Table 8.
List of techniques proposed for easy and time data-access interface.
| No | Citation | Technique | Description |
|---|---|---|---|
| 1 | 56 | Network foresight approach | To provide an easy and timely data-access interface this research work used networked foresight approach for the prediction of accurate medicine using current and past clinical historical information. This approach provides an easier interface for the patients and doctors to communicate and exchange information regarding their health status |
| 2 | 8–11,19,57,63,73,78,82,86,92,95,97,111–113,116,120,123–126,128,129,131–133,135,137,139–141,144–147,149–154,156,157 | Big data analytics for timely data-access purposes | These survey papers presents applications of big data analytics in term of facilities like presenting an easier and timely-access mechanism for both patients and practitioners |
| 3 | 70,197 | Pig Latin Script programming tool | Pig Latin Script is applied to analyse the healthcare datasets against different queries, to enhance health facilities in India by assessing healthcare big data. It also provides an optimum and timely data-access mechanism for both patient and practitioner |
| 4 | 83 | Social media-based applications | This research article performed data analysis approach on data retrieved from Facebook walls. In this analysis process 153 public organization were contributed to accumulate information regarding patient activities and performance using unsupervised classification models |
| 5 | 91 | IoT-based systems | This paper outlined different IoT-based applications, cloud computing-based application, embedded systems, and other smart applications proposed for smart healthcare purposes at door step (without visiting the practitioners on daily basis) |
| 6 | 94,109 | eHealth applications | The overpopulation and complexities in medical and treatment makes the things complex for the patients to access their basic health providers on time. And this situation becomes more critical in 3rd world countries. To tackle this issue a smart phone-based eHealth application is developed to provide clinical facilities at homes. It also provides an easy interface for both doctors and patients to communicate easily and in timely fashion |
| 7 | 100 | Formal methods | Overpopulation, treatment errors, and overtreatment results in developing a disease burden situation and health disparities by combining with noncontagious disease population. Formal methods are applied to develop an optimum mechanism with zero defects for timely and accurate disease diagnosing and treatment purposes |
| 8 | 104 | Medicine suggestion interface | This paper presents an automatic medicine suggestion interface by extracting information from the patient’s clinical records. This model not only enhanced the efficiency of doctors to check multiple patients in a timely fashion but also enhance his/her capabilities to advice accurate medicine for a certain type of disease |
| 9 | 106 | ML techniques | This paper surveyed the literature by finding the gaps in the available mHealth applications and developed a new mHealth2.0 application. This advanced version is developed using machine learning (ML) techniques to simulate big data in healthcare. This application provides enhance quality of care services to the patients |
| 10 | 22,121 | Statistical analysis-based models | This research work has developed a mathematical model for diabetic’s analysis using big data. This analytical model helped the doctors by providing an easy simulation interface to process patient’s clinical records in a short time to monitor patient’s current diabetic situation remotely |