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HSMA @UCCY9_Gxg6kM-xjk9vV0mzIQ@youtube.com

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Channel for teaching materials for the NIHR Applied Research


51:25
(HSMA 6 Day 12) 4E Part 1/2 - Boosting Trees for Classification Problems
33:23
(HSMA 6 Day 12) 4E Part 2/2 - Predicting Numeric Values with Tree-based Algorithms + OneHot encoding
27:05
(HSMA 6 Day 12) 4D Part 2/2 - Random Forests, F1 score + Confusion Matrices
01:16:07
(HSMA 6 Day 12) 4D Part 1/2 - Decision Trees
01:58:36
(HSMA 6 Day 11) 4C - Ethics in AI
01:43:32
(HSMA 6 Day 11) 4B - Logistic Regression - Who Would Survive the Titanic?
01:35:56
(HSMA 6 Day 10) 4A - Introduction to AI and Machine Learning
16:09
(HSMA 6 Day 10) 3C - A brief introduction to routingpy
01:39:23
(HSMA 6 Day 10) 3D - Location Allocation Problems
01:22:06
(HSMA 6 Day 9) 3B - Geopandas and plotting static maps in Python with matplotlib
26:30
(HSMA 6 Day 9) 3C - Interactive Maps in Python with Folium
30:21
(HSMA 6 Day 9) 3C - Visualising Travel Time Data in Python
01:00:48
(HSMA 6 Day 9) 3B - Choropleths and print layouts in QGIS
02:01:33
(HSMA 6 Day 8) 3A Intro to Geospatial Problems in Health & Geographic Visualisation using QGIS Pt 1
01:39:50
(HSMA 6 Day 8) 2C SimPy Part 2
00:19
Simple Animated Simpy Visualisation - Emergency Department
01:08:41
HSMA 6 - 2B - Simpy Exercise 1 - Solution - Part 2
01:10:47
HSMA 6 - 2B - Simpy Exercise 1 - Solution - Part 1
01:50:34
(HSMA 6 Day 7) 2B SimPy Part 1
01:53:26
(HSMA 6 Day 7) 2A Introduction to Discrete Event Simulation
43:42
HSMA 1G - Intro to Python Part 3 - Exercise 1 (Classes) - Solution
33:53
HSMA 1F - Intro to Python Part 2 Exercise 4 - Solution - Working with Data with Pandas
12:09
HSMA 1F - Intro to Python Part 2 Exercise 4 - Solution - Importing csvs into Pandas
17:28
HSMA 1F - Intro to Python Part 2 - Exercise 3 (Numpy) - Task 2 - Solution
08:45
HSMA 1F - Intro to Python Part 2 - Exercise 3 (Numpy) - Task 1 - Solution
02:27:19
(HSMA 6 Day 6) 1G Python Programming Part 3
22:08
HSMA 1F - Intro to Python Part 2 - Exercise 2 - Task 2 (reading files wtih csv library) - Solution
09:36
HSMA 1F - Intro to Python Part 2 - Exercise 2 - Task 1 (exception handling) - Solution
22:23
HSMA 1F - Intro to Python Part 2 - Exercise 1 (functions) - Task 2 - Solution
15:13
HSMA 1F - Intro to Python Part 2 - Exercise 1 (functions) - Task 1 - Solution
44:37
HSMA 1E - Intro to Python Part 1 - Exercise 5 (number guessing game) - Solution
46:27
HSMA 1E - Intro to Python Part 1 - Exercise 4 (lists and dictionaries) - Solution
22:44
HSMA 1E - Intro to Python Part 1 - Exercise 3 (for loops and while loops) - Solution
35:40
HSMA 6 1E - Intro to Python Part 1 - Exercise 2 (maths, conditional logic) - Solution
20:46
HSMA 1E - Intro to Python Part 1 - Exercise 1 (printing, user input, casting, fStrings) - Solution
03:22:16
(HSMA 6 Day 5) 1F Python Programming Part 2
03:25:38
(HSMA 6 Day 4) 1E Python Programming Part 1
03:10:18
(HSMA 6 Day 3) : 1D Hello World! Introduction to the IDEs and Python Parlance
04:00:53
(HSMA 6 Day 2) : 1B Introduction to OR and Data Science and 1C Principles of Programming
01:04
An Introduction to Dan
14:51
An AI tool to determine the sentiment of tweets to police forces across the UK
10:56
Generating a richer understanding of relationships in crime data to safeguard individuals & families
13:42
Simulation modelling to test proposed models of pediatric critical care in South West England
20:27
Developing a generic vaccination service model for the COVID-19 pandemic and beyond
11:23
Modelling strategies to reduce the elective backlog in hip surgery
11:17
Using machine learning to predict hospital admissions & Length of Stay for respiratory conditions
12:35
Exploring the use of Machine Learning and NLP to predict admissions based on GP notes
18:00
Use of DES to tackle long waits & growing backlog for children needing neuro development assessment
11:07
The role of PIFU and ‘Digital Outpatients’ in Supporting the Elective Recovery
08:42
Discrete Event Simulation to Improve Flow and Performance in the Urgent Treatment Centre
09:11
Spatial Modelling of Violent Crime to Support Strategic Analysis
49:37
Discrete Event Simulation of Cognitive Behavioural Therapy Pathway in an IAPT Service
08:27
Using DES to Improve Flow through an Acute Medicine Assessment Pathway
09:50
Developing a Service Planning Decision Support Tool to Tackle Inequalities & Minimise Carbon Output
09:23
Effect of Booked Appointments on Waiting Times at Urgent Treatment Centres
10:14
Forecasting Demand and Length of Stay in the Emergency Department
11:07
Reducing Travel Times to Treatment for Cardiac Patients in the South East of England
10:18
South East Regional Covid 19 Vaccination Demand & Capacity Modelling
12:11
Use Of Discrete Event Simulation (DES) to reduce delays in Cancer Diagnosis & Treatment
12:09
Meeting the demand of 111 for primary care services