It refers to the possible outcomes of a disease and the frequency with which they can be expected to occur. Sometimes the characteristics of a particular patient can be used to more accurately predict that patient's eventual outcome.
Epidemiology: Studies of Disease Prognosis. Prognosis is a prediction of the course of a disease following its onset. It refers to the possible outcomes of a disease and the frequency with which they can be expected to occur.
Why risk prediction? Risk prediction is relevant to many questions in clinical medicine, public health, and epidemiology, and the predicted risks of a specific diagnosis or health outcome can be used to support decisions by patients, doctors, health policy makers, and academics (Table 1).
Prognosis is a prediction of the course of a disease following its onset. It refers to the possible outcomes of a disease and the frequency with which they can be expected to occur.
the progress of a pathological condition or process from inception, manifestation, and diagnosis through treatment and resolution.
Abstract. Health forecasting is a novel area of forecasting, and a valuable tool for predicting future health events or situations such as demands for health services and healthcare needs.
Listen to pronunciation. (prog-NO-sis) The likely outcome or course of a disease; the chance of recovery or recurrence.
Prognosis is the term used to describe the prediction of the probable course and outcome of a disease or condition as well as the outcome expected from an intervention, be it preventive or operative. Prognosis may also be used to estimate the likelihood of recovery from a disease or condition.
Disease prediction has the potential to benefit stakeholders such as the government and health insurance companies. It can identify patients at risk of disease or health conditions.
Disease Prediction using Machine Learning is the system that is used to predict the diseases from the symptoms which are given by the patients or any user. The system processes the symptoms provided by the user as input and gives the output as the probability of the disease.
The prognosis is a prediction of the course of a disease following its onset. It refers to the possible outcomes of a disease (e.g. death, chance of recovery, recurrence) and the frequency with which these outcomes can be expected to occur.
Dr. Byock: Prognosis is a term for the predicted course of a disease. People commonly use the word to refer to an individual's life expectancy, how long the person is likely to live.
Prognosis is a prediction or estimate of the chance of recovery or survival from a disease. Most healthcare providers give a prognosis based on statistics of how a disease acts in studies on the general population.
ex·pect·ed. (ek-spek'tĕd), In probability theory and statistics, interchangeable with mean or average; it need not be a probable or even possible value.
A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations.
A prognosis is made on the basis of the normal course of the diagnosed disease, the individual's physical and mental condition, the available treatments, and additional factors.
Prognosis research strategy (PROGRESS) 4: stratified medicine research.
Recent years have seen the late-phase development and approval of multiple new therapeutic compounds for the treatment of IBD. Although a growing therapeutic armamentarium can only be a positive step, success rates for individual therapies remain ∼20% to 30%.
Considerable research efforts are now being focused on developing prognostic and predictive tools that could make personalized therapy a reality in IBD ( Box 3 ). The attrition rate of promising biomarkers in oncology, however, highlights the need for appropriate methodology and careful analysis at every step of biomarker development ( Box 1 ).
Figure 1 The future of personalized therapy in IBD. Future implementation of personalized therapy in IBD is likely to require a combination of biomarkers.
The prognosis is a prediction of the course of a disease following its onset. It refers to the possible outcomes of a disease (e.g. death, chance of recovery, recurrence) and the frequency with which these outcomes can be expected to occur. Sometimes the characteristics of a particular patient can be used to more accurately predict ...
Risk and prognosis describe different outcomes – the onset of disease versus a range of disease consequences. Variables associated with an increased risk of developing a disease are not necessarily the same as those that indicate a worse prognosis or outcome.
There are several other important differences between prognostic factors and risk factors: 2. Study patients are different – in prognostic studies, they have already developed the disease of interest. Risk and prognosis describe different outcomes – the onset of disease versus a range of disease consequences.
A more accurate prediction of disease outcomes facilitates patient education and counseling. Prognostic studies may also allow subgroups of patients to be defined who are at particular risk of specific disease outcomes, leading to improved study designs and analysis of clinical trials through risk stratification.
Conditions associated with the outcome are identified; these are known as prognostic factors. Prognostic factors are similar to risk factors in conventional cohort studies, but they may occur at a different stage on the disease spectrum: risk factors are present before the development of a disease, whereas prognostic factors may ...
They suggest that readers should ask a series of questions to determine whether the results are valid, how they should be interpreted, and whether the information will benefit patients. The questions include:
1. Prognostic factors can be any of several types , including: Demographic (e.g. age) Behavioural (e.g. alcohol consumption, smoking) Disease-specific (e.g. tumour stage)