scholarly journals Nanorobots is an Emerging Technology Which is Helpful in the Diagnosis and Treatment of Various Diseases

2021 ◽  
Vol 70 (1) ◽  
Author(s):  
Akash G. Avachar ◽  
Aniket M. Ingole ◽  
Utkarsh N. Chimote ◽  
Jayshree B. Taksande ◽  
Milind J. Umekar
Keyword(s):  
Health Care ◽  
Small Dose ◽  
Health Care Industry ◽  
Emerging Technology ◽  
Diagnosis And Treatment ◽  
Nanometer Scale ◽  
The Novel ◽  
Care Industry ◽  
Treatment And Prevention ◽  
Prevention And Treatment

This review is provided detailed overview of the types, properties and application of nanorobot in the diagnosis, prevention and treatment of various diseases. Now a day’s health care industry focusing on the development of nanotechnology for the diagnosis and treatment of various diseases. Development of nanorobots is an interesting and hopeful area of nanotechnology which is produce on nanoscale. Many drugs exhibit is the problem of less bioavailability of drug and require the administration of higher amount for treatment of various diseases. To overcome such problem, nanorobot are the novel solution that deliver the drug to the target thus small dose is sufficient to achieve the desired therapeutic effect. Nanorobots are tiny device which is measure on the nanometer scale. Nanorobots also known as nanite, nanobots, or nanomites. Nanorobots are used in the diagnosing, treatment and prevention of the diseases, relieving pain and improving the human health.

scholarly journals Machine learning based outlier detection for medical data

2021 ◽  
Vol 24 (1) ◽  
pp. 564
Author(s):  
R. Vijaya Kumar Reddy ◽  
Shaik Subhani ◽  
B. Srinivasa Rao ◽  
N. Lakshmipathi Anantha
Keyword(s):  
Machine Learning ◽  
Health Care ◽  
Outlier Detection ◽  
Health Care Industry ◽  
Work Load ◽  
Medical Data ◽  
The Novel ◽  
Cleaning Process ◽  
Care Industry ◽  
Global Data

<p>The concept of machine learning generate best results in health care data, it also reduce the work load of health care industry. This algorithm potentially overcome the issues and find out the novel knowledge for development of medical date in health care industry. In this paper propose a new algorithm for finding the outliers using different datasets. Considering that medical data are analytic of mutually health problems and an activity. The proposed algorithm is working based on supervised and unsupervised learning. This algorithm detects the outliers in medical data. The effectiveness of local and global data factor for outlier detection for medical data in real time. Whatever, the model used in this scenario from their training and testing of medical data. The cleaning process based on the complete attributes of dataset of similarity operations. Experiments are conducted in built in various medical datasets. The statistical outcome describe that the machine learning based outlier finding algorithm given that best accurateness.</p>

scholarly journals Exploring the Social Networks’ Use in the Health-Care Industry: A Multi-Level Analysis

2021 ◽  
Vol 18 (14) ◽  
pp. 7295
Author(s):  
Tommasina Pianese ◽  
Patrizia Belfiore
Keyword(s):  
Health Care ◽  
Social Networks ◽  
Health Care Providers ◽  
Health Care Industry ◽  
Future Research ◽  
Great Level ◽  
Care Providers ◽  
Care Industry ◽  
Multi Level ◽  
Video And Audio

The application of social networks in the health domain has become increasingly prevalent. They are web-based technologies which bring together a group of people and health-care providers having in common health-related interests, who share text, image, video and audio contents and interact with each other. This explains the increasing amount of attention paid to this topic by researchers who have investigated a variety of issues dealing with the specific applications in the health-care industry. The aim of this study is to systematize this fragmented body of literature, and provide a comprehensive and multi-level overview of the studies that has been carried out to date on social network uses in healthcare, taking into account the great level of diversity that characterizes this industry. To this end, we conduct a scoping review enabling to identify the major research streams, whose aggregate knowledge are discussed according to three levels of analysis that reflect the viewpoints of the major actors using social networks for health-care purposes, i.e., governments, health-care providers (including health-care organizations and professionals) and social networks’ users (including ill patients and general public). We conclude by proposing directions for future research.

Antitrust Implications of Health Planning: National Gerimedical Hospital and Gerontology Center v. Blue Cross of Kansas City

1982 ◽  
Vol 8 (3) ◽  
pp. 321-348
Author(s):  
Judy B. Chase
Keyword(s):  
Health Care ◽  
Kansas City ◽  
Health Planning ◽  
United States Supreme Court ◽  
Health Care Industry ◽  
The United States ◽  
United States Supreme ◽  
Planning Activity ◽  
Care Industry ◽  
Antitrust Laws

AbstractIn National Gerimedical Hospital and Gerontology Center v. Blue Cross of Kansas City, the United States Supreme Court held that there is no blanket exemption from antitrust laws for health planning activities.‘The Court also held that no specific immunity can be granted where the challenged health planning activity is not undertaken pursuant to a federal regulatory scheme. This Comment reviews the Court’s decision and concludes that the Court correctly determined that the challenged activities did not qualify for an exemption. The Comment also examines the implications of the Court's statement that, where Congress has manifested a belief that competition is ineffective in the health care industry, application of the antitrust laws should be modified. The Comment recommends that an intermediate review standard such as the “presumptive, incentive modifying approach” should be used by future courts in deciding whether the ineffectiveness of competition in a given area of health planning activity warrants immunity from antitrust scrutiny.

Examining Exclusionary Conduct of HMOs and PPOs: A Case Comment on Northwest Medical Laboratories v. Blue Cross and Blue Shield of Oregon

1991 ◽  
Vol 17 (3) ◽  
pp. 271-288
Author(s):  
Debra M. Levitt
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Health Care Industry ◽  
Medical Laboratory ◽  
Care Providers ◽  
Court Of Appeals ◽  
Medical Laboratories ◽  
Care Industry ◽  
Antitrust Analysis ◽  
Blue Shield

As the climate of the health care industry has changed to one of cost-containment and competition through the growth of HMOs and PPOs, health care providers have become the subjects of antitrust litigation. One such case, Northwest Medical Laboratories v. Blue Cross and Blue Shield of Oregon, involved a medical laboratory and a radiology center who claimed that they were victims of an illegal group boycott after defendant's pre-paid health plan denied them preferred provider status. The Oregon Court of Appeals, using the traditional antitrust analysis applied to other industries for decades, failed to consider the intricacies that exist within the health care industry. This result led to an inaccurate market share computation and an inadequate rule of reason analysis. This Comment examines the shortcomings of the Northwest Medical opinion and argues that, in applying the antitrust laws to the health care industry, courts in future cases must recognize and respect the unique features of the business of providing health care.

The impact of DRGs on the health care industry

1987 ◽  
Vol 12 (3) ◽  
pp. 61-74 ◽  
Author(s):  
Warren Balinsky ◽  
Jodi L. Starkman
Keyword(s):  
Health Care ◽  
Health Care Industry ◽  
Care Industry ◽  
The Impact
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