Interdisciplinary Field Of Medical Study

Although heredity plays an important role whether a person inherits diabetes and to what extent, it can be controlled through useful methods that are affordable. By changing environmental risk factors, people can reduce their risk of developing diabetes. Increasing awareness of diabetes which is a major setback for some socio-economical background and rural areas as not enough awareness is made to the general public. Identifying people at risk for the disease is also another

The medical field is rapidly growing with so many different careers to choose from. There are many different things that you could specialize in. There are so many opportunities in the medical field for you to grow and become something bigger. A very interesting field to go in is a pediatric nurse. This specific career path interests me because when my little brother was 5 years old he suddenly woke up one morning with his body completely swollen. We immediately rushed him to the hospital. While at the hospital they told us that he had Nephrotic Syndrome. His kidneys weren’t properly working and he was leaking excess protein in his urine. Since that day I knew exactly what I wanted to do. I wanted to help others, especially kids in their

The goal for nurses as a profession is not only to be “patient advocates” but also assist the patient to learn and gain the necessary skills to achieve the best level of functioning for the patient based on their current illness. In order to help a patient achieve their optimal level of functioning the nurse must work with the patient and the interdisciplinary team to create a collaborative plan that is logical for the patient. Through examining a musculoskeletal disorder case study #35 from Preusser (2008), one can create a critical pathway for the patient, S.P. a 75 year old female, with severe rheumatoid arthritis (RA) and admitted to the orthopedic ward for a hip fracture status post fall (p. 183). Since the patient’s needs is unique

Interdisciplinary collaboration in health care is a critical value for successful outcome and maintenance of community health care and wellness. Community has raised the ethical concern of potential interference of private rights in mandatory AIDS or TB testing. The community leadership has instituted the voluntary testing and screening for AIDS as part of the health care strategy. Through research and analysis, the ethical and legal justification have been sufficiently supported the mandatory screening of “latent infection” (p.135, Bayer, year) Furthermore, contact tracing has provided surveillance program that may prevent in further spreading of the sexually transmitted disease or tuberculosis under the protection of privacy and confidential

When I think of my future, I can’t see myself in any other field besides medical. More specifically, I can not picture myself being anything other than a nurse. Many of my life experiences have began to prepare me to enter into the nursing field.

Prior to individuals being found eligible for special education, the general education teacher, other caregivers, or medical providers may identify individuals who may be having various difficulties in cognitive or physical development that may affect academic performance and social development. A request for intervention assistance may be made by a teacher or other professional so that a team of professionals can come together to have the child properly assessed and evaluated. The team will make a determination of what type of academic difficulties the individual may be having, and/or whether the individual is having behavioral difficulties that may cause learning to be impeded according to Salvia et al. (2017). The multidisciplinary team

Providence Health Plan has created a simple financial model to determine which patients will be enrolled in a care management program. Providence Health Plan’s disease management programs include congestive heart failure, coronary artery disease, diabetes, management, chronic obstructive pulmonary disease (COPD), and asthma. On a per-disease basis, the institution is able to assess risk based on the amount of money spent in an ambulatory or hospital setting. While the algorithm is crude, this use case shows once again how choosing simple data to operate on sometimes can yield important results. As care teams collaborate with data scientists, working toward simple and elegant solutions is often sufficient when more complex data mining is not possible

Abstract - The healthcare industry collects large amounts of Healthcare data, but unfortunately not all the data are mined which is required for discovering hidden patterns and effective decision making. We propose efficient genetic algorithm with the back propagation technique approach for heart disease predic-tion. This paper has analyzed prediction systems for Heart dis-ease using more number of input attributes. The System uses medical terms such as Gender, blood pressure, cholesterol like13 attributes to predict the likelihood of patient getting a Heart dis-ease.

Predictive modeling is another form of data analytics that is focused on forecasting the future medical costs. This model utilizes patients’ medical information in an effort to evaluate health risks and forecast the future of medical utilization (Ingenix, 2006). A large variety of predictive modeling procedures are available, which are created to assign a specific risk level or score to the patients (Asparouhov, 2012). Risk scores are controlled by the risk markers and are given to each patient in a specific population (Ingenix, 2006). In using any past diagnoses and other information gathered, the predictive models will calculate the individual patient costs that can then be used by healthcare providers and the insurers. Therefore, certain

I agree with you that the project management process is the multidisciplinary approach and for the individuals to be successful the collaborative approach is a must. Therefore, not only nurses but other specialties ought to be involved in accomplishing a task, especially when it requires the expertise from various professions. Moreover, that method would ensure that the project addresses adequately and thoroughly the issue needed augmentation and improvement. For example, recently I have been part of the insulin pump management policy in inpatient setting created to assure that patients who are managed by the device may remain on the insulin pump during admissions. However, if for any reason a patient's condition becomes compromised the health

To describe the main contrasts that I have identified from the moment that I got enrolled into college in this case The International Institute for Healthcare Professionals I would like to make it easy developing the main ideas in three directions that come to contrast what I thought about my peers students, my respectable professors and the instructions received in the courses, trying to get the most possible closer to reality so that they can contrast the best.

[T]raditional education has students focusing on one career at a time, generally encompassing a very specific field of interest. Students interested in the field of medicine study biology and don’t generally study much outside of science. Or, students interested in music study musical theory and learn several different instruments – they don’t cross over into other fields of thought. This type of learning, however, really doesn’t reflect the way the world works. It doesn’t even properly reflect human experience: many students are puzzled when it comes to choosing a field of study. They settle on one because there hasn’t been an option available that combines their interests in a practical way, or it simply isn’t shown to them.

The Clustering is a data mining technique used to place data elements into related groups without advance knowledge of the group description, which is a division of data into groups of similar objects. The data representing by fewer clusters necessarily loses certain fine details, but achieves generalization. It models data by its clusters. The data modeling puts clustering in a historical perspective rooted in statistics, numerical analysis and mathematics. In this paper represents the performance of three clustering algorithms such as EM, DBSCAN and SimpleKMeans are evaluated. The Diabetes dataset is used for estimating and evaluating the time factor for predicting the performance of the algorithms by using clustering

Data Mining is the non-trivial extraction of potentially useful information about data. In other words, Data Mining extracts the knowledge or interesting information from large set of structured data that are from different sources. There are various research domains in data mining specifically text mining, web mining, image mining, sequence mining, process mining, graph mining, etc. Data mining applications are used in a range of areas such as it is used for financial data analysis, retail and telecommunication industries, banking, health care and medicine. In health care, the data mining is mainly used for disease prediction. In data mining, there are several techniques have been developed and used for predicting the diseases that includes data preprocessing, classification, clustering, association rules and sequential patterns. This paper analyses the performance of two classification techniques such as Bayesian and Lazy classifiers for hepatitis dataset. In Bayesian classifier there are two algorithms namely BayesNet and NaiveBayes. In Lazy classifier we have two algorithms namely IBK and KStar. Comparative analysis is done by using the WEKA tool.It is open source software which consists of the collection of machine learning algorithms for data mining tasks.

Many research have been conducted in the area of medical data classification using machine learning the following paragraphs review and summarize these related works.