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    What is Data Mining? Well, it can be defined as the process of getting hidden information from the piles of databases for analysis purposes. Data Mini
    According to USFDA, a combination product is one composed of any combination of a drug and device; biological product and device; drug and biological product
    ng is also known as Knowledge Discovery in Databases (KDD). It is nothing but extraction of data from large databases for some specialized work.

    Data
    ; or drug, device, and biological product and fixed dose combination would include two or more combinations of drug.

    Examples of combination products may in
    Mining is largely used in several applications such as understanding consumer research marketing, product analysis, demand and supply analysis, e-com
    lude drug-coated devices, drugs packaged with delivery devices in medical kits, and drugs and devices packaged separately but intended to be used together.

    merce, investment trend in stocks & real estates, telecommunications and so on. Data Mining is based on mathematical algorithm and analytical skills t
    here is enormous increase in the number of combination products entering the market in the recent years. Combination products have proven advantages but fixe
    o drive the desired results from the huge database collection.

    Data Mining has great importance in today’s highly competitive business environment. A
    d dose combinations are still in the process of convincing regulatory authority on their advantages over the single ingredient formulations.

    Combination pro
    new concept of Business Intelligence data mining has evolved now, which is widely used by leading corporate houses to stay ahead of their competitors
    ucts have become life saving products for the pharmaceutical companies who doesn’t have many innovative molecules in their product pipeline and have been inc
    . Business Intelligence (BI) can help in providing latest information and used for competition analysis, market research, economical trends, consume b
    easingly used in the product life cycle management. Even the companies having product patents are trying to extend their product life cycle through the combi
    ehavior, industry research, geographical information analysis and so on. Business Intelligence Data Mining helps in decision-making.

    Data Mining appl
    nation products and maximize the revenues. But the companies involved in this practice are overlooking that they are burdening the patients both economically
    ications are widely used in direct marketing, health industry, e-commerce, customer relationship management (CRM), FMCG industry, telecommunication in
    and physically. They need to rightly judge the benefits of the combination products and they have to even look at the risks involved when combining the produ
    dustry and financial sector. Data mining is available in various forms like text mining, web mining, audio & video data mining, pictorial data mining,
    ts. Some of the combination products were well accepted by physicians while others suffered. Companies involved in development of combination products are fi
    relational databases, and social networks data mining.

    Data mining, however, is a crucial process and requires lots of time and patience in collectin
    ding difficulty in defining their combination products and facing various challenges from selecting a combination to marketing it.

    Following aspects would a
    g desired data due to complexity and of the databases. This could also be possible that you need to look for help from outsourcing companies. These ou
    dd to the challenges in developing combination products:

    Which markets to tap where the combination products can do fairly well?
    Which combination prod
    tsourcing companies are specialized in extracting or mining the data, filtering it and then keeping them in order for analysis. Data Mining has been u
    cts are meaningful and rational?
    Which therapeutic categories to select?
    Which Combinations can address unmet needs of the patients?
    Do combin
    sed in different context but is being commonly used for business and organizational needs for analytical purposes

    Usually data mining requires lots o
    tions increase the patient compliance?
    What would be the developing cost?
    How to tackle the risks encountered during combination product developmen
    f manual job such as collecting information, assessing data, using internet to look for more details etc. The second option is to make software that w
    t?

    As combination products don't fit into the traditional categories of drugs, medical devices, or biological products, the USFDA is in the process of devel
    ill scan the internet to find relevant details and information. Software option could be the best for data mining as this will save tremendous amount
    ping new procedures for reviewing their safety, efficacy and quality.

    Professional from academic institutions, pharmaceutical industries, health care indust
    of time and labor. Some of the popular data mining software programs available are Connexor Machines, Free Text Software Technologies, Megaputer Text
    y and representatives from various regulatory agencies are working out to design the regulatory requirements for manufacture and sale of combination products
    Analyst, SAS Text Miner, LexiQuest, WordStat, Lextek Profiling Engine.

    However, this could be possible that you won’t get appropriate software which
    .

    As there is an increasing trend of the combination products companies manufacturing such products should be able to tackle the problems involved in the de
    will be suitable for your work or finding the suitable programmer would also be difficult or they may charge hefty amount for their services. Even if
    elopment. They need to be wiser in analyzing the market trends and the regulatory requirements.

    Companies that provide selfless information through particip
    you are using the best software, you will still need human help in completion of projects. In that case, outsourcing data mining job will be advisable


    tion in industry events and feedback to regulatory authorities would be able to face the challenges and will be successful in developing combination products

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