International Business Machines Corporation

Innoplexus Ag

Vivek Verma

Craig M Trim

Tushar Agrawal

Victoria O Odeyemi

Robert A Balfe

Sridhar Satuloori

Jason A Smith

Albert T Y Wong

Serge Baduk

Vatsal Agarwal

Sunil Patel

Esha Pandita

Disclosed is a system for documenting clinical trials, the system when operated identifies at least one publication related to a clinical trial entry to obtain documented clinical trial. The system comprises: an information repository comprising plurality of publications; a clinical trials registry database comprising a plurality of clinical trial entries; and a server arrangement. The server arrangement is configured to: obtain the plurality of publications; analyze the plurality of publications, using a filtering module, to determine a filtered set of publications; obtain the plurality of clinical trial entries; analyze a context of each of the publications in the filtered set and each of the plurality of clinical trial entries using a mapping module to identify a relationship of each of the publication with at least one of the plurality of clinical trial entries; and associate the plurality of clinical trial entries with publications related thereto to obtain documented clinical trials.

System and method of documenting clinical trials

Disclosed is system comprising data processing arrangement including processors configured to receive sentences from unlabeled training data set; tokenize, using tokenizer module, sentences to obtain tokens; generate character level features for character of tokens of sentences; generate token level feature for each token of the sentences, wherein token level feature of token in sentence is identified using token coordinates of token and token coordinates of tokens neighboring token in sentence; train artificial neural network adapted to identify entities in sentences to determine first trend set, wherein training is based on received sentences, character level features for each character of tokens of sentences and token level feature for tokens of sentences; train the artificial neural network on set of labelled data to determine second trend set; identify, using identifier module, entity in text content, wherein identifier module uses first trend set and second trend set determined by artificial neural network.

System and method to identify entity of data

A method for providing web transaction feedback includes a client device receiving a response indicating a success or a failure of a user operation pertaining to a potential web transaction. The client device then provides a web transaction feedback to the user using a human interface element capable of causing the client device to perform a set of motions and/or emit a range of temperatures. The set of motions is comprised of at least a first sub-set of the set of motions indicating the success of the user operation and at least a second sub-set of the set of motions indicating the failure of the user operation. The range of temperatures is comprised of at least a first temperature of the range of temperatures indicating the success of the user operation and at least a second temperature of the range of temperatures indicating the failure of the user operation.

Sensory feedback indicators for transactional processes

Growing community of inventors

Pune, India

Vivek Verma