Data Science
Boost clinical performance by unraveling data
Tap into the unrealized potential of your big data to make valuable inroads into the market generating real-time insights with us.
At IQA, we simplify the complexity of managing ginormous amounts of data by designing powerful AI/ML modules to simplify complex datasets and help you discover opportunities, minimize operational gaps, and enhance business results.
Our data science team boasts of an ideal blend of skills and experience that enables us to strategize and implement our client’s data modelling goals effectively. We understand your requirements and objectives to combine mathematics, statistics, and relevant technology to equip you with a strong data-backed advantage over your competitors.
Our expertise in data science includes medical image analytics, Clinical NLU, Medical NLP, predictive modelling, Forecasting analytics, Data Mining, Big data analytics and statistical analysis.
Our ML-based Prognostic complemented predictive analytics solution leverages advanced mathematical and statistical algorithms to emphasize the data patterns, predict the likelihood of health conditions.
One of our powerhouses, we implement advanced automation to collect & normalize unstructured data from biomedical domains and unlocks the valuable insights and knowledge from the data.
Our specialized Clinical NLP algorithms utilize state-of-the-art language models to help extract the contextual information from the amorphous text data such as medical notes, clinical trial data, EHR, publications and research papers.
At IQA, diversified language models are implemented for interpretation of medical text data, performing sentiment analysis, processing semantics, identifying NER, Relationship extraction and arising Knowledge ontologies.
IQA Medical Image Analytics is powered by advanced cognitive algorithms and integrated systems developed by combining computer vision and medical image analytics. It uses image classification, segmentation and captioning methodologies.
Our specialized Clinical NLP algorithms utilize state-of-the-art language models to help extract the contextual information from the amorphous text data such as medical notes, clinical trial data, EHR, publications and research papers.
At IQA, AIOps offers data scientists to collaborate more effectively, iterate faster, automate ML workflows from building, testing and deploying the models in a highly scalable environment.
At Inductive Quotient, our data science services gives you control over your data, so you can use your mine of information to produce insights that best fit your use case, instead of overloading your decision-making process with too many insights.