"Future Healthcare Today: How Technology is Revolutionizing Holistic Wellness”: Free List of References from my "Paging Dr. Within" Book

FYI - here's a list of some of the references I used to make my book. I hope you find them useful in your own work.

References - Chapter 11 – How to Make and Use a “Patient Listener” and/or a “Super Symptom Checker”

References - Chapter 12 - Implementation – Helpers and/or Hindrances

Please see attached below.

Thanks

If interested, here's the link to my book "Paging Dr. Within" - https://books2read.com/u/mBgJnA

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References - Chapter 11 – How to Make and Use a “Patient Listener” and/or a “Super Symptom Checker”

FYI – This Chapter’s References are broken down into the following for your convenience…

· Miscellaneous (M-) References that could be used for both/either PL and SSC

· References that could help make/use a “Patient Listener” (PL-)

· References that could help make/use a “Super Symptom Checker” (SSC-)

To find “More Like These” References, perhaps closer to your Design, you could use the “Search Strings” in the Appendix in this book.

Miscellaneous (M-) References that could be used for both/either PL and SSC

M-2019 World Medical Innovation Forum | Artificial Intelligence

M-3 Innovative Google Technologies to Watch in Health Care

M-A Developer's Guide to Building AI Applications

M-About APIs - HealthIT.gov

M-Advanced artificial intelligence

M-Affective Computing Papers (Chatbots.org)

M-AI and bias - IBM Research

M-Ai4 Artificial Intelligence Healthcare Conference 2019

M-AIMed, Artificial Intelligence in Medicine

M-AiMIE (Artificial Intelligence in Medicine: Inclusion & Equity) Symposium

M-Algorithmic bias

M-Amazon’s Gender-Biased Algorithm Is Not Alone

M-Amplifying human ingenuity

M-An intelligence in our image : the risks of bias and errors in artificial intelligence

M-An Open Cloud Model for Expanding Healthcare Infrastructure

M-Announcing the Cloud Healthcare API beta: Improving data access and shareability across organizations

M-API Design and Fundamentals of Google Cloud's Apigee API Platform

M-APIs - Develop – NCBI (PubMed)

M-Artificial intelligence

M-Artificial Intelligence and Machine Learning in Clinical Development: a Translational Perspective

M-Artificial Intelligence for Health and Health Care

M-Artificial Intelligence Has A Problem With Bias, Here's How To Tackle It

M-Artificial intelligence, bias and clinical safety

M-Beginning Artificial Intelligence with the Raspberry Pi

M-Best AI Platforms Software

M-Building machine learning systems with Python : explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow

M-Cloud computing systems and applications in healthcare

M-Cloud Healthcare API

M-Cloud-Based Solutions for Healthcare IT

M-Combining multivariate statistics and the think-aloud protocol to assess Human-Computer Interaction barriers in symptom checkers

M-Data-to-text summarisation of patient records: Using computer-generated summaries to access patient histories

M-Deep learning with Hadoop : build, implement and scale distributed deep learning models for large-scale datasets

M-Designing health messages : approaches from communication theory and public health practice

M-Designing machine learning systems with Python : design efficient machine learning systems that give you more accurate results

M-Distributed artificial intelligence

M-Doctor Alexa will see you now: Is Amazon primed to come to your rescue?

M-Doctor Appointment Chatbot: Create a chatbot to make an appointment at the clinic

M-Elon Musk: I’m about to announce a ‘Neuralink’ product that connects your brain to computers

M-Engineering and algorithm design for an image processing Api: a technical report on ITK--the Insight Toolkit

M-Ensemble learning

MGenerating Medical Case Reports With The Linguistic String Parser

M-GitHub Curated list of awesome open source healthcare software, libraries, tools and resources.

M-Global Evolution of Research in Artificial Intelligence in Health and Medicine: A Bibliometric Study

M-Google’s head of ethical machine learning on the ways Google is tackling bias in AI

M-GoogleCloudPlatform/healthcare - GitHub

M-Hands-on artificial intelligence with Java for beginners : build intelligent apps using machine learning and deep learning with Deeplearning4j

M-Hands-On Deep Learning For Iot : train neural network models to develop intelligent iot... applications

M-Health Cloud Developer Guide

M-Health informatics in the cloud

M-Health Informatics On FHIR : how hl7's new api is transforming healthcare

M-Health Visualizations

M-healthcare.ai - Open source machine learning for healthcare

M-Heart of the machine : our future in a world of artificial emotional intelligence

M-How AI can develop biases and discriminate against patients

M-How algorithms can create inequality in health care, and how to fix it

M-How the “Big 4” Tech Companies Are Leading Healthcare Innovation

M-How to build a symptom checker and medical diagnose chat bot

M-How to Build a Virtual Nurse App Like Sensely?

M-How to Build an Ensemble Of Machine Learning Algorithms in R (ready to use boosting, bagging and stacking)

M-Human bias is a huge problem for AI. Here’s how we’re going to fix it

M-IBM's AI toolkit will help developers fight bias in AI

M-Inquire and Diagnose: Neural Symptom Checking Ensemble using Deep Reinforcement Learning

M-Intelligent healthcare system using an Arduino microcontroller and an android-based smartphone

M-Java deep learning projects : implement 10 real-world deep learning applications using Deeplearning4j and open source APIs

M-List of artificial intelligence projects

M-List of open-source health software

M-List of programming languages for artificial intelligence

M-Machine learning for dummies

M-Machine learning for healthcare analytics projects : build smart AI applications using neural network methodologies across the healthcare vertical market

M-Machine learning in Java : design, build, and deploy your own machine learning applications by leveraging key Java machine learning libraries

M-Machine Learning in Medicine - Cookbook Three

M-Machine learning in medicine - cookbook. [1]

M-Machine learning in medicine. Cookbook two

M-MACHINE, PLATFORM, CROWD : harnessing our digital future

M-Making Artificial Intelligence Accessible To Everyone

M-MATLAB Deep Learning : With Machine Learning, Neural Networks and Artificial Intelligence

M-Medical use operating systems evaluation and selection system and method for health care professionals

M-Method and system for providing personalized intelligent health content based on a user profile - WO Application WO2016036257A1

M-Method And System For Use Of A Health Profile With Health-Related Information Tools

M-Methods and apparatus for integrated medical case research and collaboration - US Application US20110153344A1

M-Methods and systems and computer program for providing personalized medical information

M-Microsoft Creating Tool to Weed Out AI Bias

M-OpenAI

M-OpenCog

M-Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data

M-Privacy Engineering:Personal Health Records In Cloud Computing Environments

M-Real-world machine learning projects with Scikit-Learn

M-Research Projects - Machine Learning for Health (ML4H)

M-Researchers add a splash of human intuition to planning algorithms

M-ResearchKit and CareKit - Apple

M-Run Multiple Deep Learning Experiments

M-Stanford Machine Learning Group

M-Startup strives to build a better symptom search engine using patients own words, open source data

M-Stress Management Using Artificial Intelligence

M-The Artificial Intelligence Wiki

M-The Creative Destruction Of Medicine : how the digital revolution will create better health care

M-The future of health-care diagnostics

M-The Human Bias in the AI Machine

M-The Microsoft Cognitive Toolkit

M-This is how AI bias really happens—and why it’s so hard to fix

M-Top 15 Raspberry Pi Medical and Healthcare IoT Projects With Arduino (EMR, PACS, DICOM, & Patient Monitoring)

M-Use parfor to Train Multiple Deep Learning Networks

M-Watson in your pocket: Supercomputer gets own apps

M-Wearable Hardware Design for the Internet of Medical Things (IoMT)

M-Yes, “algorithms” can be biased. Here’s why

References that could help make/use a “Patient Listener” (PL-)

PL-“Explore the fascinating and fast-moving field of chatbots. Take free online chatbot courses from IBM and learn to build your own chatbot.”

PL-6 Ideas to Use AI for Life-Like Virtual & Augmented Reality

PL-9 surprising things Google Home can't yet do

PL-A Chatbot System for Mental Healthcare Based on SAT Counseling Method

PL-A Clinical Reasoning Tool for Virtual Patients: Design-Based Research Study

PL-A Cloud-based Approach to Medical NLP

PL-A Computer That Reads Body Language

PL-A Deep Learning-based Stress Detection Algorithm with Speech Signal

PL-A production rule system for message summarization

PL-A Qualitative Comparison of Facebook and Twitter Bots

PL-A Quick Introduction to Text Summarization in Machine Learning

PL-A Trainable Document Summarizer

PL-Abstractive Summarization of Spoken and Written Conversations Based on Phrasal Queries

PL-Abstracts in Block Diagram Form

PL-ACM Intelligent Virtual Agents Conference 2019

PL-Advanced Smartphone-Based Sensing with Open-Source Task Automation

PL-Advances in automatic text summarization

PL-All ears - A sampler of intelligent listening technologies emerging from Stanford

PL-Amazon Alexa Accelerator

PL-Applying Metacognition Through Patient Encounters and Illness Scripts to Create a Conceptual Framework for Basic Science Integration, Storage, and Retrieval.

PL-Ari Shapiro - CEO and Founder of Embody Digital. Currently working as a Research Assistant Professor at the USC Institute for Creative Technologies and lead the Character Animation and Simulation research group.

PL-Automatic summarization

PL-Automatic Summarization of Patient Discharge Summaries to Create Problem Lists using Medical Language Processing

PL-Build Better Chatbots : A Complete Guide to Getting Started with Chatbots

PL-Build Chatbot Interactions : responsive, intuitive interfaces with ruby

PL-Building a Virtual Assistant for Raspberry Pi [recurso electrónico] The practical guide for constructing a voice-controlled virtual assistant

PL-Building an On-Demand Avatar-Based Health Intervention for Behavior Change

PL-Building Autonomous Sensitive Artificial Listeners

PL-Building Chatbots with Microsoft Bot Framework and Node. js.

PL-Building chatbots with Python : using natural language processing and machine learning

PL-Chatbot - Introduction | Raspberry Pi Projects

PL-Chatbot Architecture

PL-Chatbots - Developer News - freeCodeCamp

PL-Chatbots meet eHealth: automatizing healthcare

PL-Chatbots, Virtual Reality and Machine Learning: New Applications for the Future

PL-Computational model of listener behavior for Embodied Conversational Agents

PL-Computer interfaces including physiologically guided avatars

PL-Computer processing of body language

PL-Create assistants that go beyond basic FAQs

PL-Creating AI Conversations Panel Series: Voice User Interface Design & Nonverbal Communication in AI

PL-Deep Learning for Chatbots

PL-Deep learning from crowds

PL-Demo: Have a Chat with Sensitive Artificial Listeners

PL-Designing a Chatbot for a Brief Motivational Interview on Stress Management: Qualitative Case Study

PL-Designing an Expressive Avatar of a Real Person

PL-Designing bots : creating conversational experiences

PL-Designing for Health Chatbots

PL-Developing A Kinect Based holoportation System (Patient Listener?)

PL-ELIZA

PL-ELIZA : a computer program for the study of natural language communication between man and machine

PL-ELIZA: a very basic Rogerian psychotherapist chatbot

PL-ELSA: Empathy learning, socially-aware agents

PL-Embedding Health Literacy Tools in Patient EHR Portals to Facilitate Productive Patient Engagement

PL-Emotional Distress (Stress) Word Monitor and Analyzer

PL-Eve, the Arduino Chatbot

PL-Google’s New AI Smile Detector Shows How Embracing Race and Gender Can Reduce Bias

PL-Hands-On Chatbots and Conversational UI Development Build chatbots and voice user interfaces with Chatfuel, Dialogflow, Microsoft Bot Framework, Twilio, and Alexa Skills

PL-Holoportation (Patient Listener?)

PL-Holoportation: Virtual 3D Teleportation in Real-time (Patient Listener?)

PL-How do we build a medical chatbot? - Quora

PL-How Scientists Are Bringing Our AI Assistants to Life

PL-Humanoid Personalized Avatar Through Multiple Natural Language Processing

PL-In-depth understanding : a computer model of integrated processing for narrative comprehension

PL-Intelligent Text Summarization

PL-Learn how to build chatbot for Healthcare industry with Engati!

PL-List of 30+ Summarizer APIs, libraries, and software

PL-Machines could soon be able to understand and summarize text for you

PL-Making Health Communication Programs Work: A Planner’s Guide

PL-Methods and systems for robot personality development (Google Patent) - US8996429B1

PL-Microsoft Health Bot Project - AI At Work For Your Patients

PL-Professor designs chatbot to help, comfort patients in last years of their lives

PL-Programming challenges of chatbot: Current and future prospective

PL-Researcher develops a chatbot that already is a reference in healthcare

PL-So You Want to Build a Chat Bot – Here's How (Complete with Code!)

PL-Survey on Emotional Body Gesture Recognition

PL-Team introduces second-gen virtual therapists

PL-The Role of Metaphor in Design: Part 3 - Design for Artificial Intelligence

PL-TJBot - IBM.org

PL-Towards a chatbot for digital counselling

PL-Towards interactive narrative medicine

PL-Tukuoro Voice Layer SDK

PL-Understand Text Summarization and create your own summarizer in python

PL-voice recognition technology: Topics by Science.gov

PL-Voicebot and chatbot design Flexible conversational interfaces with Amazon Alexa, Google Home, and Facebook Messenger

PL-What Technology Is Required to Create a Chatbot for Patient Care?

References that could help make/use a “Super Symptom Checker” (SSC-)

SSC-$10million prize offered to design a Star Trek tricorder

SSC-7 apps for techies who want to improve their mental health

SSC-A computer-assisted recording, diagnosis and management of the medically ill system for use in the intensive care unit: A preliminary report

SSC-A decision-support application and system for medical differential-diagnosis and treatment using a question-answering system

SSC-A Disease Diagnosis and Treatment Recommendation System Based on Big Data Mining and Cloud Computing

SSC-A Learning Health Care System Using Computer-Aided Diagnosis

SSC-A Machine Learning Approach for Stress Detection using a Wireless Physical Activity Tracker

SSC-A MEDLINE categorization algorithm

SSC-A multi-task machine learning approach for comorbid patient prioritization

SSC-A neural computational aid to the diagnosis of acute myocardial infarction.

SSC-A programming interface for medical diagnosis prediction

SSC-A Simple Algorithm for Emotion Recognition, Using Physiological Signals of a Smart Watch

SSC-A Trusted Healthcare Data Analytics CloudPlatform

SSC-Advancing the Collection and Use of Patient-Reported Outcomes (PROs) through Health Information Technology (IT)

SSC-AffecTech showcases innovative mental health technology

SSC-Algorithms in differential diagnosis: how to approach common : how to approach common presenting complaints in adult patients, for medical students and junior doctors

SSC-An Algorithm for Defining Somatization in Children

SSC-An Ensemble Learning Based Framework for Traditional Chinese Medicine Data Analysis with ICD-10 Labels

SSC-An Online Medical Database Is Reducing Diagnostic Errors

SSC-Artificial Intelligence based Smart Doctor using Decision Tree Algorithm

SSC-Artificial Intelligence in XPRIZE DeepQ Tricorder and Book

SSC-Assistance to diagnosis tool

SSC-Automated method and system for screening and prevention of unnecessary medical procedures

SSC-Blood pressure and heart rate variability : computer analysis, modelling and clinical applications

SSC-Blue Button API Docs

SSC-Chronic Conditions Data Warehouse (CCW)

SSC-Clinical Apps Bundle

SSC-Coding Algorithms for Defining Comorbidities inICD-9-CM and ICD-10 Administrative Data

SSC-Common medical diagnoses : an algorithmic approach

SSC-Connecting to the EHR with Application Programming Interfaces (APIs)

SSC-Constructing a Computer-Aided Differential Diagnosis Engine from Open-Source APIs

SSC-Context-Aware Symptom Checking for Disease Diagnosis Using Hierarchical Reinforcement Learning

SSC-Current State and Near-Term Priorities for AI-Enabled Diagnostic Support Software in Health Care

SSC-database design for a symptom checker application

SSC-Data-Driven Clustering Of Psychiatric And Behavioral Symptoms Using A Web-Based Symptom Checker

SSC-Deep ECGNet: An Optimal Deep Learning Framework for Monitoring Mental Stress Using Ultra Short-Term ECG Signals.

SSC-Deep learning architectures for vector representations of patients and exploring predictors of 30-day hospital readmissions in patients with multiple chronic conditions

SSC-DeepBreath: Deep Learning of Breathing Patterns for Automatic Stress Recognition using Low-Cost Thermal Imaging in Unconstrained Settings

SSC-Design Notes - How to Measure Emotional Stress, Distress, and/or Pain

SSC-Designing Visual Communication of Everyday Illness Experiences in Pediatric Care

SSC-Developing a semantic web model for medical differential diagnosis recommendation.

SSC-Development of a Web Portal for Physical Activity and Symptom Tracking in Oncology Patients: Protocol for a Prospective Cohort Study

SSC-Development of an instrument to measure stress in the older adult.

SSC-Diagnosis Engine

SSC-Diagnosis through graphical representation of patient characteristics

SSC-Diagnostic Expert Systems Based on a Set Covering Model

SSC-disease-prediction · GitHub Topics · GitHub

SSC-DocBot: A novel clinical decision support algorithm

SSC-DrChrono - Free Healthcare API and SDK

SSC-Eliciting User Decision Requirements for Designing Computerized Diagnostic Support for Family Physicians

SSC-Emotional Stress State Detection Using Genetic Algorithm-Based Feature Selection on EEG Signals.

SSC-Emotion-Bracelet: A Web Service for Expressing Emotions through an Electronic Interface

SSC-GitHub - priaid-eHealth/symptomchecker

SSC-Heart Disease Detection by Using Machine Learning Algorithms and a Real-Time Cardiovascular Health Monitoring System

SSC-Heart Rate Variability: Indicator of User State as an Aid to Human-Computer Interaction

SSC-Homemade tricorders and handheld health care

SSC-How an AI expert took on his toughest project ever: writing code to save his son’s life

SSC-How to Create a Medical Symptom Checker with JavaScript

SSC-I am trying to find a symptom-disease dataset for a bioinformatics project. Where can I find one of these?

SSC-IBM Watson aligns with 16 health systems and imaging firms to apply cognitive computing to battle cancer, diabetes, heart disease

SSC-IBM Watson Health

SSC-Identifying diagnostic errors in primary care using an electronic screening algorithm.

SSC-infermedica-api · GitHub Topics · GitHub

SSC-LITFL’s Differential Diagnosis Database

SSC-Low-Cost Device Prototype for Automatic Medical Diagnosis Using Deep Learning Methods

SSC-Machine Learning for Medical Diagnostics – 4 Current Applications

SSC-Machine learning, medical diagnosis, and biomedical engineering research - commentary

SSC-Medical AI Startup Infermedica Releases a New Platform for Insurers

SSC-Medical Expert Systems for Diagnosis of Various Diseases

SSC-Method and apparatus for automated medical diagnosis using decision tree analysis

SSC-Method and system for identifying diagnostic and therapeutic options for medical conditions using electronic health records

SSC-Methods and system for improving the relevance, usefulness, and efficiency of Search Engine Technology - US Application US20180121545A1

SSC-Mobile applications for pain management: an app analysis for clinical usage

SSC-Neuro-Cognitive Diagnosis And Therapy Decision Support System

SSC-OpenClinical - Clinical applications - Diseases Database

SSC-OpenEMR

SSC-Rapid response decision device - US20130268891A1 - US Application

SSC-Raspberry Pi-Based Medical Expert System for Pre-Diagnosis of Mosquito-Borne Diseases

SSC-Researchers experiment with using “wearables” to diagnose serious health conditions

SSC-Researchers use technology to predict schizophrenia

SSC-SenseMyHeart: A cloud service and API for wearable heart monitors.

SSC-Snapshots of interfaces using S3DB's API

SSC-Stress Detection Using Low Cost Heart Rate Sensors

SSC-Stress Management and BioFeedback

SSC-Stress Measurement Toolbox

SSC-Stress meter for people with Autism Spectrum Disorder (ASD) to visualize and anticipate on their stress level

SSC-StressHacker: Towards Practical Stress Monitoring in the Wild with Smartwatches

SSC-Stressmeter.org

SSC-Students Strive to Develop '10-Cent Medical Checkup' Using Cell Phones

SSC-Summarization of an Online Medical Encyclopedia

SSC-Summarization of clinical information: A conceptual model

SSC-Sweat diagnostics

SSC-Symptom Checker Documentation

SSC-Symptom-checker tools

SSC-System, method and computer program product for disease monitoring and identification

SSC-Technology and Tools in the Diagnostic Process - Improving Diagnosis in Health Care

SSC-The coherent heart : heart-brain interactions, psychophysiological coherence, and the emergence of system-wide order

SSC-The Diagnostic Healthcare Tool That's Straight Out of Star Trek

SSC-The Medical Diagnosis API – Infermedica for Developers

SSC-The Potential Possibility of Symptom Checker

SSC-The Top 7 Free and Open Source EMR Software Products

SSC-Topic: symptom-checker · GitHub

SSC-United States Patent 9,474,481 - Method and system for assessment of cognitive function based on electronic device usage

SSC-Universal Electronic Personal Health Records Software System

SSC-Virtual Doctor System (VDS): Framework on Reasoning Issues: Ontology Based Reasoning for Virtual Doctor System

SSC-Wearable monitoring systems for psychological and physiological state assessment in a naturalistic environment.

SSC-What is the best API for medical diagnosis? - Quora

Jump back to read Chapter 12 of Book

References - Chapter 12 - Implementation – Helpers and/or Hindrances

7 Seed-Stage Funding Sources That Might Finance Your Startup

Accelerating Artificial Intelligence in health and care

Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings?

Artificial Intelligence and Machine Learning in Software as a Medical Device – FDA

Bringing the benefits of AI to everyone

Business incubator

Can Insurance Companies Incentivize Their Customers to Be Healthier?

CMS Artificial Intelligence Health Outcomes Challenge

Coherence: Bridging Personal, Social, And Global Health

Comparison of crowdfunding services

Connecting the System to Enhance the Practitioner and Consumer Experience in Healthcare : Selected Papers from the 26th Australian National Health Informatics Conference (HIC 2018)

Could Open Innovation Hasten The Creation of an Actual Tricorder?

Crowdfunding

Doctor as Designer

From Virtual Nurses To Drug Discovery: 106 Artificial Intelligence Startups In Healthcare

Get to know Google’s AI-focused venture fund

Google Searches For Ways To Put Artificial Intelligence To Use In Health Care

Gradient Ventures

Microsoft’s venture fund invests in healthcare startup Innovaccer

Microsoft® AI Innovation

Open innovation & crowdsourcing resources

Opening the Black Box of “Not Invented Here”: Attitudes, Decision Biases, and Behavioral Consequences

Organization For Physiological Homeostasis

Organization for physiological homeostasis

Partnership on AI

Physicians delve into startup funding

Repository for Doctor AI project

Resources - Digital Health Funding - Digital health funding in first half of 2019 hits record $5.1B: report

Society to Improve Diagnosis in Medicine

Startup Funding: The 14 Best Sources of 2019

StartUp Health HQ - Connecting Health Transformers and Changemakers

Tech Giants Give Healthcare Artificial Intelligence Start-Ups a Boost

The global OpenMRS community works together to build the world's leading open source enterprise electronic medical record system platform.

The Opportunity and Obstacles for Smartwatches and Wearable Sensors

The Power of Prevention Chronic disease . . . the public health challenge of the 21st century

Thoughts on future doctors

Top Artificial Intelligence Companies in Healthcare to Keep an Eye On

Use of Crowd Innovation to Develop an Artificial Intelligence–Based Solution for Radiation Therapy Targeting

What proven innovations have you created that would enhance health care value in the U.S. if broadly disseminated?

What the Insurance Industry Can Do to Fix Health Care

What Will Health Care Look Like Once Smart Speakers Are Everywhere?

Upstream health law

Good luck in your own work!

Monday, March 30, 2020

Free List of References from my "Paging Dr. Within" Book - How to Make, Use, and Implement

PL-Methods and systems for robot personality development (Google Patent) - US8996429B1

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