International Business Machines Corporation

Anita Govindjee

Su Liu

Cheng Xu

Lakshminarayanan Krishnamurthy

Jenny S Li

Joseph N Kozhaya

Niyati Parameswaran

Ronald A Soltis

Giridhar E Buddepalli

Narayana Pattipati

Shanker Parameswaran

Ryan R Anderson

Javier Torres

Lisa M Salecedo Eichorn

Nina E Wilner

Kai Liu

Bing Fang

Hong Chuan Yuan

Corville O Allen

Anne Elizabeth Gattiker

Franck Barillaud

Xue Yong Zhang

Manjunath Ravi

Christopher Michael Madison

Matthew F Cali

Balaji Venkata Atyam

Lisa M Salcedo Eichorn

Catharina E Wilner

Joseph Max Kaufman

Pratyush Singh

Morgan Carroll

According to one embodiment, a method, computer system, and computer program product for electronic text curation is provided. The present invention may include analyzing text of an electronic book and reader preferences; coordinating at least one preset value based on the analyzed text and the analyzed reader preferences; calculating one or more initial scores; annotating the text of the electronic book based on the analyzed text and the analyzed reader preferences; updating the one or more calculated initial scores through dynamic scoring implementation; calculating one or more final scores; and highlighting the text of the electronic book based on the one or more calculated final scores.

Natural language processing electronic passage curation

Approaches presented herein enable treating a medical condition via individual customized cognitive guidance. More specifically, a current interactive and customized diagnosis object (ICDO) comprising a treatment schedule for a patient is generated by combining a set of previous ICDOs from the patient, wherein each ICDO has a structure which defines elements that are used to diagnose a symptom and match the patient with a treatment. A status of the patient is monitored in real time via an internet of things network to detect an actual event of the patient differing from the treatment schedule. In real time, the treatment schedule is modified responsive to the differing event by adjusting the current ICDO by exchanging one element of the treatment plan for a new element according to a learned set of rules to compensate for the differing event. This modified treatment schedule is provided to the patient in real time.

Personal customized guidance for treating patients

Embodiments of the present invention are directed to a computer-implemented method for proactive rich text format management. Aspects include obtaining a content item to be displayed to a user and obtaining a preferred rich text format template for the user. Aspects also include applying the preferred rich text format template to the content item to create a customized view of the content item and displaying the customized view of the content item to the user.

Proactive rich text format management

Utilizing a computing device executing a master chatbot and one or more modular chatbots to respond to one or more chat messages. A computing device executing the master chatbot receives one or more chat messages. The computing device parses the received one or more chat messages to discover an intent and entities contained within the chat messages. A ranking algorithm is employed to rank the master chatbot and a plurality of modular chatbots, the ranking algorithm scoring the master chatbot and the plurality of modular chatbots based upon the intent and entities contained within the one or more chat messages. The master chatbot responds to the chat message if the ranking algorithm rates the master chatbot highest or forwards automatically the one or more chat messages to a ranked modular chatbot for response if the ranking algorithm rates the ranked modular chatbot highest.

Chatbot orchestration

A system and method for instant tongue sampling and diagnosis includes acquiring a plurality of tongue images from a plurality of digital oral devices, and a current health conditions, building a diagnosis framework for diagnosing a current health condition of a user by: i) analyzing the collected tongue images with a visual recognition engine to determine tongue characteristics of each tongue captured in the tongue images, and ii) correlating the tongue characteristics with the current health condition, identifying tongue characteristics from a received image of the tongue using the visual image recognition engine, applying the diagnosis framework to the tongue characteristics of the tongue to diagnosis the current health condition of the user, and modifying a graphical user interface of the digital oral device to display a custom health report indicative of the current health condition of the user, in response to applying the diagnosis framework.

Diagnosis using a digital oral device

Managing vehicle operations according to driver behavior by: defining a multi-dimensional preemptive driver daily behavior (PDDB) data structure; defining a PDDB abnormal behavior criteria; and defining a PDDB abnormal behavior algorithm. Further, by: collecting PDDB data; acquiring a PDDB assessment according to the PDDB analysis; and preemptively communicating driver vehicle-access instructions according to the PDDB assessment.

Managing vehicle-access according to driver behavior

Described herein is a system and method for addition of content to a question answer (QA) system. The method may comprise retrieving, from a template store of the QA system, a template comprising one or more data fields and one or more metadata fields. The method may further comprise populating a passage field with passage information, wherein the passage field is one of the one or more data fields. The method may further comprise populating a training field with training information, wherein the training field is one of the one or more metadata fields. The method may further comprise ingesting, into a corpus of the QA system, a completed template comprising a populated passage field and a populated training field into the corpus.

Dynamic templates for incremental addition of specialized content into a cognitive question answer system

A method, apparatus, system and a computer program product are provided for scoring performance of a chatbot by capturing specified node performance metrics based on user interactions with one or more nodes in a dialog flow for the chatbot; assigning a score to each of the one or more nodes based on the specified node performance metrics; and assessing a performance measure for at least a portion of the chatbot by combining scores assigned to selected nodes in the dialog flow.

System and method for scoring performance of chatbots

A system and a computer program product are provided for evaluating question-answer pairs in an answer key by comparing a first answer key answer to a plurality of candidate answers to determine if the answer key may have a problem if the plurality of candidate answers are more similar to one another than to the first answer and to determine if the plurality of candidate answers has gradient information which may be used to update the answer key if not already included in the answer key.

System and method for identifying answer key problems in a natural language question and answering system

A system and method for providing reminding assistance. The system includes at least one processing component, at least one memory component, and a memory impairment detection and assistance environment. The memory impairment detection and assistance environment includes a reminding database, an analysis module, and an assistance module. The analysis module includes an attribute analyzer configured to determine values for attributes based on memory impairment detection data and a memory evaluator configured to determine that an attribute has a value that crosses a threshold attribute value. The assistance module includes a reminding assistant configured to receive a memory impairment signal and, in response, generate a reminder that includes information selected from the reminding database.

Detection and management of memory impairment

Embodiments relate to digital image processing for diagnosis of a subject. More specifically, the embodiments relate to automation of diagnoses through data interpretation. An image is acquired from the subject. Elements are recognized within the image based on morphological features. The image is compared to learned data. Based on the comparison, a probability of a potential diagnosis(es) is calculated. A diagnosis of the subject is determined based on the potential diagnosis(es) and the calculated probability. The diagnosis may be changed based on a new image acquired from the subject.

Brain wave processing for diagnosis of a subject

Digital data processing for diagnosis of a subject

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Ithaca, NY, United States of America

Anita Govindjee