor derives a better sense of trust and doctor patient relationship significantly.

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